{ "count" : 63581, "data" : [ { "id" : "6a3078d3f292fd229c02d03e", "title" : "Medical Monitor", "company" : "PSI CRO", "industry" : "Pharmaceuticals", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Medical Monitor in Tokyo, Japan, adjusted for the Pharma industry and company size." }, "location" : "Tokyo, Tokyo, JP", "locations" : [ "Tokyo", "Tokyo", "JP" ], "timestamp" : "2026-06-16T12:07:45.625", "fingerprint" : "6bac6156ebe029b61eef7dee8a59a8017271b18b821f8d81b7419d8e192bd3b3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PSICRO/744000132165556-medical-monitor", "externalId" : "744000132165556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "state" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6812546,139.7667060" }, { "city" : "Osaka", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "34.6937569,135.5014539" } ], "locationText" : "Tokyo, Tokyo, Japan; 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Full-time employment, Office location: Tokyo or Osaka Responsibilities: * Advise clients, project teams, sites, data safety monitoring boards, regulatory agencies and third-party vendors on medical matters * Collaborate with internal departments in the preparation of clinical development plans, protocols, investigator brochures, annual reports, clinical study reports, manuscripts, and different scientific presentations * Review and analysis of clinical data to ensure the safety of study participants in clinical studies * Ensure that the reported data is accurate, complete, and verifiable, and that the conduct of the trial is in compliance with the currently approved protocol/amendments * Address safety issues across the study from sites and the study team * Participate in bid defense meetings * Assist in Pharmacovigilance activities * Identify Program risks, and create and implement mitigation strategies with Clinical Operations * Ability to organise and lead clinical development advisory boards and safety monitoring boards * Ensure Study team compliance with local regulatory agencies, ICH and GCP guidelines * Review and sign off clinical documents with respect to medical relevance ## Qualifications * Medical Doctor degree * Board-certification in major therapeutic area (Oncology, Infectious disease, Gastroenterology, Hematology, Internal Medicine) is desirable * Prior experience in Clinical Research. * Familiar and comfortable with clinical concepts, practices and local regulations regarding clinical research trials experience with local health authority interactions leading to drug approval strongly preferred * Ability to interact with and train clinical monitors and physician investigators, and build constructive, trusting and respectful relationships with colleagues at all levels within and outside the organization * Must possess excellent leadership, communication, presentation, and organizational skills and be able to exercise sound critical thinking and problem-solving skills and execute position responsibilities with minimal guidance * Proficiency with MS Office applications ## Additional Information Join our highly dedicated team of clinical research professionals with 250+ Medical Doctors onboard, and make a tangible difference within a professional and energetic organization founded by scientists.", "summaryDescription" : "Medical Monitor at PSI CRO. 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Digital Delivery Leads; Production staff; Clients; Management", "projectManagementSkills" : [ "Digital Delivery Plan" ], "domainKnowledge" : "Building systems operations; Industry standards; Discipline codes; Specifications; Content creation concepts; Content management concepts", "domainList" : [ "building-systems-operations", "industry-standards", "discipline-codes", "specifications", "content-creation-concepts", "content-management-concepts" ], "domainSpecificKnowledge" : [ "Building systems operations", "Industry standards", "Discipline codes", "Specifications", "Content creation concepts", "Content management concepts" ], "toolProficiency" : [ "3D design software", "Document management infrastructure", "3D Coordination tools", "Microsoft Office", "Communication tools" ], "communicationSkills" : "Client service; Presentations", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "Technical degree or education and experience, 5 years digital design experience, 3 years digital delivery experience, Advanced skillset of 3D design software, Advanced skillset of document management infrastructure, Advanced skillset of 3D Coordination tools, Advanced skillset of Microsoft Office products, Advanced skillset of communication tools", "qualificationsPreferred" : "Experience developing automation software, Experience managing diverse teams", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Model Manager , we’ll count on you to: Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly with the Project Manager to generate and maintain the Digital Delivery Plan (DDP), while managing the deliverables outlined within Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute digital deliverables and support production teams throughout the complete lifecycle of projects Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Execute these tasks with minimal oversight by the Digital Delivery Leads and provide guidance to project team members Develop and maintain the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Experience in developing and using automation software products and procedures for design Experience in development and management of diverse teams Preference given to local candidates Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support #LI-MW4 What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D coordination. Manage digital model environment. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Model Manager , we’ll count on you to: Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly with the Project Manager to generate and maintain the Digital Delivery Plan (DDP), while managing the deliverables outlined within Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute digital deliverables and support production teams throughout the complete lifecycle of projects Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Execute these tasks with minimal oversight by the Digital Delivery Leads and provide guidance to project team members Develop and maintain the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Experience in developing and using automation software products and procedures for design Experience in development and management of diverse teams Preference given to local candidates Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support #LI-MW4 What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D design software, 3D coordination. Manage digital model environment. 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In the role of Model Manager , we’ll count on you to: Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly with the Project Manager to generate and maintain the Digital Delivery Plan (DDP), while managing the deliverables outlined within Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute digital deliverables and support production teams throughout the complete lifecycle of projects Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Execute these tasks with minimal oversight by the Digital Delivery Leads and provide guidance to project team members Develop and maintain the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Experience in developing and using automation software products and procedures for design Experience in development and management of diverse teams Preference given to local candidates Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support #LI-MW4 What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D coordination. Manage digital model environment. 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Problem-solving", "qualificationsBasic" : "Technical degree or education/experience combination, 5+ years digital design experience, 3+ years digital delivery experience, Advanced skillset 3D design software, Advanced skillset document management infrastructure, Advanced skillset 3D Coordination tools, Advanced skillset Microsoft Office, Advanced skillset communication tools, Superior client service skills, Superior presentation skills, Analytical skills, Problem-solving skills", "qualificationsPreferred" : "Experience developing automation software, Experience managing diverse teams", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Model Manager , we’ll count on you to: Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly with the Project Manager to generate and maintain the Digital Delivery Plan (DDP), while managing the deliverables outlined within Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute digital deliverables and support production teams throughout the complete lifecycle of projects Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Execute these tasks with minimal oversight by the Digital Delivery Leads and provide guidance to project team members Develop and maintain the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Experience in developing and using automation software products and procedures for design Experience in development and management of diverse teams Preference given to local candidates Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support #LI-MW4 What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D coordination, Project management. Manage digital model environment. Manage project deliverables", "createdAt" : "2026-06-15T23:08:14.710", "lastUpdated" : "2026-06-16T07:07:03.612", "ingestTimestamp" : "2026-06-15T23:08:14.710", "mongoId" : "6a305764f292fd229cf3938b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Digital design", "Digital delivery", "Model management", "3D design", "Document management", "3D coordination", "Microsoft Office", "Automation", "Programming", "Project management", "Digital model management", "Model coordination", "Quality control", "Technical support", "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills", "Digital Delivery Plan", "Project initiation", "Server infrastructure", "Design Reviews", "3D Coordination", "Project archiving", "Building systems", "Industry standards", "Discipline codes", "Project requirements", "3D design software", "Document management infrastructure", "3D Coordination tools", "Communication tools" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305764f292fd229cf3935e", "title" : "Model Manager", "company" : "HDR", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Model Manager in the United States, adjusted for manager seniority and the construction industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T06:48:27.236", "fingerprint" : "decb241d8bd0ca3c1f865a187887962c3973a5694e7fdbeb7d7e2ee3bbb90f96", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785633", "externalId" : "785633", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "3D design software, Document management, 3D Coordination tools, Microsoft Office, Automation software, Programming applications", "professionalSkills" : [ "Digital model management", "Digital delivery", "Model coordination", "Quality control", "Technical support", "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills" ], "hardSkillsList" : [ "Digital design", "Digital delivery", "Model management", "3D design", "Document management", "3D coordination", "Microsoft Office", "Automation", "Programming" ], "hardSkills" : [ { "name" : "Digital design", "level" : "intermediate" }, { "name" : "Digital delivery", "level" : "intermediate" }, { "name" : "Model management", "level" : "intermediate" }, { "name" : "3D design", "level" : "intermediate" }, { "name" : "Document management", "level" : "intermediate" }, { "name" : "3D coordination", "level" : "intermediate" }, { "name" : "Microsoft Office", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "majorSkills" : "Model management, Digital delivery, 3D design software, 3D coordination tools", "majorSkillsList" : [ "Model management", "Digital delivery", "3D design software", "3D coordination tools" ], "coreResponsibilities" : "Manage digital model environment, Manage project deliverables, Generate Digital Delivery Plan, Maintain Digital Delivery Plan, Manage outlined deliverables, Initiate project procedures, Establish server infrastructure, Establish discipline models, Establish digital deliverables, Execute digital deliverables, Support production teams, Provide technical support, Communicate deliverable schedule, Monitor model health, Monitor coordination processes, Provide guidance to team members, Develop Digital Delivery Plan, Maintain Digital Delivery Plan, Establish document management system, Maintain server infrastructure, Ensure appropriate software, Ensure appropriate versions, Ensure appropriate access, Ensure appropriate training, Generate model setup, Maintain model setup, Monitor company standards, Monitor model health, Host coordination meetings, Ensure quality control, Conduct Design Reviews, Conduct 3D Coordination, Compile project digital deliverables, Manage exchange process, Archive projects, Archive submittals, Archive closeout", "teamCollaboration" : "Project teams; Digital Delivery Leads; Production teams; Project Manager; Discipline models; Project team members; Project digital deliverables; HDR management; Production staff; Clients", "projectManagementSkills" : [ "Digital Delivery Plan" ], "domainKnowledge" : "Building systems operations; Industry standards; Discipline codes; Specifications", "domainList" : [ "building-systems-operations", "industry-standards", "discipline-codes", "specifications" ], "domainSpecificKnowledge" : [ "Building systems operations", "Industry standards", "Discipline codes", "Specifications" ], "toolProficiency" : [ "3D design software", "Document management infrastructure", "3D Coordination tools", "Microsoft Office", "Communication tools" ], "communicationSkills" : "Client service; Communication; Presentation skills", "documentationSkills" : "Digital Delivery Plan", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Technical support", "qualificationsBasic" : "Technical degree or education and experience, 5 years digital design experience, 3 years digital delivery experience, Advanced skillset of 3D design software, Advanced skillset of document management infrastructure, Advanced skillset of 3D Coordination tools, Advanced skillset of Microsoft Office products, Advanced skillset of communication tools, Superior client service skills, Superior communication skills, Superior presentation skills, Analytical skills, Problem-solving skills", "qualificationsPreferred" : "Experience developing automation software, Experience managing diverse teams", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Model Manager , we’ll count on you to: Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly with the Project Manager to generate and maintain the Digital Delivery Plan (DDP), while managing the deliverables outlined within Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute digital deliverables and support production teams throughout the complete lifecycle of projects Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Execute these tasks with minimal oversight by the Digital Delivery Leads and provide guidance to project team members Develop and maintain the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Experience in developing and using automation software products and procedures for design Experience in development and management of diverse teams Preference given to local candidates Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support #LI-MW4 What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D design software, 3D coordination tools. Manage digital model environment. Manage project deliverables", "createdAt" : "2026-06-15T23:08:02.300", "lastUpdated" : "2026-06-16T06:48:27.236", "ingestTimestamp" : "2026-06-15T23:08:02.300", "mongoId" : "6a305764f292fd229cf3935e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Digital design", "Digital delivery", "Model management", "3D design", "Document management", "3D coordination", "Microsoft Office", "Automation", "Programming", "3D design software", "3D coordination tools", "Digital model management", "Model coordination", "Quality control", "Technical support", "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills", "Digital Delivery Plan", "Building systems operations", "Industry standards", "Discipline codes", "Specifications", "Document management infrastructure", "3D Coordination tools", "Communication tools" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30753bf292fd229c00d516", "title" : "Flight Monitor", "company" : "Amazon. com Services LLC", "industry" : "Fulfillment Operations Management, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 23.0, "max" : 40.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Beaumont, California, USA", "locations" : [ "Beaumont, California, USA" ], "timestamp" : "2026-06-16T12:46:52.174", "fingerprint" : "783c121a8831679c257adea26ed01addb522557b3cd5b191bfd306c12761f442", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449457/apply", "externalId" : "9ad70940-de58-435b-9f79-f5fb81e70de5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beaumont", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9299925,-116.9763092" } ], "locationText" : "Beaumont, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is seeking a highly skilled and vigilant Flight Monitor to join our dynamic team. This critical role is central to our commitment to delivering packages safely, efficiently, and reliably through our advanced drone fleet. The Flight Monitor will be responsible for real-time monitoring of drone flights, ensuring operational compliance, and maintaining the highest standards of safety and efficiency. Key job responsibilities • Continuously monitor the status of all active drone flights within the assigned region, utilizing our state-of-the-art monitoring systems. • Identify and respond to any deviations from planned flight paths or operational parameters. • Ensure all drone flights comply with regulatory requirements and company safety policies. • Coordinate effectively with the relevant teams to implement immediate response strategies to mitigate risks and resolve situations. • Prepare and submit detailed reports on flight activities, incidents, and anomalies. Provide feedback and insights to support continuous operational improvement. • Utilize excellent analytical, problem-solving, and decision-making skills while maintaining a high attention to detail in all tasks. • Demonstrate strong communication and interpersonal skills while working effectively in a high-pressure environment. • Adhere to FAA regulations and Prime Air directives and processes. This role requires the ability to carry/lift up to 50 lbs., stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend and reach. This role requires the ability to work any shift, including nights, weekends, and holidays This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA. Basic Qualifications: - FAA Part 107 Remote Pilot Certificate - High School diploma or equivalent - Knowledge of weather patterns for flight operations - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach - Travel up to 25% of the time - Experience interpreting flight monitoring systems or similar technical platforms - Experience with Federal Aviation Administration (FAA) regulations or similar technical platforms - Understanding and application of FAA regulations and aviation policy and safety protocols - Can decode METAR readings, interpret weather conditions that may affect operations, and recommend appropriate actions. - Experience working with computer systems and troubleshooting - Can work in an environment where the noise level varies and is subject to variable temperatures and weather conditions, including working outside in outdoor temperatures and refrigerated environments - Can show a demonstrated record of good attendance and the ability to consistently arrive on time for scheduled shifts Preferred Qualifications: - Experience in aviation, drone operations, or a similar real-time monitoring role - Experience with technical or engineering record keeping methods and tools - Can show excellent decision-making capabilities under pressure - Experience with risk assessment and mitigation - Can show ablitiy to multitask in a fast-paced environment - Prior experience in aviation, drone operations, or a similar real-time monitoring role - Excellent decision-making capabilities under pressure Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Beaumont - 23.00 - 40.00 USD hourly", "summaryDescription" : "Flight Monitor at Amazon. com Services LLC", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:53:53.849", "lastUpdated" : "2026-06-16T12:46:52.174", "ingestTimestamp" : "2026-06-16T01:53:53.849", "mongoId" : "6a30753bf292fd229c00d516", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449457/apply", "salaryAnnualMin" : 47840, "salaryAnnualMax" : 83200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30753bf292fd229c00d4fb", "title" : "Flight Monitor", "company" : "Amazon. com Services LLC", "industry" : "Fulfillment Operations Management, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 23.0, "max" : 40.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Beaumont, California, USA", "locations" : [ "Beaumont, California, USA" ], "timestamp" : "2026-06-16T11:24:58.195", "fingerprint" : "3e3a09b8b865755cae91f039677dfa8a70b6adf6e8abe427de831fde97cb2fb2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449485/apply", "externalId" : "fa285e57-6b44-4a2e-9270-2681448308a8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beaumont", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9299925,-116.9763092" } ], "locationText" : "Beaumont, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is seeking a highly skilled and vigilant Flight Monitor to join our dynamic team. This critical role is central to our commitment to delivering packages safely, efficiently, and reliably through our advanced drone fleet. The Flight Monitor will be responsible for real-time monitoring of drone flights, ensuring operational compliance, and maintaining the highest standards of safety and efficiency. Key job responsibilities • Continuously monitor the status of all active drone flights within the assigned region, utilizing our state-of-the-art monitoring systems. • Identify and respond to any deviations from planned flight paths or operational parameters. • Ensure all drone flights comply with regulatory requirements and company safety policies. • Coordinate effectively with the relevant teams to implement immediate response strategies to mitigate risks and resolve situations. • Prepare and submit detailed reports on flight activities, incidents, and anomalies. Provide feedback and insights to support continuous operational improvement. • Utilize excellent analytical, problem-solving, and decision-making skills while maintaining a high attention to detail in all tasks. • Demonstrate strong communication and interpersonal skills while working effectively in a high-pressure environment. • Adhere to FAA regulations and Prime Air directives and processes. This role requires the ability to carry/lift up to 50 lbs., stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend and reach. This role requires the ability to work any shift, including nights, weekends, and holidays This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA. Basic Qualifications: - FAA Part 107 Remote Pilot Certificate - High School diploma or equivalent - Knowledge of weather patterns for flight operations - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach - Travel up to 25% of the time - Experience interpreting flight monitoring systems or similar technical platforms - Experience with Federal Aviation Administration (FAA) regulations or similar technical platforms - Understanding and application of FAA regulations and aviation policy and safety protocols - Can decode METAR readings, interpret weather conditions that may affect operations, and recommend appropriate actions. - Experience working with computer systems and troubleshooting - Can work in an environment where the noise level varies and is subject to variable temperatures and weather conditions, including working outside in outdoor temperatures and refrigerated environments - Can show a demonstrated record of good attendance and the ability to consistently arrive on time for scheduled shifts Preferred Qualifications: - Experience in aviation, drone operations, or a similar real-time monitoring role - Experience with technical or engineering record keeping methods and tools - Can show excellent decision-making capabilities under pressure - Experience with risk assessment and mitigation - Can show ablitiy to multitask in a fast-paced environment - Prior experience in aviation, drone operations, or a similar real-time monitoring role - Excellent decision-making capabilities under pressure Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Beaumont - 23.00 - 40.00 USD hourly", "summaryDescription" : "Flight Monitor at Amazon. com Services LLC", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:53:45.918", "lastUpdated" : "2026-06-16T11:24:58.195", "ingestTimestamp" : "2026-06-16T01:53:45.918", "mongoId" : "6a30753bf292fd229c00d4fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449485/apply", "salaryAnnualMin" : 47840, "salaryAnnualMax" : 83200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f0ef292fd229c054cea", "title" : "Senior ML Engineer, Foundation Models", "company" : "Chef Robotics", "industry" : "Autonomy", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T15:51:07.505", "fingerprint" : "a5fc2c8f2eaf8f7150cb880ff9a6fc57ffa24e7e4a5e249ff5b5b3db2163f0a9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/ChefRobotics/a4c25a10-b811-4002-b0c9-4319bdee14a3/apply", "externalId" : "a4c25a10-b811-4002-b0c9-4319bdee14a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "VLAs, World models, JEPA, Diffusion models, Transformers, PyTorch", "professionalSkills" : [ "System design", "Research engineering" ], "hardSkillsList" : [ "Policy learning", "Generative modeling", "Robot learning", "Model training", "Fine-tuning", "Alignment pipelines", "Evaluation frameworks", "Data infrastructure", "Model serving", "Large-scale distributed training", "Synthetic data generation", "Domain randomization", "Performance profiling" ], "hardSkills" : [ { "name" : "Policy learning", "level" : "intermediate" }, { "name" : "Generative modeling", "level" : "intermediate" }, { "name" : "Robot learning", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Alignment pipelines", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Large-scale distributed training", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" }, { "name" : "Domain randomization", "level" : "intermediate" }, { "name" : "Performance profiling", "level" : "intermediate" } ], "majorSkills" : "Foundation Models, Robot learning, MLOps", "majorSkillsList" : [ "Foundation Models", "Robot learning", "MLOps" ], "coreResponsibilities" : "Define architecture for Food Foundation Model, Define training objectives for Food Foundation Model, Define learning approach for Food Foundation Model, Investigate foundation model architectures, Evaluate foundation model architectures, Assess applicability of models, Design pre-training pipelines, Design fine-tuning pipelines, Design alignment pipelines, Develop evaluation frameworks, Measure real-world generalization, Measure long-horizon reliability, Collaborate on training data requirements, Collaborate on augmentation strategies, Collaborate on model serving constraints, Stay current with research frontier, Read recent work, Critically evaluate recent work, Form views on relevance", "teamCollaboration" : "Data teams; Platform teams", "domainKnowledge" : "Deformable food manipulation; Robot manipulation; Policy learning; Generative modeling; World models; Food robotics; Physical AI", "domainList" : [ "deformable-food-manipulation", "robot-manipulation", "policy-learning", "generative-modeling", "world-models", "food-robotics", "physical-ai" ], "domainSpecificKnowledge" : [ "Deformable food manipulation", "Robot manipulation", "Policy learning", "Generative modeling", "World models", "Food robotics", "Physical AI" ], "toolProficiency" : [ "MuJoCo", "Isaac Sim", "Genesis", "ONNX", "TensorRT" ], "outcomesObjectives" : "Serve millions of meals", "qualificationsBasic" : "MS or PhD in Machine Learning, Robotics, Computer Science, or related field, 5+ years experience implementing and deploying ML models for robotics, Hands-on experience with large-scale model training, Solid software engineering fundamentals", "qualificationsPreferred" : "Experience with world models or generative models, Familiarity with simulation environments, Experience deploying models to edge hardware, Prior work with contact-rich manipulation, Publications at top venues", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles can't be offshored, making robotics essential to keeping production onshore and strengthening America's manufacturing base. Our AI-powered robots automate food prep and assembly in commercial kitchens and food manufacturing, and have already produced over 110 million meals in production — generating the world's largest proprietary dataset for deformable food manipulation. Backed by investors including Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen. About the Role The next leap in food robotics won't come from hand-tuned policies for individual ingredients — it will come from foundation models that generalize across thousands of food types, kitchen configurations, and manipulation scenarios out of the box. At Chef, we're building that model: the Food Foundation Model. As a Senior ML Engineer, Foundation Models, you will work at the frontier of large-scale robot learning: training and fine-tuning the Food Foundation Model, building the data infrastructure that feeds it, and deploying it onto physical robots in production kitchens. You'll bridge research and engineering — translating advances from the latest policy learning, generative modeling, and world model literature into systems that handle real food, with real end effectors, at real throughput. Your models won't just benchmark well; they'll serve millions of meals. We are a small, high-ownership team. We work onsite five days a week and move with startup urgency. ## In this role, you will Define the architecture, training objectives, and learning approach for the Food Foundation Model — evaluating tradeoffs across generalization, sample efficiency, and deployment constraints Investigate and evaluate the latest foundation model architectures — including VLAs, world models, JEPA-style joint embedding models, diffusion policies, and emerging approaches — and assess their applicability to Chef's manipulation and generalization challenges Design pre-training, fine-tuning, and alignment pipelines that improve the model's ability to generalize across new food types, kitchen configurations, and end effector types with minimal retraining Develop evaluation frameworks that measure real-world generalization and long-horizon reliability — not just offline benchmark accuracy Collaborate with the data and platform teams on training data requirements, augmentation strategies, and model serving constraints Stay current with the research frontier — reading and critically evaluating recent work from CoRL, RSS, NeurIPS, ICML, and ICLR and forming clear views on what's relevant to production manipulation ## What You Bring MS or PhD in Machine Learning, Robotics, Computer Science, or a related field — or equivalent industry experience 5+ years of experience implementing and deploying ML models for real-world robotics applications Hands-on experience with large-scale model training: pre-training, fine-tuning, and post-training alignment pipelines Familiarity with modern policy and generative model architectures — diffusion models, transformers, behavior cloning, or large-scale multimodal models Strong PyTorch skills and experience building reliable, production-quality training and evaluation infrastructure Solid software engineering fundamentals in Python; able to write maintainable code across research and production codebases Track record of taking models from research prototype to deployed system on physical hardware ## Nice-to-have Experience with world models or generative models for robot planning and prediction Background in large-scale distributed training (multi-node GPU clusters, FSDP, DeepSpeed) Familiarity with simulation environments (MuJoCo, Isaac Sim, Genesis) for synthetic data generation and domain randomization Experience deploying models to edge hardware (ONNX, TensorRT, quantization, performance profiling) Prior work with contact-rich manipulation, deformable object handling, or food robotics Publications at top venues: CoRL, RSS, ICRA, NeurIPS, ICML, ICLR ## Additional Information Chef Robotics is solving one of the hardest problems in AI and robotics — and we ship. Our robots are in production today, generating real data that trains the next generation of food AI. Backed by Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, we're scaling fast with multiple multi-year enterprise contracts. If you want to build physical AI with real-world deployments and real impact, Chef is the place. ", "summaryDescription" : "Senior ML Engineer, Foundation Models at Chef Robotics. Skills: Foundation Models, Robot learning, MLOps. Define architecture for Food Foundation Model. Define training objectives for Food Foundation Model", "postedDate" : "2026-06-15T22:02:50.437", "createdAt" : "2026-06-15T22:02:50.437", "lastUpdated" : "2026-06-16T15:51:07.505", "ingestTimestamp" : "2026-06-16T03:27:03.930", "mongoId" : "6a307f0ef292fd229c054cea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Policy learning", "Generative modeling", "Robot learning", "Model training", "Fine-tuning", "Alignment pipelines", "Evaluation frameworks", "Data infrastructure", "Model serving", "Large-scale distributed training", "Synthetic data generation", "Domain randomization", "Performance profiling", "Foundation Models", "MLOps", "System design", "Research engineering", "Deformable food manipulation", "Robot manipulation", "World models", "Food robotics", "Physical AI", "MuJoCo", "Isaac Sim", "Genesis", "ONNX", "TensorRT" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3056c0f292fd229cf2dfe3", "title" : "Integration Test Engineer", "company" : "ID Quantique", "salary" : { "min" : 115000.0, "max" : 145000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Integration Test Engineer in Geneva, Switzerland, adjusted for the technology industry and company size." }, "location" : "Genève, Geneva, Switzerland", "locations" : [ "Genève", "Geneva", "Switzerland" ], "timestamp" : "2026-06-16T08:32:45.455", "fingerprint" : "3e48cead2f2e1c80ffc79fb3dc9a18ceb5d1bae298eaf6282a190970bb010659", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/idquantique/jobs/4888276101", "externalId" : "4888276101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Genève", "state" : "Geneva", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.2017559,6.1466014" } ], "locationText" : "Genève, Geneva, Switzerland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "ID Quantique (IDQ) as part of IONQ, is a global leader in quantum-safe communications and quantum detection systems. We provide solutions to protect governments, telecommunication infrastructures, and banking & financial institutions from the “harvest-now, decrypt-later” threat, delivering both terrestrial and space-based quantum-safe networks in live operation globally. Our Quantum Detection Systems push the limits of single-photon detection, powering breakthroughs in quantum communication, sensing, computing, and ultra-sensitive imaging in partnership with top researchers and tech innovators worldwide. What to expect At IDQ, we change the world, one photon at a time. We harness light to develop and industrialize the most advanced quantum products and technologies and help to build long-term trust. We offer a wide range of cutting-edge quantum technologies, such as superconducting nanowire single-photon detectors, quantum key distribution systems and quantum random number generators. At IDQ, we have an unwavering commitment to quality and integrity with strong corporate governance based on the following values: transparency, respect, long-term trust, accountability, and courage. As we continue to grow and advance our technological capabilities, we are seeking a talented Hardware Quality Engineer to join our R&D department based in Geneva. As part of our Test and Releasing team, you will be responsible for ensuring the reliability and usability of our advanced quantum sensors, detectors, cryostats, and electronic boards, which are integrated into larger quantum networking systems. This role requires deep technical expertise in electronics and timing-based systems, combined with a rigorous approach to testing. What you'll be doing Develop and execute stress tests, functional tests, and usability tests for hardware and embedded systems. Perform unit testing and validation of electronic boards, FPGA logic, and computer (COM Express, PLC) modules. Test and validate quantum sensors, detectors, and cryogenic systems for performance and reliability. Collaborate with engineering teams to identify design issues and propose improvements from a usability perspective. Create and maintain test documentation, including test plans, procedures, and reports. Contribute to continuous improvement of QA processes for hardware and low-level software. Support integration testing for products designed to be embedded in larger systems. Support releasing process by handling customer deliverables and contributing to customer facing documentation writing or validation What you'll bring Bachelor’s or master’s degree in electrical engineering, Electronics, or related field. 5+ years in hardware testing, embedded systems QA, or electronics validation. Demonstrated expertise in electronic boards, low-level software testing, and FPGA-based systems. Knowledge of electronics, FPGA development, and embedded systems (PLC). Proficiency in test instrumentation (oscilloscopes, signal generators, etc.). Ability to write scripts for automation (Python, Bashs). Experience with release management and related documentation handling Analytical mindset and attention to detail. Excellent analytical, troubleshooting and problem-solving skills. Proficient communication and organizational skills. Proficiency in English (C1 level) both written and verbal. You'll be a great fit with 5+ years in hardware testing, embedded systems QA, or electronics validation. Strong knowledge of electronics, FPGA development, and embedded systems (PLC). Familiarity with cryogenic systems and precision sensors. Proficiency in French (C1 level) both written and verbal What We Offer · A role at one of the fastest growing and most exciting Quantum companies in the world. · A competitive compensation scheme, benefits package and equity plan. All designed to reward excellence. · Flexible work models that let you balance your life, your family, and your career. · Ongoing training and development to keep your skills sharp and your growth on track. · A career development plan within the IonQ group’s companies · A dynamic, close-knit environment where you collaborate with a global team of experts. · A performance-driven culture built on trust, teamwork, and shared ambition. ID Quantique/ IonQ is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other status protected by law.", "summaryDescription" : "Integration Test Engineer at ID Quantique", "postedDate" : "2026-06-15T23:19:34.839", "createdAt" : "2026-06-15T23:19:34.839", "lastUpdated" : "2026-06-16T08:32:45.455", "ingestTimestamp" : "2026-06-15T23:19:34.839", "mongoId" : "6a3056c0f292fd229cf2dfe3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8070f0b99d5843f7fb", "title" : "ML Data Associate II - (S), AGI Data Services - Operations", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Corporate Operations, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1.3E7, "max" : 1.8E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior ML Data Associate II in Heredia, Costa Rica, adjusted for the technology industry and Amazon's company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-14T22:26:04.448", "fingerprint" : "9e6dfb38b99d85afe101da8e70eb900403b6cea225ec38aa132bfcfffe60dd83", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139088/apply", "externalId" : "f837f08d-38e5-473e-99de-c879118f155a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Data labeling", "Dialogue evaluation" ], "softSkillsList" : [ "Concentration", "Multi-tasking", "Individuality", "Creativity" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Dialogue evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Concentration" }, { "name" : "Multi-tasking" }, { "name" : "Individuality" }, { "name" : "Creativity" } ], "majorSkills" : "Generative AI, LLM development", "majorSkillsList" : [ "Generative AI", "LLM development" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different data types, Deliver high-quality labelled data, Generate high quality human insight data, Make sound judgments, Make logical decisions, Pivot from one category to another, Support daily operational deliverables, Analyze root causes, Identify error patterns, Propose solutions to enhance quality, Identify process and operational issues, Suggest changes to unblock operations, Clarify internal queries", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "toolProficiency" : [ "In-house tools", "Business applications" ], "communicationSkills" : "Business writing; Professional correspondence", "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Structured problem-solving; Root cause analysis", "outcomesObjectives" : "Meet our KPIs", "qualificationsBasic" : "Associate’s Degree or related work experience, C1+ or equivalent fluency in English and Spanish, business writing skills, Advanced reading comprehension, Developed analytical thinking, structured problem-solving capabilities, ability to interpret and implement detailed instructions, Proficient research skills, Proven attention to detail", "qualificationsPreferred" : "Bachelor’s degree in a relevant field, 2+ years of professional work experience, demonstrated task execution ability, Proven capacity to leverage open-source resources, Ability to adapt well to fast-paced environments, 2-3 years project coordination or management experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications: - An Associate’s Degree or related work experience. - C1+ or equivalent fluency in English and Spanish. - Strong business writing skills with ability to create reports, proposals, and professional correspondence. - Advanced reading comprehension with ability to analyze complex business documents. - Developed analytical thinking and structured problem-solving capabilities. - Strong ability to interpret and implement detailed instructions across various projects. - Proficient research skills with experience gathering and synthesizing information from multiple sources. - Proven attention to detail in managing complex tasks and documents. Preferred Qualifications: - Bachelor’s degree in a relevant field - 2+ years of professional work experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - 2-3 years project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications Our inclusive culture empowers Amazonians to deliver the best results for our customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "ML Data Associate II - (S), AGI Data Services - Operations at Amazon Support Services Costa Rica SRL. Skills: Generative AI, LLM development. Maintain strict confidentiality. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of BIM Model Coordinator , we'll count on you to: Assisting with the management of the digital model environment and deliverables for an entire project Have an understanding of how all disciplines interact and how construction documents are produced Work directly with more advanced Digital Delivery Leads to execute the digital deliverables outlined in the Digital Delivery Plan (DDP) Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute the digital deliverables and support the production team throughout the project duration Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Assist with the development and maintenance of the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Strong knowledge of Autodesk Forma (formerly ACC) Experience with clash detection software and procedures Experience with BIM automation tools and procedures Experience with Microsoft and Google products Experience with Newforma, ProjectWise, Procore, and similar software Excellent communication skills Strong organization and time management skills A collaborative, team-minded character #LI-EV1", "summaryDescription" : "BIM Model Coordinator at HDR. Skills: BIM coordination, Digital delivery, Model management", "createdAt" : "2026-06-15T23:08:58.231", "lastUpdated" : "2026-06-16T11:06:24.239", "ingestTimestamp" : "2026-06-15T23:08:58.231", "mongoId" : "6a3057eaf292fd229cf3ed62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Model coordination", "Server infrastructure", "Document management", "BIM coordination", "Digital delivery", "Model management", "Quality control", "Digital Delivery Plan", "Building engineering", "Autodesk Forma", "Newforma", "ProjectWise", "Procore" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e1ce260f92cbf8e936", "title" : "Sr. Architecture Modeling Engineer", "company" : "Annapurna Labs (U. S. ) Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T07:12:25.453", "fingerprint" : "d3126ce3a2ebedfc19a06717ffccef87f5a458ba950fc782f41d327c83bc1b68", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101262/apply", "externalId" : "39f3ccdb-249c-4327-a30f-b6a4230e7d27", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C++, Java, System modeling, Hardware modeling, Software modeling, ML workloads, AWS", "professionalSkills" : [ "Architecture design", "System architecture", "Hardware/software co-design", "Performance optimization", "Quality improvement" ], "hardSkillsList" : [ "Software development", "Programming", "System design", "Architecture design", "Hardware modeling", "Software modeling", "ML workload mapping" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "Hardware modeling", "level" : "intermediate" }, { "name" : "Software modeling", "level" : "intermediate" }, { "name" : "ML workload mapping", "level" : "intermediate" } ], "majorSkills" : "Architecture Modeling, Hardware/Software Co-design, ML Workload Optimization", "majorSkillsList" : [ "Architecture Modeling", "Hardware/Software Co-design", "ML Workload Optimization" ], "coreResponsibilities" : "Map machine learning workloads, Model future architectural decisions, Optimize future Trainium devices, Co-design software and hardware, Develop software for accelerators, Develop custom hardware, Accelerate ML workloads", "teamCollaboration" : "Work with architecture teams; Work with design teams; Work with thought-leaders", "domainKnowledge" : "Machine learning; System-on-chips; Deep learning; ML accelerators; Trainium devices", "domainList" : [ "machine-learning", "system-on-chips", "deep-learning", "ml-accelerators", "trainium-devices" ], "domainSpecificKnowledge" : [ "Machine learning", "System-on-chips", "Deep learning", "ML accelerators", "Trainium devices" ], "continuousLearning" : "Onboarding ML knowledge", "innovationCreativity" : "Drive architectural decisions; Reach beyond possible", "problemSolvingSkills" : "Optimize performance; Improve quality; Improve cost", "qualificationsBasic" : "5+ years software development, 5+ years programming, 5+ years system design, 5+ years full software development lifecycle", "qualificationsPreferred" : "ML background helpful", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Custom Amazon designed silicon chips live at the heart of AWS Machine Learning servers, enabling faster, more capable, and more accurate machine learning for our customers. We’re looking for skilled software engineers to scale the team that co-design the software and hardware of these bleeding-edge system-on-chips (SoCs). Your software will map how to optimize customer workloads to current hardware, and inform the architectural decisions of future hardware generations. You'll also work closely with our architecture and design teams to drive hardware/software co-design, developing both software and custom hardware to accelerate ML workloads on Trainium. Our team's charter is to make deep learning pervasive for everyday software developers and to democratize access to industry leading infrastructure - you'll be enabling that vision from the ground up. We invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs! https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry. You'll learn about the inner workings of ML and our accelerators as part of your onboarding, so no prior ML knowledge is required for this role, but any ML background you have will be helpful. Key job responsibilities The architecture modeling engineer will work on mapping machine learning workloads to Trainium devices, and modeling various future architectural decisions to optimize future generations of Trainium devices About the team About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Architecture Modeling Engineer at Annapurna Labs (U. S. ) Inc.. Skills: Architecture Modeling, Hardware/Software Co-design, ML Workload Optimization. Map machine learning workloads. Model future architectural decisions", "postedDate" : "2026-06-13T20:40:27.510", "createdAt" : "2026-06-13T20:40:27.510", "lastUpdated" : "2026-06-15T07:12:25.453", "ingestTimestamp" : "2026-06-13T20:40:27.510", "mongoId" : "68e0a7e1ce260f92cbf8e936", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101262/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "Programming", "System design", "Architecture design", "Hardware modeling", "Software modeling", "ML workload mapping", "Architecture Modeling", "Hardware/Software Co-design", "ML Workload Optimization", "System architecture", "Hardware/software co-design", "Performance optimization", "Quality improvement", "Machine learning", "System-on-chips", "Deep learning", "ML accelerators", "Trainium devices" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677a72", "title" : "Senior S/W Test Automation Engineer", "industry" : "Technology", "salary" : { "min" : 1750000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior S/W Test Automation Engineer in Bangalore, India, adjusted for seniority and industry." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-15T08:26:19.244", "fingerprint" : "35f82591f1fe584a8e864167af242e1539f71c7072f41d336a67f4b9919a14f8", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=887075", "externalId" : "887075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's degree", "experienceMinYears" : 6, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "UI Software, Automation testing, Selenium WebDriver, Core Java, REST APIs, JIRA/XRay, CI/CD pipeline, Agile Software Development, SCRUM/KANBAN, API testing, Rest Assured, Postman, Newman, REST APIs, JSON, Java, C#, TestNG, JUnit, Maven, Gradle, Git, Jenkins, Azure DevOps, GitHub Actions, Docker, SQL", "professionalSkills" : [ "Framework Development", "Test Scenario Creation", "Test Case Creation", "Traceability matrix", "Bug Tracking", "Regression Testing", "API Automation", "Requirement Analysis", "Test Strategies", "Test Estimates", "Test Plan", "Test design techniques", "Automation best practices" ], "hardSkillsList" : [ "Manual Testing", "Automation Framework Development", "Test Automation", "Test Scenario Creation", "Test Case Creation", "Test Case Execution", "Traceability matrix", "Regression Testing", "Test Closure", "Automating REST APIs", "Requirement Analysis", "Estimations", "Proposing Test Strategies", "Reviewing requirements", "Preparing test Estimates", "API testing", "API Automation", "Request/response validation", "Programming skills", "Test frameworks", "Build tools", "Version control", "Integrating automation", "CI/CD pipelines", "Basic SQL knowledge", "Joins, validations" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Work independently", "Lead automation initiatives" ], "hardSkills" : [ { "name" : "Manual Testing", "level" : "intermediate" }, { "name" : "Automation Framework Development", "level" : "intermediate" }, { "name" : "Test Automation", "level" : "intermediate" }, { "name" : "Test Scenario Creation", "level" : "intermediate" }, { "name" : "Test Case Creation", "level" : "intermediate" }, { "name" : "Test Case Execution", "level" : "intermediate" }, { "name" : "Traceability matrix", "level" : "intermediate" }, { "name" : "Regression Testing", "level" : "intermediate" }, { "name" : "Test Closure", "level" : "intermediate" }, { "name" : "Automating REST APIs", "level" : "intermediate" }, { "name" : "Requirement Analysis", "level" : "intermediate" }, { "name" : "Estimations", "level" : "intermediate" }, { "name" : "Proposing Test Strategies", "level" : "intermediate" }, { "name" : "Reviewing requirements", "level" : "intermediate" }, { "name" : "Preparing test Estimates", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "API Automation", "level" : "intermediate" }, { "name" : "Request/response validation", "level" : "intermediate" }, { "name" : "Programming skills", "level" : "intermediate" }, { "name" : "Test frameworks", "level" : "intermediate" }, { "name" : "Build tools", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Integrating automation", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Basic SQL knowledge", "level" : "intermediate" }, { "name" : "Joins, validations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Work independently" }, { "name" : "Lead automation initiatives" } ], "majorSkills" : "Test Automation, Selenium WebDriver, REST APIs, CI/CD", "majorSkillsList" : [ "Test Automation", "Selenium WebDriver", "REST APIs", "CI/CD" ], "coreResponsibilities" : "Develop UI Software Manual and Automation testing, Develop Automation Frameworks, Develop test Automation, Create Test Scenarios, Create Test Cases, Execute Test Cases, Create Traceability matrix, Log & Track bugs, Perform Regression Testing, Manage Test Closure, Automate REST APIs, Design Test Cases in JIRA/XRay, Develop Test Cases in JIRA/XRay, Execute Test Cases in JIRA/XRay, Integrate automation into CI/CD pipelines, Analyze Requirements, Provide estimations, Propose Test Strategies, Review requirements with Business Users, Prepare test Estimates with test Plan", "teamCollaboration" : "Agile Software Development process; 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Net, Programming skills in C#, Basic knowledge of Docker, BDD tools (Cucumber), Performance testing exposure (JMeter)", "remoteFriendly" : false, "rawDescription" : "Job Title: Senior Test Automation Engineer Company: Mercedes-Benz Research and Development India Private Limited Department: Information Technology Position Code: T8 Job Area: Testing Position Location: Bangalore Education: Bachelor’s degree in Computer Science, Engineering, or related field. Experience: 6 to 8 years Job Description and Key Responsibilities: 1. 6-8 years of experience in UI Software Manual and Automation testing. 2. Hands-on experience in Manual Testing, Automation Framework Development, test Automation, Test Scenario Creation, Test Case Creation, Test Case Execution, Traceability matrix, Logging & Tracking bugs, Regression Testing & Test Closure. 3. Strong experience in Selenium WebDriver automation. 4. Strong expertise in Core Java . 5. Experience in building or enhancing automation frameworks. 6. Should have experience on Automating REST APIs. 7. Design, Development and Execution of Test Cases in JIRA/XRay . 8. Experience in Cl/CD pipeline. 9. Experience is Agile Software Development process (SCRUM/KANBAN) 10. The candidate should have good experience in Requirement Analysis and estimations. 11. Experience in proposing Test Strategies, Reviewing requirements with Business Users and preparing test Estimates with test Plan. Required Skills Automation & Testing Strong experience in Selenium WebDriver automation. Experience with Ranorex automation tool (C# or VB.Net) (good to have) Experience in building or enhancing automation frameworks. Strong understanding of test design techniques and automation best practices. Experience in API testing and automation . API Automation Hands-on experience with: Rest Assured (preferred) Postman / Newman Understanding of REST APIs, JSON, request/response validation. Programming & Tools Strong programming skills in Java (preferred) or C#. Test frameworks: TestNG / JUnit. Build tools: Maven / Gradle. Version control: Git. CI/CD & DevOps Experience integrating automation into CI/CD pipelines (Jenkins / Azure DevOps / GitHub Actions). Basic knowledge of Docker (good to have). Database Basic SQL knowledge (joins, validations). Good to Have Experience with BDD tools (Cucumber). Performance testing exposure (JMeter). Soft Skills Strong analytical and problem-solving skills. Ability to work independently and lead automation initiatives. Good communication and collaboration skills. Job Title: Senior Test Automation Engineer Company: Mercedes-Benz Research and Development India Private Limited Department: Information Technology Position Code: T8 Job Area: Testing Position Location: Bangalore Education: Bachelor’s degree in Computer Science, Engineering, or related field. Experience: 6 to 8 years Job Description and Key Responsibilities: 1. 6-8 years of experience in UI Software Manual and Automation testing. 2. Hands-on experience in Manual Testing, Automation Framework Development, test Automation, Test Scenario Creation, Test Case Creation, Test Case Execution, Traceability matrix, Logging & Tracking bugs, Regression Testing & Test Closure. 3. Strong experience in Selenium WebDriver automation. 4. Strong expertise in Core Java . 5. Experience in building or enhancing automation frameworks. 6. Should have experience on Automating REST APIs. 7. Design, Development and Execution of Test Cases in JIRA/XRay . 8. Experience in Cl/CD pipeline. 9. Experience is Agile Software Development process (SCRUM/KANBAN) 10. The candidate should have good experience in Requirement Analysis and estimations. 11. Experience in proposing Test Strategies, Reviewing requirements with Business Users and preparing test Estimates with test Plan. Required Skills Automation & Testing Strong experience in Selenium WebDriver automation. Experience with Ranorex automation tool (C# or VB.Net) (good to have) Experience in building or enhancing automation frameworks. Strong understanding of test design techniques and automation best practices. Experience in API testing and automation . API Automation Hands-on experience with: Rest Assured (preferred) Postman / Newman Understanding of REST APIs, JSON, request/response validation. Programming & Tools Strong programming skills in Java (preferred) or C#. Test frameworks: TestNG / JUnit. Build tools: Maven / Gradle. Version control: Git. CI/CD & DevOps Experience integrating automation into CI/CD pipelines (Jenkins / Azure DevOps / GitHub Actions). Basic knowledge of Docker (good to have). Database Basic SQL knowledge (joins, validations). Good to Have Experience with BDD tools (Cucumber). Performance testing exposure (JMeter). Soft Skills Strong analytical and problem-solving skills. Ability to work independently and lead automation initiatives. Good communication and collaboration skills. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Senior S/W Test Automation Engineer. Skills: Test Automation, Selenium WebDriver, REST APIs, CI/CD. Develop UI Software Manual and Automation testing. Develop Automation Frameworks", "createdAt" : "2026-06-14T01:56:47.908", "lastUpdated" : "2026-06-15T08:26:19.244", "ingestTimestamp" : "2026-06-14T01:56:47.908", "mongoId" : "69ce5e3b9bc74574cb677a72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Manual Testing", "Automation Framework Development", "Test Automation", "Test Scenario Creation", "Test Case Creation", "Test Case Execution", "Traceability matrix", "Regression Testing", "Test Closure", "Automating REST APIs", "Requirement Analysis", "Estimations", "Proposing Test Strategies", "Reviewing requirements", "Preparing test Estimates", "API testing", "API Automation", "Request/response validation", "Programming skills", "Test frameworks", "Build tools", "Version control", "Integrating automation", "CI/CD pipelines", "Basic SQL knowledge", "Joins, validations", "Analytical", "Problem-solving", "Work independently", "Lead automation initiatives", 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baseline for a Manager in Technology in New Taipei City, Taiwan, adjusted for seniority and industry." }, "location" : "[New Taipei, Banqiao District, New Taipei City, Taiwan, [Banqiao District, New Taipei City, Taiwan 220], null, 220, New Taipei City, TW]", "locations" : [ "[New Taipei, Banqiao District, New Taipei City, Taiwan, [Banqiao District, New Taipei City, Taiwan 220], null, 220, New Taipei City, TW]" ], "timestamp" : "2026-06-16T13:17:03.604", "fingerprint" : "b2fc1aee9f569946da9ec0ae6ce47147bab62208623e99beaade6f04491b29d5", "source" : "google", "language" : "en", "externalId" : "95961659780014790", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New Taipei City", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0834547,121.4755340" } ], "locationText" : "New Taipei City, Taiwan", "experienceLevel" : "Manager", "summaryDescription" : "Test Engineering Manager, Android and Pixel System Test", "postedDate" : "2026-06-16T01:49:58.339", "createdAt" : "2026-06-16T01:49:58.339", "lastUpdated" : "2026-06-16T13:17:03.604", "ingestTimestamp" : "2026-06-16T01:49:58.339", "mongoId" : "6a307f46f292fd229c05781c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e43bf8b1b0376634c909", "title" : "Software Development Engineer, AI/ML, AWS Neuron, Model Inference", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T09:28:41.112", "fingerprint" : "440ced4a9e10151b336c672107a7fb9b1801971caa20c9b63352319af46bdec3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071377/apply", "externalId" : "6a49554c-51c2-412d-8821-1d0ef2a08df5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, C++, Machine Learning, Deep Learning, GenAI, PyTorch, JAX, AWS, ML accelerators, Distributed computing, High-performance computing", "professionalSkills" : [ "System design", "Performance profiling", "Architecture design" ], "hardSkillsList" : [ "Model inference", "Performance tuning", "Kernel development", "Low-level optimization" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Model inference", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Kernel development", "level" : "intermediate" }, { "name" : "Low-level optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AI/ML, Model Inference, AWS Neuron, Performance Optimization", "majorSkillsList" : [ "AI/ML", "Model Inference", "AWS Neuron", "Performance Optimization" ], "coreResponsibilities" : "Architect business critical features, Implement business critical features, Mentor experienced engineers, Lead efforts in building distributed inference support, Tune models for performance, Maximize efficiency on silicon, Design machine learning models, Develop machine learning models, Optimize machine learning models, Deploy models on accelerators, Participate in ML system development, Design distributed computing architecture, Implement distributed computing architecture, Profile ML system performance, Optimize ML system hardware, Test ML system deployment, Deploy ML systems to production, Build infrastructure to analyze models, Onboard multiple models, Design high-performance kernels, Implement high-performance kernels, Develop features for ML", "teamCollaboration" : "Compiler engineers; Runtime engineers; Framework teams; Hardware teams; Cross-functional teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Machine learning accelerators; Deep learning; GenAI; ML inference; ML training; Distributed architectures; High-performance computing; ML compiler; ML runtime; ML frameworks; Large language models", "domainList" : [ "machine-learning-accelerators", "deep-learning", "genai", "ml-inference", "ml-training", "distributed-architectures", "high-performance-computing", "ml-compiler", "ml-runtime", "ml-frameworks", "large-language-models" ], "domainSpecificKnowledge" : [ "Machine learning accelerators", "Deep learning", "GenAI", "ML inference", "ML training", "Distributed architectures", "High-performance computing", "ML compiler", "ML runtime", "ML frameworks", "Large language models" ], "toolProficiency" : [ "AWS Neuron SDK" ], "continuousLearning" : "Unique learning culture", "innovationCreativity" : "Inventing; Experimenting; Innovate new methods", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Ensure optimal performance; Maximize performance; Achieve optimal performance", "qualificationsBasic" : "5+ years Python, System level programming, ML knowledge, Experience optimizing inference performance, Experience with PyTorch or JAX, Experience with LLM model families, Experience with Llama family, Experience with DeepSeek", "qualificationsPreferred" : "Experience with AWS Neuron SDK, Experience with Inferentia, Experience with Trainium", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html https://aws.amazon.com/machine-learning/neuron/ https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you’re always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder’s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. Basic Qualifications: - Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. Preferred Qualifications: - Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, AI/ML, AWS Neuron, Model Inference at Amazon.com Services LLC. Skills: AI/ML, Model Inference, AWS Neuron, Performance Optimization. Architect business critical features. Implement business critical features", "postedDate" : "2026-06-14T06:38:57.745", "createdAt" : "2026-06-14T06:38:57.745", "lastUpdated" : "2026-06-15T09:28:41.112", "ingestTimestamp" : "2026-06-14T06:38:57.745", "mongoId" : "68c2e43bf8b1b0376634c909", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071377/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Model inference", "Performance tuning", "Kernel development", "Low-level optimization", "Mentoring", "AI/ML", "Model Inference", "AWS Neuron", "Performance Optimization", "System design", "Performance profiling", "Architecture design", "Agile", "Machine learning accelerators", "Deep learning", "GenAI", "ML inference", "ML training", "Distributed architectures", "High-performance computing", "ML compiler", "ML runtime", "ML frameworks", "Large language models", "AWS Neuron SDK" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677a7a", "title" : "Full stack with java microservices", "industry" : "Manufacturing", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Full Stack Java Microservices Developer in Bangalore, India, adjusted for industry and seniority." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-16T01:28:33.922", "fingerprint" : "eec8b9802000920083121ac692dbcb90ca8635b164dfc56c9a625ac3bd3166ab", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=875403", "externalId" : "875403", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Spring Boot, Microservice Architecture, GraphQL, Graph Databases, RESTful APIs, OSLC, JSON, RDF/XML, Turtle, Linked Data, Kafka, RabbitMQ, OAuth2, SSO, JWT, Git, Docker, Kubernetes, AWS, Azure, GCP, ELK stack, Prometheus, Grafana", "professionalSkills" : [ "System design", "API architecture", "Data modeling", "Schema evolution", "Data mapping", "Code quality", "Performance optimization", "Scalability improvements", "Architectural reviews", "DevOps automation" ], "hardSkillsList" : [ "Backend Development", "GraphQL schema design", "API development", "Resolver performance", "Graph database modeling", "API design standards", "Protocol translation", "Data serialization", "OSLC specifications", "Resource Shapes", "LD-Context", "Middleware development", "Data federation", "Data synchronization", "Data integrity", "Traceability", "Semantic alignment", "Authentication mechanisms", "Authorization mechanisms", "CI/CD pipelines", "Containerized deployments", "Monitoring tools", "Logging tools" ], "hardSkills" : [ { "name" : "Backend Development", "level" : "intermediate" }, { "name" : "GraphQL schema design", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Resolver performance", "level" : "intermediate" }, { "name" : "Graph database modeling", "level" : "intermediate" }, { "name" : "API design standards", "level" : "intermediate" }, { "name" : "Protocol translation", "level" : "intermediate" }, { "name" : "Data serialization", "level" : "intermediate" }, { "name" : "OSLC specifications", "level" : "intermediate" }, { "name" : "Resource Shapes", "level" : "intermediate" }, { "name" : "LD-Context", "level" : "intermediate" }, { "name" : "Middleware development", "level" : "intermediate" }, { "name" : "Data federation", "level" : "intermediate" }, { "name" : "Data synchronization", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "Semantic alignment", "level" : "intermediate" }, { "name" : "Authentication mechanisms", "level" : "intermediate" }, { "name" : "Authorization mechanisms", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Containerized deployments", "level" : "intermediate" }, { "name" : "Monitoring tools", "level" : "intermediate" }, { "name" : "Logging tools", "level" : "intermediate" } ], "majorSkills" : "Java Spring Boot, GraphQL APIs, Graph Databases, Microservices, OSLC specifications", "majorSkillsList" : [ "Java Spring Boot", "GraphQL APIs", "Graph Databases", "Microservices", "OSLC specifications" ], "coreResponsibilities" : "Design and develop microservices, Build middleware translation layer, Enable interoperability, Implement GraphQL APIs, Serve linked data, Model relationships, Persist interconnected artifacts, Define data federation, Implement data synchronization, Ensure data integrity, Ensure traceability, Ensure semantic alignment, Define API contracts, Define schema evolution, Define data mapping strategies, Drive code quality, Drive performance optimization, Drive scalability improvements, Mentor developers, Contribute to architectural reviews, Contribute to DevOps automation", "teamCollaboration" : "Solution architects", "domainKnowledge" : "Integration patterns; Data translation; Linked data; Traceability; Semantic interoperability; Data linking; Lifecycle management tools; Data modeling; Semantic web concepts; Event-driven integration; V-model lifecycle", "domainList" : [ "integration-patterns", "data-translation", "linked-data", "traceability", "semantic-interoperability", "data-linking", "lifecycle-management-tools", "data-modeling", "semantic-web-concepts", "event-driven-integration", "v-model-lifecycle" ], "domainSpecificKnowledge" : [ "Integration patterns", "Data translation", "Linked data", "Traceability", "Semantic interoperability", "Data linking", "Lifecycle management tools", "Data modeling", "Semantic web concepts", "Event-driven integration", "V-model lifecycle" ], "toolProficiency" : [ "Neo4j", "Amazon Neptune", "Jira", "DOORS", "Teamcenter", "Polarion", "ALM", "Git", "Docker", "Kubernetes", "ELK stack", "Prometheus", "Grafana" ], "communicationSkills" : "Documentation skills", "documentationSkills" : "Documentation skills", "problemSolvingSkills" : "Analytical thinking; Problem-solving skills", "qualificationsBasic" : "Java 11+, Spring Boot, Microservice Architecture, GraphQL schema design, API development, Resolver performance optimization, Graph Databases, Neo4j, API design standards, Protocol translation, Data serialization, OSLC specifications, Resource Shapes, LD-Context, Linked Data principles, Middleware development, REST APIs, OSLC-compliant endpoints, Integration of lifecycle management tools, Data modeling, Semantic web concepts, Message queues, Event-driven integration, Kafka, RabbitMQ, Authentication mechanisms, Authorization mechanisms, OAuth2, SSO, JWT, Git, CI/CD pipelines, Containerized deployments, Docker, Kubernetes, Cloud infrastructure, AWS, Azure, GCP, Monitoring tools, Logging tools, ELK stack, Prometheus, Grafana", "qualificationsPreferred" : "Neo4j preferred", "remoteFriendly" : false, "rawDescription" : "Role Overview We are looking for a Senior Backend Developer with deep expertise in Java Spring Boot , GraphQL , and Graph Databases , and a solid understanding of integration patterns and data translation across specifications (REST ↔ OSLC). You will play a key role in architecting and developing the backend foundation that powers data linking, traceability, and semantic interoperability across systems. This is a high-impact role requiring strong system design skills, API architecture understanding, and the ability to translate complex data models into a cohesive linking platform. Key Responsibilities Design and develop scalable backend microservices using Java (Spring Boot) for the Central Linking Solution. Build and maintain a middleware translation layer to enable interoperability between RESTful APIs and OSLC-compliant interfaces . Implement and optimize GraphQL APIs to serve linked data to consuming applications. Model relationships and persist interconnected artifacts in a Graph Database (Neo4j / Amazon Neptune) . Define and implement data federation and synchronization mechanisms between heterogeneous engineering tools. Ensure data integrity , traceability , and semantic alignment across toolchains in the V-model lifecycle. Collaborate closely with solution architects to define API contracts, schema evolution, and data mapping strategies. Drive backend code quality, performance optimization, and scalability improvements. Mentor developers and contribute to architectural reviews and DevOps automation. Required Technical Skills Core Backend Development Strong experience with Java 11+ , Spring Boot , and Microservice Architecture . Expertise in GraphQL schema design, API development, and resolver performance optimization. Hands-on experience with Graph Databases (Neo4j preferred) for modeling interconnected entities. Deep understanding of API design standards , protocol translation , and data serialization (JSON, RDF/XML, Turtle) . Experience implementing OSLC specifications , including Resource Shapes , LD-Context , and Linked Data principles . Proficiency in developing middleware that can translate data between REST APIs and OSLC-compliant endpoints . Integration & Data Handling Experience with integration of lifecycle management tools (e.g., Jira, DOORS, Teamcenter, Polarion, ALM). Strong understanding of data modeling for linked artifacts and semantic web concepts . Exposure to message queues/event-driven integration (Kafka, RabbitMQ). Knowledge of authentication and authorization mechanisms (OAuth2, SSO, JWT). DevOps & Tooling Experience with Git , CI/CD pipelines , and containerized deployments (Docker/Kubernetes) . Familiarity with cloud infrastructure (AWS/Azure/GCP). Hands-on experience with monitoring and logging tools (ELK stack, Prometheus, Grafana). Soft Skills Strong analytical thinking and problem-solving skills. Ability to design with scalability, maintainability, and extensibility in mind. Excellent communication and documentation skills. Proactive mindset with a passion for data interoperability and standards-driven integration. Education Bachelor’s or Master’s degree in Computer Science , Information Technology , or a related field. Role Overview We are looking for a Senior Backend Developer with deep expertise in Java Spring Boot , GraphQL , and Graph Databases , and a solid understanding of integration patterns and data translation across specifications (REST ↔ OSLC). You will play a key role in architecting and developing the backend foundation that powers data linking, traceability, and semantic interoperability across systems. This is a high-impact role requiring strong system design skills, API architecture understanding, and the ability to translate complex data models into a cohesive linking platform. Key Responsibilities Design and develop scalable backend microservices using Java (Spring Boot) for the Central Linking Solution. Build and maintain a middleware translation layer to enable interoperability between RESTful APIs and OSLC-compliant interfaces . Implement and optimize GraphQL APIs to serve linked data to consuming applications. Model relationships and persist interconnected artifacts in a Graph Database (Neo4j / Amazon Neptune) . Define and implement data federation and synchronization mechanisms between heterogeneous engineering tools. Ensure data integrity , traceability , and semantic alignment across toolchains in the V-model lifecycle. Collaborate closely with solution architects to define API contracts, schema evolution, and data mapping strategies. Drive backend code quality, performance optimization, and scalability improvements. Mentor developers and contribute to architectural reviews and DevOps automation. Required Technical Skills Core Backend Development Strong experience with Java 11+ , Spring Boot , and Microservice Architecture . Expertise in GraphQL schema design, API development, and resolver performance optimization. Hands-on experience with Graph Databases (Neo4j preferred) for modeling interconnected entities. Deep understanding of API design standards , protocol translation , and data serialization (JSON, RDF/XML, Turtle) . Experience implementing OSLC specifications , including Resource Shapes , LD-Context , and Linked Data principles . Proficiency in developing middleware that can translate data between REST APIs and OSLC-compliant endpoints . Integration & Data Handling Experience with integration of lifecycle management tools (e.g., Jira, DOORS, Teamcenter, Polarion, ALM). Strong understanding of data modeling for linked artifacts and semantic web concepts . Exposure to message queues/event-driven integration (Kafka, RabbitMQ). Knowledge of authentication and authorization mechanisms (OAuth2, SSO, JWT). DevOps & Tooling Experience with Git , CI/CD pipelines , and containerized deployments (Docker/Kubernetes) . Familiarity with cloud infrastructure (AWS/Azure/GCP). Hands-on experience with monitoring and logging tools (ELK stack, Prometheus, Grafana). Soft Skills Strong analytical thinking and problem-solving skills. Ability to design with scalability, maintainability, and extensibility in mind. Excellent communication and documentation skills. Proactive mindset with a passion for data interoperability and standards-driven integration. Education Bachelor’s or Master’s degree in Computer Science , Information Technology , or a related field. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Full stack with java microservices. Skills: Java Spring Boot, GraphQL APIs, Graph Databases, Microservices, OSLC specifications. Design and develop microservices. Build middleware translation layer", "createdAt" : "2026-06-14T21:28:48.920", "lastUpdated" : "2026-06-16T01:28:33.922", "ingestTimestamp" : "2026-06-14T21:28:48.920", "mongoId" : "69ce5e3b9bc74574cb677a7a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend Development", "GraphQL schema design", "API development", "Resolver performance", "Graph database modeling", "API design standards", "Protocol translation", "Data serialization", "OSLC specifications", "Resource Shapes", "LD-Context", "Middleware development", "Data federation", "Data synchronization", "Data integrity", "Traceability", "Semantic alignment", "Authentication mechanisms", "Authorization mechanisms", "CI/CD pipelines", "Containerized deployments", "Monitoring tools", "Logging tools", "Java Spring Boot", "GraphQL APIs", "Graph Databases", "Microservices", "System design", "API architecture", "Data modeling", "Schema evolution", "Data mapping", "Code quality", "Performance optimization", "Scalability improvements", "Architectural reviews", "DevOps automation", "Integration patterns", "Data translation", "Linked data", "Semantic interoperability", "Data linking", "Lifecycle management tools", "Semantic web concepts", "Event-driven integration", "V-model lifecycle", "Neo4j", "Amazon Neptune", "Jira", "DOORS", "Teamcenter", "Polarion", "ALM", "Git", "Docker", "Kubernetes", "ELK stack", "Prometheus", "Grafana" ], "skillCount" : 59, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a9a5674d8ee00a069e832", "title" : "Full stack with java microservices", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Full Stack Java Microservices Developer in Bangalore, India, adjusted for the technology industry and onsite work mode." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-16T02:11:17.197", "fingerprint" : "765e311a9e7ae36d51e120c0e2317d28d0debead02ecebc2d7a69c9d172425c8", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=899337", "externalId" : "899337", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, Spring, Springboot, Microservices, RESTful architecture, Kubernetes, Junit, Sonar, Maven, Git, Bamboo, Angular, Grunt, Gulp, HTML 5, CSS 3", "majorSkills" : "Java Full stack, Microservices", "majorSkillsList" : [ "Java Full stack", "Microservices" ], "coreResponsibilities" : "Ensure quality of Software, Contribute in design, Contribute in coding, Contribute in integration, Contribute in analysis, Contribute in documentation, Timely delivery of development tasks, Timely delivery of modules", "teamCollaboration" : "Agile scrum ways of working", "projectManagementSkills" : [ "Agile scrum" ], "toolProficiency" : [ "Maven", "Git", "Bamboo", "Sonar", "Junit", "Angular", "Grunt", "Gulp" ], "documentationSkills" : "Documentation", "qualificationsBasic" : "3-5 years of experience in Java Full stack, Core Java Spring, Springboot, Microservices, RESTful architecture, Kubernetes, Junit, Sonar, Maven, Git, Bamboo, Agile scrum ways of working, Angular 1. x or Angular 2 and above, Grunt, Gulp, HTML 5, CSS 3", "qualificationsPreferred" : "Proficiency in German language", "remoteFriendly" : false, "rawDescription" : "Skills 3-5 years of experience in Java Full stack including microservices Mandatory – Core Java Spring, Springboot, Microservices, RESTful architecture, Kubernetes, Junit, Sonar Mandatory - Maven, Git, Bamboo Mandatory - Experience in Agile scrum ways of working Mandatory - Angular 1.x or Angular 2 and above, Grunt, Gulp, HTML 5, CSS 3 Good to have - Proficiency in German language Responsibilities To ensure quality of Software. Contribution in design, coding, integration, analysis and documentation in the assigned project Timely delivery of assigned development tasks/modules. Skills 3-5 years of experience in Java Full stack including microservices Mandatory – Core Java Spring, Springboot, Microservices, RESTful architecture, Kubernetes, Junit, Sonar Mandatory - Maven, Git, Bamboo Mandatory - Experience in Agile scrum ways of working Mandatory - Angular 1.x or Angular 2 and above, Grunt, Gulp, HTML 5, CSS 3 Good to have - Proficiency in German language Responsibilities To ensure quality of Software. Contribution in design, coding, integration, analysis and documentation in the assigned project Timely delivery of assigned development tasks/modules. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Full stack with java microservices. Skills: Java Full stack, Microservices. Ensure quality of Software. Contribute in design", "createdAt" : "2026-06-14T18:56:40.451", "lastUpdated" : "2026-06-16T02:11:17.197", "ingestTimestamp" : "2026-06-14T18:56:40.451", "mongoId" : "6a2a9a5674d8ee00a069e832", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Java Full stack", "Microservices", "Agile scrum", "Maven", "Git", "Bamboo", "Sonar", "Junit", "Angular", "Grunt", "Gulp" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176df74d8ee00a0c1b2fd", "title" : "Flight Monitor", "company" : "Amazon. com Services LLC", "industry" : "Fulfillment Operations Management, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 23.0, "max" : 40.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Richmond, Texas, USA", "locations" : [ "Richmond, Texas, USA" ], "timestamp" : "2026-06-15T06:38:43.479", "fingerprint" : "b1baed3c2e1d5de94ac1929d5e4db0e3f0f55e3106186797abd795a4a0129b99", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437686/apply", "externalId" : "c39169d0-fc24-482e-863f-179056f50bf4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Richmond", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.5821811,-95.7607832" } ], "locationText" : "Richmond, Texas, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Monitor flight operations, Ensure safety and efficiency, Respond to operational issues, Coordinate with ground crews, Communicate with flight deck, Track aircraft movements, Maintain operational logs, Adhere to regulations", "domainKnowledge" : "Aviation operations", "domainList" : [ "aviation-operations" ], "domainSpecificKnowledge" : [ "Aviation operations" ], "communicationSkills" : "Verbal communication", "documentationSkills" : "Log maintenance", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Shift work", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is seeking a highly skilled and vigilant Flight Monitor to join our dynamic team. This critical role is central to our commitment to delivering packages safely, efficiently, and reliably through our advanced drone fleet. The Flight Monitor will be responsible for real-time monitoring of drone flights, ensuring operational compliance, and maintaining the highest standards of safety and efficiency. Key job responsibilities • Continuously monitor the status of all active drone flights within the assigned region, utilizing our state-of-the-art monitoring systems. • Identify and respond to any deviations from planned flight paths or operational parameters. • Ensure all drone flights comply with regulatory requirements and company safety policies. • Coordinate effectively with the relevant teams to implement immediate response strategies to mitigate risks and resolve situations. • Prepare and submit detailed reports on flight activities, incidents, and anomalies. Provide feedback and insights to support continuous operational improvement. • Utilize excellent analytical, problem-solving, and decision-making skills while maintaining a high attention to detail in all tasks. • Demonstrate strong communication and interpersonal skills while working effectively in a high-pressure environment. • Adhere to FAA regulations and Prime Air directives and processes. This role requires the ability to carry/lift up to 50 lbs., stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend and reach. This role requires the ability to work any shift, including nights, weekends, and holidays This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA. Basic Qualifications: - FAA Part 107 Remote Pilot Certificate - High School diploma or equivalent - Knowledge of weather patterns for flight operations - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach - Travel up to 25% of the time - Experience interpreting flight monitoring systems or similar technical platforms - Experience with Federal Aviation Administration (FAA) regulations or similar technical platforms - Understanding and application of FAA regulations and aviation policy and safety protocols - Can decode METAR readings, interpret weather conditions that may affect operations, and recommend appropriate actions. - Can work in an environment where the noise level varies and is subject to variable temperatures and weather conditions, including working outside in outdoor temperatures and refrigerated environments - Can show a demonstrated record of good attendance and the ability to consistently arrive on time for scheduled shifts Preferred Qualifications: - Experience in aviation, drone operations, or a similar real-time monitoring role - Experience with technical or engineering record keeping methods and tools - Can show excellent decision-making capabilities under pressure - Experience with risk assessment and mitigation - Can show ablitiy to multitask in a fast-paced environment - Prior experience in aviation, drone operations, or a similar real-time monitoring role - Excellent decision-making capabilities under pressure Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, TX, Richmond - 23.00 - 40.00 USD hourly USA, TX, Richmond - 35.00 - 35.00 USD hourly", "summaryDescription" : "Flight Monitor at Amazon. com Services LLC. Monitor flight operations. Ensure safety and efficiency", "postedDate" : "2026-06-13T18:41:16.974", "createdAt" : "2026-06-13T18:41:16.974", "lastUpdated" : "2026-06-15T06:38:43.479", "ingestTimestamp" : "2026-06-13T18:41:16.974", "mongoId" : "6a2176df74d8ee00a0c1b2fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437686/apply", "salaryAnnualMin" : 47840, "salaryAnnualMax" : 83200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Aviation operations" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30597ff292fd229cf48364", "title" : "ML Engineer", "company" : "Docker", "industry" : "Engineering", "salary" : { "min" : 138500.0, "max" : 225500.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, CA", "locations" : [ "Palo Alto, CA", "Seattle, WA" ], "timestamp" : "2026-06-16T11:37:44.842", "fingerprint" : "888945d878b50df41d175f2841e1727a78557a1c478c607efb6dd6487ba90342", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/docker/29af4c7f-6c9b-4bb4-a5fa-4950fa292be4/application", "externalId" : "29af4c7f-6c9b-4bb4-a5fa-4950fa292be4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ML, LLM, Python, AWS, Docker, Kubernetes, TensorFlow", "professionalSkills" : [ "System design", "Architecture", "Evaluation methodology", "Model lifecycle" ], "hardSkillsList" : [ "Prompt injection detection", "Behavioral anomaly detection", "Trust scoring", "Policy recommendations", "Data pipelines", "Feature stores", "Model serving", "Evaluation harnesses", "Prompt engineering", "Fine-tuning", "Retrieval", "Guardrails", "Agent frameworks" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Prompt injection detection", "level" : "intermediate" }, { "name" : "Behavioral anomaly detection", "level" : "intermediate" }, { "name" : "Trust scoring", "level" : "intermediate" }, { "name" : "Policy recommendations", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Feature stores", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Evaluation harnesses", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Retrieval", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" }, { "name" : "Agent frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ML systems, Production systems, LLM-based systems", "majorSkillsList" : [ "ML systems", "Production systems", "LLM-based systems" ], "coreResponsibilities" : "Design ML systems, Train ML systems, Evaluate ML systems, Ship ML systems, Build supporting infrastructure, Make build-vs-buy calls, Use frontier models, Use off-the-shelf tooling, Use managed services, Set technical direction, Own architecture, Own evaluation methodology, Own model lifecycle, Own shipping bar, Help recruit, Mentor engineers, Shape the team", "teamCollaboration" : "Across teams; With other engineers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Autonomous workflows; Agentic systems; Adversarial dynamics; Imbalanced data; High-stakes decisions", "domainList" : [ "autonomous-workflows", "agentic-systems", "adversarial-dynamics", "imbalanced-data", "high-stakes-decisions" ], "domainSpecificKnowledge" : [ "Autonomous workflows", "Agentic systems", "Adversarial dynamics", "Imbalanced data", "High-stakes decisions" ], "toolProficiency" : [ "Docker Desktop", "Docker Hub", "Docker Scout" ], "communicationSkills" : "Write clearly", "continuousLearning" : "Training stipend; Conferences; Courses; Classes", "innovationCreativity" : "Early-stage effort", "problemSolvingSkills" : "Crisp decisions with incomplete information", "specialRequirements" : "24/7 on-call rotation, Pager responsibility", "qualificationsBasic" : "5+ years applied ML/AI expertise, 4+ years software engineering experience, Bachelor's degree in Computer Science, Built and owned ML systems, Shipped customer-facing products end to end, Experience with LLM-based systems in production, Familiarity with agent / MCP ecosystem", "qualificationsPreferred" : "Experience in fraud, abuse, safety, security, or trust domains", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. Docker's long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational. The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform. ABOUT THE ROLE We're hiring a ML Engineer as one of the founding engineers on Intelligence Org. You'll work directly with the team's first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: you'll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales. RESPONSIBILITIES - Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations. - Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast. - Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage. - Set technical direction for the team's ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping. - Help recruit, mentor, and shape the team as it grows. - This role may require participation in a 24/7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate QUALIFICATIONS - 5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable. - 4+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - You've built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end. - You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they can't, and when to combine the two. - Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks. - Familiarity with the agent / MCP ecosystem. - You're energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information. - Collaborative and low-ego. You work well across teams, write clearly, and bring others along. Docker considers visa sponsorship on a case-by-case basis based on business needs. Perks - Freedom & flexibility; fit your work around your life - Designated quarterly Whaleness Days plus end of year Whaleness break - Home office setup; we want you comfortable while you work - 16 weeks of paid Parental leave (after 6 months of employment) - Technology stipend equivalent to $100 USD net/month - PTO plan that encourages you to take time to do the things you enjoy - Training stipend for conferences, courses and classes - Equity; we are a growing start-up and want all employees to have a share in the success of the company - Docker Swag - Medical benefits, retirement and holidays vary by country - Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE", "summaryDescription" : "ML Engineer at Docker. Skills: ML systems, Production systems, LLM-based systems. Design ML systems. Train ML systems", "createdAt" : "2026-06-16T00:28:12.113", "lastUpdated" : "2026-06-16T11:37:44.842", "ingestTimestamp" : "2026-06-16T00:28:12.113", "mongoId" : "6a30597ff292fd229cf48364", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 138500, "salaryAnnualMax" : 225500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt injection detection", "Behavioral anomaly detection", "Trust scoring", "Policy recommendations", "Data pipelines", "Feature stores", "Model serving", "Evaluation harnesses", "Prompt engineering", "Fine-tuning", "Retrieval", "Guardrails", "Agent frameworks", "Leadership", "Mentoring", "ML systems", "Production systems", "LLM-based systems", "System design", "Architecture", "Evaluation methodology", "Model lifecycle", "Roadmap planning", "Autonomous workflows", "Agentic systems", "Adversarial dynamics", "Imbalanced data", "High-stakes decisions", "Docker Desktop", "Docker Hub", "Docker Scout" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25146374d8ee00a00bb756", "title" : "Case Mgr, US-PR [S], Disability and Leave Services", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Human Resources, amazonian experience and tech", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Case Manager in the Technology industry in Hyderabad, India, with 2+ years of experience." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T04:35:25.268", "fingerprint" : "6036a28964ce10a01f572391aaa56ceb945452b71e2f288dcfcb5785fa9df7f3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440400/apply", "externalId" : "821b4a58-a40b-47c6-a3bf-b9244837146f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "professionalSkills" : [ "Case management", "Leave administration", "Disability services" ], "hardSkillsList" : [ "Medical documentation review", "Adjudicate leaves" ], "hardSkills" : [ { "name" : "Medical documentation review", "level" : "intermediate" }, { "name" : "Adjudicate leaves", "level" : "intermediate" } ], "majorSkills" : "Case management, Leave of absence, Disability services", "majorSkillsList" : [ "Case management", "Leave of absence", "Disability services" ], "coreResponsibilities" : "Initiate inquiries about leave events, Respond to inquiries about leave events, Provide holistic case management services, Review medical documentation, Adjudicate leaves, Leverage duration guidelines, Leverage best practice tools, Leverage Amazon resources, Support oversight of leave event, Assess case management plan, Adjust case management plan, Address sensitive situations, Respond to sensitive situations, Troubleshoot issues, Remove barriers, Respond to employee impacting issues, Ensure right communication occurs, Identify problems, Solve problems, Facilitate return to work, Facilitate ramp-back plan, Educate managers, Educate business partners, Communicate regular updates, Ensure compliance with standard work, Ensure compliance with federal regulations, Ensure compliance with state regulations, Ensure compliance with company policy, Maintain system records, Consult with third party administrator, Coordinate with third party administrator, Partner with third party administrator, Consult with HR, Coordinate with HR, Partner with HR, Consult with Safety, Coordinate with Safety, Partner with Safety, Consult with Legal, Coordinate with Legal, Partner with Legal, Consult with Payroll, Coordinate with Payroll, Partner with Payroll, Consult with Benefits, Coordinate with Benefits, Partner with Benefits, Consult with team members, Coordinate with team members, Partner with team members, Consult with other departments, Coordinate with other departments, Partner with other departments, Consult with other systems, Coordinate with other systems, Partner with other systems, Perform other duties as assigned", "teamCollaboration" : "Partner with third party administrator; Partner with HR; Partner with Safety; Partner with Legal; Partner with Payroll; Partner with Benefits; Partner with team members; Partner with other departments", "domainKnowledge" : "Leave plans; Disability plans; Federal laws; State laws; Benefit plans", "domainList" : [ "leave-plans", "disability-plans", "federal-laws", "state-laws", "benefit-plans" ], "domainSpecificKnowledge" : [ "Leave plans", "Disability plans", "Federal laws", "State laws", "Benefit plans" ], "toolProficiency" : [ "Microsoft Office", "Word", "Excel" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Maintain system records; Accurate information; Timely information", "problemSolvingSkills" : "Troubleshoot issues; Identify problems; Solve problems", "qualificationsBasic" : "2+ years of customer service experience, Bachelor's degree in business, HR, or a related field", "qualificationsPreferred" : "Master's degree, Experience handling confidential information, Experience with process improvement, Experience with stakeholder management, Experience and knowledge in Six Sigma belts, Experience with process improvement initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This is a contractual role At Amazon we believe that every day is still day one. We are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you’d like to help the Disability Leave Services (DLS) team build a best-in-class professional services program to deliver leave of absence, disability and accommodation services to Amazon employees, applicants, job seekers and candidates globally, this is your chance to make history by joining the amazing Disability & Leave Services Team. The DLS Case Manager provides case management for all types of leave of absence and disability life events. The DLS Case Manager is highly skilled in answering questions, understanding the employee’s situation, applying the appropriate benefits, responding to changing circumstances and needs, and paves the way for a connected and trusted case management experience. Case Managers are the single point of contact for an employee throughout an entire leave of absence or disability event. This is an individual contribution (IC) role with no direct reports. Essential Responsibilities: • Initiate and respond to inquiries about leave and disability events, benefits, and options available to employees • Serve as a point of contact for assigned employees to provide holistic case management services, including reviewing medical documentation to adjudicate leaves in compliance with the corresponding leave plans, federal and state laws and benefit plans as defined by Amazon • Leverage duration guidelines, best practice tools and Amazon resources to support oversight of a leave event as appropriate • Critically assess and adjust the case management plan to an employee’s changing needs • Address and respond to sensitive situations • Troubleshoot issues and seek to remove barriers before, during, or after a leave event • Respond to employee impacting issues that may arise during the leave event and ensure the right communication occurs • Identify and solve problems that may arise, sometimes with limited information • Facilitate a smooth return to work and ramp-back plan for employees returning to the workplace • Educate managers and business partners on employee concerns and needs prior to being off or returning back to work • Communicate regular updates to employees and stakeholders both verbally and in writing • Ensure compliance with standard work, federal/state regulations, and company policy • Maintain system records to ensure accurate and timely information/documentation • Consult, coordinate and partner with our third party administrator, HR, Safety, Legal, Payroll, Benefits, team members and other departments/systems as appropriate • Other duties as assigned Basic Qualifications: - 2+ years of customer service experience, or Bachelor's degree in business, HR, or a related field - Knowledge of Microsoft Office applications including Word and Excel Preferred Qualifications: - Master's degree - Experience handling confidential information - Experience with process improvement and stakeholder management - Experience and knowledge in Six Sigma belts and process improvement initiatives Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Case Mgr, US-PR [S], Disability and Leave Services at Amazon Dev Center India. Skills: Case management, Leave of absence, Disability services. Initiate inquiries about leave events. Respond to inquiries about leave events", "postedDate" : "2026-06-13T15:52:50.143", "createdAt" : "2026-06-13T15:52:50.143", "lastUpdated" : "2026-06-15T04:35:25.268", "ingestTimestamp" : "2026-06-13T15:52:50.143", "mongoId" : "6a25146374d8ee00a00bb756", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440400/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Medical documentation review", "Adjudicate leaves", "Case management", "Leave of absence", "Disability services", "Leave administration", "Leave plans", "Disability plans", "Federal laws", "State laws", "Benefit plans", "Microsoft Office", "Word", "Excel" ], "skillCount" : 14, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a16291c58b93c861e95a2de", "title" : "BIM Model Manager", "company" : "HDR", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior BIM Model Manager in Charlotte, USA, adjusted for industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T22:47:58.503", "fingerprint" : "c4ad88b45bbbcd5a0d0bdff4d9702be1b6ed1c49ed0f384a6464fcc1d5829f70", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=761189", "externalId" : "761189", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Technical degree", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "3D design software, Document management, 3D Coordination tool, Microsoft Office", "professionalSkills" : [ "Engineering concepts", "Architectural concepts", "Industry standards", "Industry practices", "Discipline codes", "Specifications" ], "majorSkills" : "3D design software, Document management, 3D Coordination tool", "majorSkillsList" : [ "3D design software", "Document management", "3D Coordination tool" ], "toolProficiency" : [ "3D design software", "Document management", "3D Coordination tool", "Microsoft Office", "Communication tools" ], "qualificationsBasic" : "Technical degree or education/experience combination, Minimum 5 years related industry experience, Advanced skillset of 3D design software, Advanced skillset of document management infrastructure, Advanced skillset of 3D Coordination tool, Competency of Microsoft Office products, Competency of communication tools, Advanced understanding of engineering concepts, Advanced understanding of architectural concepts, Knowledge of industry standards, Knowledge of industry practices, Knowledge of discipline codes, Knowledge of specifications", "qualificationsPreferred" : "Excellent communication skills, Attention to detail, Organizational traits", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Technical degree or a combination of education and related industry experience A minimum of 5 years related industry experience Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tool Competency of Microsoft Office products and communication tools Advanced understanding of engineering or architectural concepts Knowledge of industry standards and practices, along with discipline codes and specifications Excellent communication skills, attention to detail and organizational traits are essential What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-North Carolina-Charlotte", "summaryDescription" : "BIM Model Manager at HDR. Skills: 3D design software, Document management, 3D Coordination tool", "createdAt" : "2026-06-14T21:17:55.791", "lastUpdated" : "2026-06-15T22:47:58.503", "ingestTimestamp" : "2026-06-14T21:17:55.791", "mongoId" : "6a16291c58b93c861e95a2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "3D design software", "Document management", "3D Coordination tool", "Engineering concepts", "Architectural concepts", "Industry standards", "Industry practices", "Discipline codes", "Specifications", "Microsoft Office", "Communication tools" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.92 }, { "id" : "6a30564bf292fd229cf26f23", "title" : "Manager, Test and Technical Engineering", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Non-Tech, Tech Ops Engineering, Cloud Computing", "salary" : { "min" : 153200.0, "max" : 254500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-16T07:22:57.615", "fingerprint" : "4a71963612b7261de39f30c95e11df808e7e905433db40caa507fab8041a4593", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448533/apply", "externalId" : "75d606e0-91b6-4e21-8556-6defb00da0ad", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, Java, C++, Cloud computing, Distributed systems, Machine learning, Data processing", "professionalSkills" : [ "System design", "Project management", "Team leadership" ], "hardSkillsList" : [ "Software development", "People management", "Cloud platforms", "Distributed systems" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "People management", "level" : "intermediate" }, { "name" : "Cloud platforms", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "majorSkills" : "Software development, People management, Cloud computing", "majorSkillsList" : [ "Software development", "People management", "Cloud computing" ], "coreResponsibilities" : "Manage a team of software engineers, Design and develop scalable software solutions, Oversee the entire software development lifecycle, Collaborate with product management, Drive technical strategy, Mentor and develop team members, Ensure code quality and best practices, Troubleshoot and resolve complex technical issues", "teamCollaboration" : "Cross-functional teams; Product management", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Distributed systems; Cloud platforms; Machine learning; Large-scale data processing", "domainList" : [ "distributed-systems", "cloud-platforms", "machine-learning", "large-scale-data-processing" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud platforms", "Machine learning", "Large-scale data processing" ], "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5 years of experience in software development, 2 years of experience in people management, Experience with cloud platforms, Experience with distributed systems", "qualificationsPreferred" : "Master's degree or PhD, Experience with machine learning, Experience with large-scale data processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Manufacturing & Repair operations is focused on automated assembly solutions where innovative solutions are needed to accelerate overall manufacturing time for AI/ML platforms. We work backwards from customers to increase critical capacity for AWS services by improving yield and reliability while reducing cycle time. This new highly cross-functional initiative brings together critical expertise from a wide-range of Amazon teams dedicated to meeting and exceeding customer expectations through innovative validation processes and Amazon operational excellence. We are seeking a Manager, Test and Technical Engineering to lead a global team of critical to quality engineering teams across Manufacturing Test Engineers, System Engineers, Automation and Process Engineers. This leader will work in conjunction with internal partner Hardware Engineering and NPI Test teams to translate testing methodology and scripts into our operational manufacturing environment. This is a rare opportunity to shape manufacturing test strategy from the ground up, directly impacting the speed and quality at which AI infrastructure reaches customers. We're looking for an engineering leader who thrives at the intersection of hardware, software, and manufacturing and re-manufacturing operations. You'll own the end-to-end manufacturing network and test ecosystem — from early prototype builds through high-volume production and sustaining — across server (L10) and rack-level (L11/L12) integration. This role requires someone who doesn't just find problems but owns the fix, builds self-remedy capabilities, and relentlessly drives uptime and automation. AWS Manufacturing & Repair is a part of the broader AWS Infrastructure Services team which owns the design, planning, delivery, and operation of all AWS global infrastructure. We are the teams who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! This role directly supports physical manufacturing environments across multiple locations with travel expected 25% of the time. Key job responsibilities Lead and develop a team of engineers to support the reliability of the products being manufactured where the automation and build/test is critical to safety for our Builders and critical to quality for customers. Own and Support the Test Ecosystem: Architect, develop, and maintain the manufacturing test infrastructure for AI server hardware products, spanning board-level validation through full rack integration and networking. Build and Scale Test Software: Design and maintain production test software and automation frameworks using Python, Bash, and related tooling, including test sequencing, equipment control, data collection, and reporting pipelines. Drive Automation & Self-Remedy: Develop automated test processes and self-healing capabilities that reduce manual intervention, increase throughput, and improve first-pass yield across the production line. Define Test Strategy: Establish modular test strategies, define pass/fail limits, and implement statistical process controls (GR&R, Cp/Cpk, correlation analysis) to ensure product quality at scale. Analyze Production Data: Compile and analyze test data using both automated reporting systems and exploratory analysis techniques to identify trends, root-cause failures, and drive corrective actions Own Uptime & Yield: Monitor functional test yield across shifts, lead triage efforts for test-station failures, and drive weekly production quality reviews with cross-functional partners. Collaborate Across Teams: Work closely with hardware design, firmware, process engineering, quality, and operations teams to ensure test requirements are aligned and products are designed for efficient, high-quality manufacturing. Guide Fixture & Infrastructure Design: Partner on test fixture design and procurement, ensuring alignment to cost, scalability, and schedule requirements; engage in RFQ processes for optimal end-to-end test solutions. Support New Product Introduction (NPI): Support partner teams in the development of test solutions for new product builds, from concept prototypes through production ramp, ensuring readiness at each phase gate. Sustain & Improve: Provide ongoing support for deployed test systems, implement configuration changes for new product variants, and maintain comprehensive documentation of test procedures, specifications, and infrastructure. Provide Feedback Upstream: Deliver actionable design-for-test (DFT) feedback to hardware and firmware development teams to improve testability and manufacturing efficiency for future platforms. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of management experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience hiring, developing, and managing high-performing technical teams - Experience in manufacturing environment for data center hardware components or other critical to quality technical industries Preferred Qualifications: - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, and OSHA - Experience owning the operation of a mission-critical team or product - Experience with large-scale technical operations or large-scale compute farms - Experience with process improvement techniques such as Kaizen, Lean Manufacturing or Six Sigma Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, KY, Florence - 153,200.00 - 254,500.00 USD annually USA, TX, Austin - 153,200.00 - 254,500.00 USD annually USA, WA, Bellevue - 153,200.00 - 254,500.00 USD annually", "summaryDescription" : "Manager, Test and Technical Engineering at Amazon Data Services, Inc.. Skills: Software development, People management, Cloud computing. Manage a team of software engineers. Design and develop scalable software solutions", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:56:46.891", "lastUpdated" : "2026-06-16T07:22:57.615", "ingestTimestamp" : "2026-06-15T21:56:46.891", "mongoId" : "6a30564bf292fd229cf26f23", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448533/apply", "salaryAnnualMin" : 153200, "salaryAnnualMax" : 254500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "People management", "Cloud platforms", "Distributed systems", "Cloud computing", "System design", "Project management", "Team leadership", "Agile methodologies", "Machine learning", "Large-scale data processing" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a211f292fd229c118b85", "title" : "EH&S Coordinator", "company" : "Loenbro", "salary" : { "min" : 58000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior EH&S Coordinator in Dallas, United States, within the Construction industry, adjusted for company size and full-time employment." }, "location" : "Dallas, TX", "locations" : [ "Dallas", "TX" ], "certifications" : [ "OSHA 30 certification" ], "timestamp" : "2026-06-16T13:01:46.583", "fingerprint" : "b4cf6ee6d6325e1a6d59110839df98529b65601cf1a44f6ee6c2dd65f1109a82", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/loenbro/jobs/4286850009", "externalId" : "4286850009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "professionalSkills" : [ "Record keeping", "Data entry" ], "majorSkills" : "EH&S compliance, Incident reporting", "majorSkillsList" : [ "EH&S compliance", "Incident reporting" ], "coreResponsibilities" : "Maintain EH&S records, Assist with incident investigations, Conduct safety training, Perform site safety audits, Ensure compliance with regulations, Manage safety data sheets, Support EH&S program development", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "OSHA regulations", "domainList" : [ "osha-regulations" ], "domainSpecificKnowledge" : [ "OSHA regulations" ], "toolProficiency" : [ "Microsoft Office Suite" ], "documentationSkills" : "Record keeping", "qualificationsBasic" : "1+ years of experience in EH&S, High school diploma or GED", "qualificationsPreferred" : "Bachelor's degree in related field, OSHA 30 certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: EH OSHA 30 required. Minimum 1 years prior experience working within the heavy industrial construction industry, including data centers, manufacturing, pipeline, mining, food and beverage, power, or refining environments. Working knowledge of OSHA regulations, standards, and other applicable codes/regulations. Excellent verbal and written communication skills. Ability to assess potential hazards and risks within operations and develop and implement strategies to mitigate them effectively. Understanding of and ability to learn incident investigation techniques and root cause analysis to identify underlying issues and develop solutions to prevent future occurrences. Ability to understand emergency response plans and procedures and ensuring readiness for potential emergencies. Ability to build relationships and collaborate with employees at all levels of the organization, as well as external stakeholders such as regulatory agencies and contractors. OSHA/MSHA Certification or background preferred. Familiarity with risk assessment methodologies such as Job Safety Analysis (JSA) or Hazard and Operability Study (HAZOP) to ensure comprehensive safety practices. Experience in conducting safety audits or inspections to identify and address potential EH&S hazards. Certification in First Aid/CPR, demonstrating the ability to respond effectively to safety incidents requiring immediate medical attention. Proficiency in using MS Office applications (Word, Excel, Outlook, and PowerPoint) for documentation and reporting purposes. Ability to use safety management software for reporting and documentation requirements. Physical Requirements: Ability to Climb up and down stairs and ladders. Ability to stand and walk for long periods of time. Ability to traverse difficult terrain such as getting in and out of trenches/excavations and up to elevated platforms (scaffolding at significant heights) Lifting necessary equipment and materials 1-50 pounds. Driving to travel (valid driver license and proof of insurability is required. All drivers are subject to a DMV background records search.) Work Environment: Outside most of the time. Potential exposure to extreme cold and hot temperatures Limited working surfaces Exposure to noise above 85 decibels and intense odors Exposure to areas with limited visibility Climbing up and down stairs and ladders to both get in and out of trenches and up to elevated platforms (scaffolding at significant heights) Lifting necessary equipment and materials 1-50 pounds, 50% of the time monthly for required tasks If driving is required, a valid driver’s license and proof of insurability is required. All drivers are subject to a DMV background records search. This role requires compliance with all applicable safety regulations, personal protective equipment (PPE) requirements, and Loenbro's Environmental Health and Safety (EH&S) policies. Benefits Loenbro offers a competitive salary, comprehensive benefits package, and rewards to those who join our team: Medical, dental, and vision insurance 401(k) retirement plan with company match Paid time off (PTO) and holiday pay Life and disability insurance Professional development and training opportunities Employee assistance program (EAP) Benefits eligibility may vary based on employment classification and hours worked. Guided by Core Values (LEAD), grounded in grit and a commitment to excellence, Loenbro betters our families, customers, and local communities. If you’re ready to be part of a company that LEADS by: Living with Integrity Exceeding Expectations Acting with Urgency Delivering Excellence …we want to hear from you. Loenbro is an Equal Opportunity Employer", "summaryDescription" : "EH&S Coordinator at Loenbro. Skills: EH&S compliance, Incident reporting. Maintain EH&S records. Assist with incident investigations", "postedDate" : "2026-06-16T03:17:11.301", "createdAt" : "2026-06-16T03:17:11.301", "lastUpdated" : "2026-06-16T13:01:46.583", "ingestTimestamp" : "2026-06-16T03:17:11.301", "mongoId" : "6a30a211f292fd229c118b85", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "EH&S compliance", "Incident reporting", "Record keeping", "Data entry", "OSHA regulations", "OSHA 30 certification", "Microsoft Office Suite" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a338f292fd229c123ee7", "title" : "EH&S Coordinator", "company" : "Loenbro", "salary" : { "min" : 58000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior EH&S Coordinator in Dallas, United States, within the Construction industry, adjusted for company size and full-time employment." }, "location" : "Dallas, TX", "locations" : [ "Dallas", "TX" ], "certifications" : [ "OSHA 30 certification" ], "timestamp" : "2026-06-16T12:26:06.790", "fingerprint" : "30f2fb3bfaf6df751788e35454d00234d65c57a2200bcdf07b013e8673295425", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/loenbro/jobs/4286850009", "externalId" : "4286850009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "professionalSkills" : [ "Record keeping", "Incident investigation" ], "majorSkills" : "EH&S compliance, Safety procedures", "majorSkillsList" : [ "EH&S compliance", "Safety procedures" ], "coreResponsibilities" : "Maintain EH&S records, Assist with incident investigations, Conduct safety training, Perform site safety audits, Ensure compliance with regulations, Support EH&S program development, Maintain SDS sheets, Assist with environmental permits", "teamCollaboration" : "Cross-functional teams; Site personnel", "domainKnowledge" : "OSHA regulations; Environmental regulations", "domainList" : [ "osha-regulations", "environmental-regulations" ], "domainSpecificKnowledge" : [ "OSHA regulations", "Environmental regulations" ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Safety training delivery", "documentationSkills" : "Record keeping; Incident reports", "problemSolvingSkills" : "Incident investigation", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "1+ years of experience in EH&S, High school diploma or GED", "qualificationsPreferred" : "Bachelor's degree in related field, OSHA 30 certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: EH OSHA 30 required. Minimum 1 years prior experience working within the heavy industrial construction industry, including data centers, manufacturing, pipeline, mining, food and beverage, power, or refining environments. Working knowledge of OSHA regulations, standards, and other applicable codes/regulations. Excellent verbal and written communication skills. Ability to assess potential hazards and risks within operations and develop and implement strategies to mitigate them effectively. Understanding of and ability to learn incident investigation techniques and root cause analysis to identify underlying issues and develop solutions to prevent future occurrences. Ability to understand emergency response plans and procedures and ensuring readiness for potential emergencies. Ability to build relationships and collaborate with employees at all levels of the organization, as well as external stakeholders such as regulatory agencies and contractors. OSHA/MSHA Certification or background preferred. Familiarity with risk assessment methodologies such as Job Safety Analysis (JSA) or Hazard and Operability Study (HAZOP) to ensure comprehensive safety practices. Experience in conducting safety audits or inspections to identify and address potential EH&S hazards. Certification in First Aid/CPR, demonstrating the ability to respond effectively to safety incidents requiring immediate medical attention. Proficiency in using MS Office applications (Word, Excel, Outlook, and PowerPoint) for documentation and reporting purposes. Ability to use safety management software for reporting and documentation requirements. Physical Requirements: Ability to Climb up and down stairs and ladders. Ability to stand and walk for long periods of time. Ability to traverse difficult terrain such as getting in and out of trenches/excavations and up to elevated platforms (scaffolding at significant heights) Lifting necessary equipment and materials 1-50 pounds. Driving to travel (valid driver license and proof of insurability is required. All drivers are subject to a DMV background records search.) Work Environment: Outside most of the time. Potential exposure to extreme cold and hot temperatures Limited working surfaces Exposure to noise above 85 decibels and intense odors Exposure to areas with limited visibility Climbing up and down stairs and ladders to both get in and out of trenches and up to elevated platforms (scaffolding at significant heights) Lifting necessary equipment and materials 1-50 pounds, 50% of the time monthly for required tasks If driving is required, a valid driver’s license and proof of insurability is required. All drivers are subject to a DMV background records search. This role requires compliance with all applicable safety regulations, personal protective equipment (PPE) requirements, and Loenbro's Environmental Health and Safety (EH&S) policies. Benefits Loenbro offers a competitive salary, comprehensive benefits package, and rewards to those who join our team: Medical, dental, and vision insurance 401(k) retirement plan with company match Paid time off (PTO) and holiday pay Life and disability insurance Professional development and training opportunities Employee assistance program (EAP) Benefits eligibility may vary based on employment classification and hours worked. Guided by Core Values (LEAD), grounded in grit and a commitment to excellence, Loenbro betters our families, customers, and local communities. If you’re ready to be part of a company that LEADS by: Living with Integrity Exceeding Expectations Acting with Urgency Delivering Excellence …we want to hear from you. Loenbro is an Equal Opportunity Employer", "summaryDescription" : "EH&S Coordinator at Loenbro. Skills: EH&S compliance, Safety procedures. Maintain EH&S records. Assist with incident investigations", "postedDate" : "2026-06-16T03:16:40.732", "createdAt" : "2026-06-16T03:16:40.732", "lastUpdated" : "2026-06-16T12:26:06.790", "ingestTimestamp" : "2026-06-16T03:16:40.732", "mongoId" : "6a30a338f292fd229c123ee7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "EH&S compliance", "Safety procedures", "Record keeping", "Incident investigation", "OSHA regulations", "Environmental regulations", "OSHA 30 certification", "Microsoft Office Suite" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf26122beec4dd3d90b4c2", "title" : "Cardiac Monitor Technician", "industry" : "Healthcare", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Cardiac Monitor Technician in Crystal River, United States, with adjustments for the healthcare industry and typical company size." }, "location" : "United States-Florida-Crystal River", "locations" : [ "United States-Florida-Crystal River", "
TGH Crystal River (TGHCR)
6201 N Suncoast Boulevard

Crystal River, 34428

" ], "certifications" : [ "Basic Life Support (BLS)" ], "timestamp" : "2026-06-16T00:41:44.660", "fingerprint" : "7937c8594df009b0af1b04d94fc6912941cd0a1ef98b425ccab22fbbf95e1ddb", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676161", "externalId" : "676161", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Crystal River", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.9024790,-82.5926012" } ], "locationText" : "Crystal River, Florida, United States", "minimumEducation" : "High School Diploma or GED", "hardSkillsList" : [ "Arrhythmia recognition", "EKG interpretation" ], "hardSkills" : [ { "name" : "Arrhythmia recognition", "level" : "intermediate" }, { "name" : "EKG interpretation", "level" : "intermediate" } ], "majorSkills" : "Cardiac rhythm monitoring, EKG interpretation", "majorSkillsList" : [ "Cardiac rhythm monitoring", "EKG interpretation" ], "coreResponsibilities" : "Monitor cardiac rhythms, Identify normal cardiac rhythms, Identify dysrhythmias, Report findings to personnel, Document rhythm, Label rhythm strips, Interpret rhythm strips, Perform 12 lead EKGs, Maintain telemetry monitors, Clean telemetry monitors, Interpret changes in rhythms, Record rhythm strips, Communicate lethal arrhythmias, Maintain alarms, Identify EKGs, Work with computer system, Maintain ER flow, Facilitate transfers, Facilitate admissions, Facilitate discharges, Answer telephone, Answer intercom, Relay messages", "teamCollaboration" : "Communicate with nursing staff", "domainKnowledge" : "Cardiac rhythms; Normal cardiac rhythms; Lethal arrhythmias", "domainList" : [ "cardiac-rhythms", "normal-cardiac-rhythms", "lethal-arrhythmias" ], "domainSpecificKnowledge" : [ "Cardiac rhythms", "Normal cardiac rhythms", "Lethal arrhythmias" ], "toolProficiency" : [ "Telemetry monitors" ], "documentationSkills" : "Rhythm documentation", "qualificationsBasic" : "Basic EKG class, Demonstration of competency through testing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, follows established policies, procedures, and professional guidelines. Responsible for monitoring and identifying basic normal cardiac rhythms, dysrhythmias, and lethal arrhythmias; reporting these findings to the appropriate personnel, and rhythm documentation and labeling per TGH policy. Promotes and maintains patient support including but not limited to: interprets and post rhythm strips and protocol, performs 12 lead EKGs. Maintain and clean portable telemetry monitors between patient use according to manufacturer's guidelines. Essential Functions · Accurately interprets changes in rhythms. · Records rhythm strips as required. · Demonstrates arrhythmia recognition skills. · Communicates lethal arrhythmias to nursing staff and documents strips as requested. · Maintains alarms on at all times with rates set safely to minimize false alarms. · Identifies individual EKGs with proper patient identifiers. · Works with the computer system, including Maintains flow through the ER and facilitate transfers, admissions and discharges timely. · Answers telephone and intercom in a pleasant and professional manner and relays message accurately and quickly. · Reports any malfunction of monitoring equipment to the Biomedical Technicians, Charge Nurse, and Nursing Director Education High School Diploma or GED Certification Basic Life Support (BLS) through American Heart Association or American Red Cross Work Experience Basic EKG class and demonstration of competency through testing. Crystal River", "summaryDescription" : "Cardiac Monitor Technician. Skills: Cardiac rhythm monitoring, EKG interpretation. Monitor cardiac rhythms. Identify normal cardiac rhythms", "createdAt" : "2026-06-14T21:16:25.002", "lastUpdated" : "2026-06-16T00:41:44.660", "ingestTimestamp" : "2026-06-14T21:16:25.002", "mongoId" : "69cf26122beec4dd3d90b4c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Arrhythmia recognition", "EKG interpretation", "Cardiac rhythm monitoring", "Cardiac rhythms", "Normal cardiac rhythms", "Lethal arrhythmias", "Basic Life Support (BLS)", "Telemetry monitors" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305815f292fd229cf40274", "title" : "BIM/Revit Model Specialist", "company" : "HDR", "salary" : { "min" : 2600.0, "max" : 3713.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T07:11:02.565", "fingerprint" : "bc58f61d6b50d7f92972c48b703eeef5fa626f7a0a8cc53cff8553eb8b7eb4eb", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784935", "externalId" : "784935", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Revit, BIM, MEP", "professionalSkills" : [ "Digital delivery", "Design reviews", "3D coordination" ], "hardSkillsList" : [ "Model setup", "Model maintenance", "Model coordination", "Digital delivery output" ], "hardSkills" : [ { "name" : "Model setup", "level" : "intermediate" }, { "name" : "Model maintenance", "level" : "intermediate" }, { "name" : "Model coordination", "level" : "intermediate" }, { "name" : "Digital delivery output", "level" : "intermediate" } ], "majorSkills" : "BIM Execution Plan, MEP Revit modeling, Digital delivery", "majorSkillsList" : [ "BIM Execution Plan", "MEP Revit modeling", "Digital delivery" ], "coreResponsibilities" : "Create BIM Execution Plan, Maintain BIM Execution Plan, Setup MEP Revit models, Maintain MEP discipline models, Create MEP discipline models, Generate BIM elements, Execute project BIM Execution Plan requirements, Create MEP discipline systems, Maintain MEP discipline systems, Create MEP discipline content, Maintain MEP discipline content, Create MEP digital delivery output, Maintain MEP digital delivery output, Model BIM elements, Prepare detailed drawings, Prepare layouts, Prepare diagrams, Produce discipline specific documentation, Monitor company standards, Improve company standards, Maintain company standards, Monitor model health, Improve model health, Maintain model health, Coordinate design with other discipline models, Conduct design reviews, Conduct 3D coordination processes, Work with clients using BIM model, Work with contractor representatives using BIM model, Apply technology to address needs, Develop BES business class digital needs, Prepare BIM presentations, Deliver BIM presentations, Perform other duties", "teamCollaboration" : "Design reviews; 3D coordination processes", "projectManagementSkills" : [ "BIM Execution Plan" ], "domainKnowledge" : "Building engineering; Data centers; Commercial environments; Mechanical engineering; Electrical engineering; Structural engineering; Civil engineering; Built environment; Healthcare facilities; Science and Technology facilities; Higher Education facilities; Federal facilities; Transportation facilities; Water facilities; Resources facilities; Sustainable design; Energy conservation; Plumbing design; Site civil design; Structural design; Specialty design; Public projects; Municipal projects; Private projects; Federal projects; MEP disciplines; Architectural concepts; Engineering concepts; Industry standards; Discipline codes; Specifications", "domainList" : [ "building-engineering", "data-centers", "commercial-environments", "mechanical-engineering", "electrical-engineering", "structural-engineering", "civil-engineering", "built-environment", "healthcare-facilities", "science-and-technology-facilities", "higher-education-facilities", "federal-facilities", "transportation-facilities", "water-facilities", "resources-facilities", "sustainable-design", "energy-conservation", "plumbing-design", "site-civil-design", "structural-design", "specialty-design", "public-projects", "municipal-projects", "private-projects", "federal-projects", "mep-disciplines", "architectural-concepts", "engineering-concepts", "industry-standards", "discipline-codes", "specifications" ], "domainSpecificKnowledge" : [ "Building engineering", "Data centers", "Commercial environments", "Mechanical engineering", "Electrical engineering", "Structural engineering", "Civil engineering", "Built environment", "Healthcare facilities", "Science and Technology facilities", "Higher Education facilities", "Federal facilities", "Transportation facilities", "Water facilities", "Resources facilities", "Sustainable design", "Energy conservation", "Plumbing design", "Site civil design", "Structural design", "Specialty design", "Public projects", "Municipal projects", "Private projects", "Federal projects", "MEP disciplines", "Architectural concepts", "Engineering concepts", "Industry standards", "Discipline codes", "Specifications" ], "toolProficiency" : [ "Revit", "Navisworks", "BIM360" ], "communicationSkills" : "BIM presentations", "documentationSkills" : "Architectural documentation; Engineering documentation; Plan presentation; Detailed drawings; Discipline specific documentation", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Novel ideas", "problemSolvingSkills" : "Solve complex design challenges", "qualificationsBasic" : "MEP Revit model setup, MEP discipline models maintenance, BIM elements generation, Architectural and engineering documentation understanding, BIM elements modeling, Detailed drawings preparation, Discipline specific documentation production, Company standards monitoring, Model health maintenance, Design coordination with other disciplines, BIM model use for review, Project needs understanding, Technology application understanding, BIM presentations preparation, BIM presentations delivery", "qualificationsPreferred" : "Drafting experience for buildings/facilities projects using Revit, Extensive knowledge of BIM, Design phases knowledge, Construction documents knowledge, Technical and engineering knowledge, BIM production experience, Building modeling experience, Process piping modeling experience, Basic understanding of MEP disciplines, Navisworks experience, BIM360 experience, Advanced understanding of engineering concepts, Advanced understanding of architectural concepts, Industry standards knowledge, Discipline codes knowledge, Specifications knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR’s Building Engineering Services team (BES) provides mechanical, electrical, plumbing, site civil, structural and specialty design services for a wide variety of buildings that include public, municipal, private, and Federal project types across the region and globally. With a team of experienced staff in specific market sectors such as Healthcare, Science and Technology, Data Centers, Higher Education, Federal, Transportation, Water, and Resources facilities, we provide engineering excellence for our clients. We have an industry leading focus on sustainable design and energy conservation. The HDR BES group in Denver is looking for a BIM/Revit Model Specialist to join our team. Primary Responsibilities In the role of BIM/Revit Model Coordinato r, we'll count on you to: Create and maintain the BIM Execution Plan (BEP) Be responsible for MEP Revit model setup when projects are initiated Maintain the MEP discipline models including project information, coordinates, scales, orientations, scope boundaries, match lines, views, and sheets Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Generate the BIM elements, based on the Level of Development (LOD) outlined in the BIM Execution Plan (BEP) and project scope Execute all other requirements identified in the project BIM Execution Plan (BEP) Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Have an advanced understanding of architectural and engineering documentation and plan presentation for all disciplines Accurately model BIM elements in the correct special constraints of the modeling environment using Revit Prepare detailed drawings, layouts, and diagrams of the design within the project scope, schedule, and budget, using Revit Produce discipline specific documentation with accurate annotations on all modeling output Monitor, improve, and maintain company standards and model health. Coordinate the design with other discipline models through design reviews and 3D coordination processes Work with clients or contractor representatives using the BIM model for review purposes Understand various project needs and how technology can be applied to address those needs Contribute to the development of the Building Engineering Services (BES) business class digital needs Prepare and deliver BIM presentations at meetings and conferences internally or externally to clients Perform other duties as needed Preferred Qualifications: Drafting experience for buildings/facilities projects using Revit with proficiency Extensive knowledge of BIM, design phases, construction documents, technical and engineering knowledge Experience in BIM production (either building modeling or process piping modeling) Basic understanding of MEP disciplines and how they interact with other discipline designs Navisworks and BIM360 experience preferred Local candidates are preferred Advanced understanding of engineering or architectural concepts Knowledge of industry standards and practices, along with discipline codes and specifications Excellent communication skills, attention to detail and organizational traits are essential #LI-EV1 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Colorado: %2426.00 - %2437.13", "summaryDescription" : "BIM/Revit Model Specialist at HDR. Skills: BIM Execution Plan, MEP Revit modeling, Digital delivery. Create BIM Execution Plan. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR’s Building Engineering Services team (BES) provides mechanical, electrical, plumbing, site civil, structural and specialty design services for a wide variety of buildings that include public, municipal, private, and Federal project types across the region and globally. With a team of experienced staff in specific market sectors such as Healthcare, Science and Technology, Data Centers, Higher Education, Federal, Transportation, Water, and Resources facilities, we provide engineering excellence for our clients. We have an industry leading focus on sustainable design and energy conservation. The HDR BES group in Denver is looking for a BIM/Revit Model Coordinator to join our team. Primary Responsibilities In the role of BIM/Revit Model Coordinator, we'll count on you to: Create and maintain the BIM Execution Plan (BEP) Be responsible for MEP Revit model setup when projects are initiated Maintain the MEP discipline models including project information, coordinates, scales, orientations, scope boundaries, match lines, views, and sheets Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Generate the BIM elements, based on the Level of Development (LOD) outlined in the BIM Execution Plan (BEP) and project scope Execute all other requirements identified in the project BIM Execution Plan (BEP) Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Have an advanced understanding of architectural and engineering documentation and plan presentation for all disciplines Accurately model BIM elements in the correct special constraints of the modeling environment using Revit Prepare detailed drawings, layouts, and diagrams of the design within the project scope, schedule, and budget, using Revit Produce discipline specific documentation with accurate annotations on all modeling output Monitor, improve, and maintain company standards and model health. Coordinate the design with other discipline models through design reviews and 3D coordination processes Work with clients or contractor representatives using the BIM model for review purposes Understand various project needs and how technology can be applied to address those needs Contribute to the development of the Building Engineering Services (BES) business class digital needs Prepare and deliver BIM presentations at meetings and conferences internally or externally to clients Perform other duties as needed Preferred Qualifications: Extensive knowledge of BIM, design phases, construction documents, technical and engineering knowledge Experience in BIM production (either building modeling or process piping modeling) Basic understanding of MEP disciplines and how they interact with other discipline designs Navisworks and BIM360 experience preferred Local candidates are preferred Advanced understanding of engineering or architectural concepts Knowledge of industry standards and practices, along with discipline codes and specifications Excellent communication skills, attention to detail and organizational traits are essential #LI-MV3 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR’s Building Engineering Services team (BES) provides mechanical, electrical, plumbing, site civil, structural and specialty design services for a wide variety of buildings that include public, municipal, private, and Federal project types across the region and globally. With a team of experienced staff in specific market sectors such as Healthcare, Science and Technology, Data Centers, Higher Education, Federal, Transportation, Water, and Resources facilities, we provide engineering excellence for our clients. We have an industry leading focus on sustainable design and energy conservation. The HDR BES group in Denver is looking for a BIM/Revit Model Coordinator to join our team. Primary Responsibilities In the role of BIM/Revit Model Coordinator, we'll count on you to: Create and maintain the BIM Execution Plan (BEP) Be responsible for MEP Revit model setup when projects are initiated Maintain the MEP discipline models including project information, coordinates, scales, orientations, scope boundaries, match lines, views, and sheets Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Generate the BIM elements, based on the Level of Development (LOD) outlined in the BIM Execution Plan (BEP) and project scope Execute all other requirements identified in the project BIM Execution Plan (BEP) Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Have an advanced understanding of architectural and engineering documentation and plan presentation for all disciplines Accurately model BIM elements in the correct special constraints of the modeling environment using Revit Prepare detailed drawings, layouts, and diagrams of the design within the project scope, schedule, and budget, using Revit Produce discipline specific documentation with accurate annotations on all modeling output Monitor, improve, and maintain company standards and model health. Coordinate the design with other discipline models through design reviews and 3D coordination processes Work with clients or contractor representatives using the BIM model for review purposes Understand various project needs and how technology can be applied to address those needs Contribute to the development of the Building Engineering Services (BES) business class digital needs Prepare and deliver BIM presentations at meetings and conferences internally or externally to clients Perform other duties as needed Preferred Qualifications: Extensive knowledge of BIM, design phases, construction documents, technical and engineering knowledge Experience in BIM production (either building modeling or process piping modeling) Basic understanding of MEP disciplines and how they interact with other discipline designs Navisworks and BIM360 experience preferred Local candidates are preferred Advanced understanding of engineering or architectural concepts Knowledge of industry standards and practices, along with discipline codes and specifications Excellent communication skills, attention to detail and organizational traits are essential #LI-MV3 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR’s Building Engineering Services team (BES) provides mechanical, electrical, plumbing, site civil, structural and specialty design services for a wide variety of buildings that include public, municipal, private, and Federal project types across the region and globally. With a team of experienced staff in specific market sectors such as Healthcare, Science and Technology, Data Centers, Higher Education, Federal, Transportation, Water, and Resources facilities, we provide engineering excellence for our clients. We have an industry leading focus on sustainable design and energy conservation. The HDR BES group in Denver is looking for a BIM/Revit Model Coordinator to join our team. Primary Responsibilities In the role of BIM/Revit Model Coordinator, we'll count on you to: Create and maintain the BIM Execution Plan (BEP) Be responsible for MEP Revit model setup when projects are initiated Maintain the MEP discipline models including project information, coordinates, scales, orientations, scope boundaries, match lines, views, and sheets Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Generate the BIM elements, based on the Level of Development (LOD) outlined in the BIM Execution Plan (BEP) and project scope Execute all other requirements identified in the project BIM Execution Plan (BEP) Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Have an advanced understanding of architectural and engineering documentation and plan presentation for all disciplines Accurately model BIM elements in the correct special constraints of the modeling environment using Revit Prepare detailed drawings, layouts, and diagrams of the design within the project scope, schedule, and budget, using Revit Produce discipline specific documentation with accurate annotations on all modeling output Monitor, improve, and maintain company standards and model health. Coordinate the design with other discipline models through design reviews and 3D coordination processes Work with clients or contractor representatives using the BIM model for review purposes Understand various project needs and how technology can be applied to address those needs Contribute to the development of the Building Engineering Services (BES) business class digital needs Prepare and deliver BIM presentations at meetings and conferences internally or externally to clients Perform other duties as needed Preferred Qualifications: Extensive knowledge of BIM, design phases, construction documents, technical and engineering knowledge Experience in BIM production (either building modeling or process piping modeling) Basic understanding of MEP disciplines and how they interact with other discipline designs Navisworks and BIM360 experience preferred Local candidates are preferred Advanced understanding of engineering or architectural concepts Knowledge of industry standards and practices, along with discipline codes and specifications Excellent communication skills, attention to detail and organizational traits are essential #LI-MV3 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR’s Building Engineering Services team (BES) provides mechanical, electrical, plumbing, site civil, structural and specialty design services for a wide variety of buildings that include public, municipal, private, and Federal project types across the region and globally. With a team of experienced staff in specific market sectors such as Healthcare, Science and Technology, Data Centers, Higher Education, Federal, Transportation, Water, and Resources facilities, we provide engineering excellence for our clients. We have an industry leading focus on sustainable design and energy conservation. The HDR BES group in Denver is looking for a BIM/Revit Model Coordinator to join our team. Primary Responsibilities In the role of BIM/Revit Model Coordinator, we'll count on you to: Create and maintain the BIM Execution Plan (BEP) Be responsible for MEP Revit model setup when projects are initiated Maintain the MEP discipline models including project information, coordinates, scales, orientations, scope boundaries, match lines, views, and sheets Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Generate the BIM elements, based on the Level of Development (LOD) outlined in the BIM Execution Plan (BEP) and project scope Execute all other requirements identified in the project BIM Execution Plan (BEP) Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Have an advanced understanding of architectural and engineering documentation and plan presentation for all disciplines Accurately model BIM elements in the correct special constraints of the modeling environment using Revit Prepare detailed drawings, layouts, and diagrams of the design within the project scope, schedule, and budget, using Revit Produce discipline specific documentation with accurate annotations on all modeling output Monitor, improve, and maintain company standards and model health. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR’s Building Engineering Services team (BES) provides mechanical, electrical, plumbing, site civil, structural and specialty design services for a wide variety of buildings that include public, municipal, private, and Federal project types across the region and globally. With a team of experienced staff in specific market sectors such as Healthcare, Science and Technology, Data Centers, Higher Education, Federal, Transportation, Water, and Resources facilities, we provide engineering excellence for our clients. We have an industry leading focus on sustainable design and energy conservation. The HDR BES group in Denver is looking for a BIM/Revit Model Coordinator to join our team. Primary Responsibilities In the role of BIM/Revit Model Coordinator, we'll count on you to: Create and maintain the BIM Execution Plan (BEP) Be responsible for MEP Revit model setup when projects are initiated Maintain the MEP discipline models including project information, coordinates, scales, orientations, scope boundaries, match lines, views, and sheets Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Generate the BIM elements, based on the Level of Development (LOD) outlined in the BIM Execution Plan (BEP) and project scope Execute all other requirements identified in the project BIM Execution Plan (BEP) Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Have an advanced understanding of architectural and engineering documentation and plan presentation for all disciplines Accurately model BIM elements in the correct special constraints of the modeling environment using Revit Prepare detailed drawings, layouts, and diagrams of the design within the project scope, schedule, and budget, using Revit Produce discipline specific documentation with accurate annotations on all modeling output Monitor, improve, and maintain company standards and model health. Coordinate the design with other discipline models through design reviews and 3D coordination processes Work with clients or contractor representatives using the BIM model for review purposes Understand various project needs and how technology can be applied to address those needs Contribute to the development of the Building Engineering Services (BES) business class digital needs Prepare and deliver BIM presentations at meetings and conferences internally or externally to clients Perform other duties as needed Preferred Qualifications: Extensive knowledge of BIM, design phases, construction documents, technical and engineering knowledge Experience in BIM production (either building modeling or process piping modeling) Basic understanding of MEP disciplines and how they interact with other discipline designs Navisworks and BIM360 experience preferred Local candidates are preferred Advanced understanding of engineering or architectural concepts Knowledge of industry standards and practices, along with discipline codes and specifications Excellent communication skills, attention to detail and organizational traits are essential #LI-MV3 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. TEST OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: - Unlimited Annual Leave Policy - Private healthcare and dental - Enhanced parental leave - Family-Friendly Flexibility & Flexible working - Sanctus Coaching - Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. 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The Systems Engineer should have experience architecting systems, working across the Systems Engineering Lifecycle, a deep understanding of Systems Engineering principles, reverse engineering techniques, and the ability to work with complex software systems and the utilization of Digital Engineering/MBSE to accomplish program goals. The candidate will support STR’s Systems Development Division to achieve architectural integrity and traceability from requirements analysis through system and software development and production system deployment. This position offers the opportunity to work with leading domain experts developing solutions to solve the most challenging national security problems. Our teams consist of motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. The ideal candidate will be experienced in Systems Engineering processes and techniques, Modeling and Simulation, software-based systems, Digital Engineering/MBSE and be excited about opportunities to grow and be a source of subject matter expertise across the organization. The Systems Engineer should have experience implementing a rigorous MBSE approach to develop DoD systems. New programs at STR will be looking to adopt agile approaches that incorporate model-based requirements management and traceability with software development. This position is well suited for a Systems Engineer with a software systems background who is interested in improving the state of the practice and demonstrating the advantages that MBSE can offer. What you will do: Utilize your Systems Engineering skillset as part of a tightly knit team to design, develop, implement, and deploy advanced software systems Analyze, reverse-engineer, derive, and define requirements from ambiguous or incomplete software system implementations and codebases Develop/generate documentation (e. g. Systems Requirements Document, SysML models) to capture requirements of new and existing systems Perform gap analysis between derived requirements and current system capabilities to identify missing features or functionalities Assist other technical contributors throughout the software lifecycle, from early prototypes to fully integrated systems Implement MBSE approaches using SysML in Cameo Work closely with domain experts and software development teams to realize program designs for a diverse set of applications, including: Distributed mission planning Intelligence Surveillance Reconnaissance (ISR) management Decision making support to human analysts/planners This position is based in one of our offices but will take advantage of STR’s flexible, hybrid environment: we anticipate that you could work remotely as much as 25% of the time Any time work does not require use of STR’s facilities, you are welcome to work remotely Who you are: This position requires an Active DoD Top Secret Clearance with SCI eligibility, for which U. S. citizenship is needed by U. S. Government BS, MS or PhD in Systems Engineering, Computer Science, Aerospace Engineering, Electrical Engineering, or a related technical field Experience implementing open architectures and integrating with large scale software-intensive systems and platform systems Strong ability to derive requirements from existing software and capture new customer requirements, and translate those into development tasks for software teams Comfortable working in dynamic environments and adjusting to changing priorities Minimum of 2 years work experience as a Systems Engineer or related field Experience architecting systems using system modeling tools (SysML in Cameo) Even Better: Domain expertise or familiarity with one or more of the following areas is highly desirable: Sea, air, and space platforms, mission planning, and C2 systems Sensor Resource Management Electronic Warfare Software deployment in cloud-based systems Government Open System Architectures (UCI, OMS, COARPS) 5+ years of experience in architecting systems using system modeling tools (SysML in Cameo) Experience porting models/designs from SparxEA to Cameo Experience in Java, Python, or object-oriented programming languages Agile software development experience and/or certification Pay Information Full-Time Salary Range: $110,000 - $150,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.", "summaryDescription" : "Model-Based Systems Engineer at STR", "postedDate" : "2026-06-15T23:22:53.102", "createdAt" : "2026-06-15T23:22:53.102", "lastUpdated" : "2026-06-16T08:27:42.989", "ingestTimestamp" : "2026-06-15T23:22:53.102", "mongoId" : "6a3057b0f292fd229cf3d1ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69f519c94c40e2acd1eb1be8", "title" : "Sr Manager, Professional Services Cloud Architecture", "company" : "Amazon Web Services Canada, Inc.", "industry" : "Sales, Advertising, Account Management, Professional Services, Cloud Computing", "salary" : { "min" : 172000.0, "max" : 287600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "certifications" : [ "AWS Professional level certification" ], "timestamp" : "2026-06-15T04:39:54.954", "fingerprint" : "119e7bcb60ec6daf9767846f3e1d0caad507ce2c9ce7b0692c3aeecb64196ae9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409186/apply", "externalId" : "08e1903f-f73a-46da-b5f1-24a3f85131da", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Cloud computing, Cloud architecture, Solution implementation", "professionalSkills" : [ "Pre-sales strategy", "Business performance", "Solution design", "Capacity planning", "Organizational design", "Talent development", "Customer satisfaction", "Knowledge sharing", "Best practice adoption" ], "hardSkillsList" : [ "Performance management", "Hiring", "Onboarding", "Retention", "Certification compliance", "Bookings performance", "Engagement margin", "Deal velocity", "Cross-sell", "Upsell", "AI adoption", "Escalation management", "KPI tracking", "Operational metrics", "Delivery readiness" ], "softSkillsList" : [ "Leadership", "Customer obsession" ], "hardSkills" : [ { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Hiring", "level" : "intermediate" }, { "name" : "Onboarding", "level" : "intermediate" }, { "name" : "Retention", "level" : "intermediate" }, { "name" : "Certification compliance", "level" : "intermediate" }, { "name" : "Bookings performance", "level" : "intermediate" }, { "name" : "Engagement margin", "level" : "intermediate" }, { "name" : "Deal velocity", "level" : "intermediate" }, { "name" : "Cross-sell", "level" : "intermediate" }, { "name" : "Upsell", "level" : "intermediate" }, { "name" : "AI adoption", "level" : "intermediate" }, { "name" : "Escalation management", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Operational metrics", "level" : "intermediate" }, { "name" : "Delivery readiness", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Customer obsession" } ], "majorSkills" : "Cloud Architecture, People Leadership, Business Performance, Customer Engagement", "majorSkillsList" : [ "Cloud Architecture", "People Leadership", "Business Performance", "Customer Engagement" ], "coreResponsibilities" : "Lead ProServe Cloud Architects, Lead PCA Managers, Drive pre-sales technical excellence, Drive people leadership, Drive regional business performance, Serve as strategic advisor, Engage C-level executives, Collaborate with Account Executives, Accelerate customers' cloud journeys, Define regional pre-sales strategy, Partner with Area Leaders, Ensure optimal coverage, Drive organizational design, Drive resource allocation, Drive capacity planning, Serve as executive sponsor, Build PCA Managers, Develop PCAs, Foster technical excellence, Foster customer obsession, Lead performance management, Lead career development, Lead goal setting, Drive hiring, Drive onboarding, Drive retention, Build high-performing teams, Identify future leaders, Develop future leaders, Ensure team certification compliance, Own regional Bookings performance, Enable teams, Support strategic opportunities, Drive Engagement Margin optimization, Monitor deal velocity, Reduce concessions, Identify cross-sell opportunities, Identify upsell opportunities, Champion AI adoption, Serve as executive escalation point, Build C-level relationships, Drive business outcomes, Champion customer satisfaction improvements, Establish regional KPIs, Track regional KPIs, Drive improvements in Engagement Velocity, Drive delivery readiness, Foster knowledge sharing, Foster artifact creation, Foster best practice adoption", "teamCollaboration" : "ProServe Account Executives; Delivery Teams; AGS Sales; Solution Architect Leadership; NAMER ProServe Area Leaders; AGS Sales; Technical Sales leadership", "projectManagementSkills" : [ "Capacity planning", "Organizational design" ], "domainKnowledge" : "Cloud architecture; Cloud computing", "domainList" : [ "cloud-architecture", "cloud-computing" ], "domainSpecificKnowledge" : [ "Cloud architecture", "Cloud computing" ], "communicationSkills" : "Executive presentations; Negotiation", "continuousLearning" : "Career development; Mentorship", "innovationCreativity" : "AI adoption", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve Engagement Margin; Reduce concessions; Improve customer satisfaction", "qualificationsBasic" : "10+ years IT/Consulting experience, 5+ years people leadership, Bachelor's degree, Experience managing people, Experience engaging C-level executives, Experience leading complex initiatives", "qualificationsPreferred" : "5+ years cloud computing experience, Experience building cloud architecture, Experience leading change programs, AWS Professional certification, 3+ years cloud architecture experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Senior Manager, Professional Services (ProServe) Cloud Architects (PCAM) - NAMER leads all ProServe Cloud Architects (PCAs) and PCA Managers across North America. Reporting to the NAMER ProServe Leader, this role drives pre-sales technical excellence, people leadership, and regional business performance aligned to ProServe's 3-Year Plan (3YP). This leader serves as a strategic advisor to customers, partners, and internal AWS stakeholders — engaging C-level executives, collaborating with ProServe Account Executives, Delivery Teams, AGS Sales, and Solution Architect Leadership to accelerate customers' cloud journeys. Key job responsibilities Regional Leadership & Strategy - Lead the NAMER PCA organization, including direct management of PCA Managers and oversight of all PCAs - Define and execute regional pre-sales strategy aligned to ProServe 3YP - Partner with NAMER ProServe Area Leaders, AGS Sales, and Technical Sales leadership to ensure optimal coverage - Drive organizational design, resource allocation, and capacity planning - Serve as a ProServe executive sponsor with customers People Leadership & Talent Development - Build and develop PCA Managers and PCAs, fostering technical excellence and customer obsession - Lead performance management, career development, and goal setting - Drive hiring, onboarding, and retention to build high-performing teams - Identify and develop future leaders; ensure team certification compliance Business Performance - Own regional Billable Bookings performance through team enablement and strategic opportunity support - Drive Engagement Margin (As Sold vs. As Delivered) optimization through quality solution design - Monitor deal velocity, reduce concessions, and identify cross-sell/upsell opportunities - Champion AI adoption with customers and builders Customer & Stakeholder Engagement - Serve as executive escalation point for complex technical and strategic customer situations - Build C-level relationships and drive business outcomes - Champion customer satisfaction (CSAT) improvements across all engagements Operational Excellence - Establish and track regional KPIs: bookings, margin, CSAT, team development, and operational metrics - Drive improvements in Engagement Velocity Acceleration (EvA) and delivery readiness - Foster knowledge sharing, reusable artifact creation, and best practice adoption About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 10+ years of IT and/or Management Consulting, or 5+ years of people leadership experience - Bachelor's degree in Computer Science, Math, or a related field - Experience managing people including development, hiring, performance management, and leading teams dispersed across various regions - Experience engaging with and influencing C-level executives - Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology Preferred Qualifications: - Experience with communication, presentation, and negotiation - Experience using data analysis to drive business decisions - Experience managing a budget or P&L - 5+ years of cloud computing experience - Experience building and operating a cloud-based architecture - Experience leading complex programs with significant change impact across organizational boundaries - AWS Professional level certification, or 3+ years of cloud architecture and solution implementation experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 172,200.00 - 287,600.00 CAD annually CAN, ON, Toronto - 172,200.00 - 287,600.00 CAD annually", "summaryDescription" : "Sr Manager, Professional Services Cloud Architecture at Amazon Web Services Canada, Inc.. Skills: Cloud Architecture, People Leadership, Business Performance, Customer Engagement. Lead ProServe Cloud Architects. Lead PCA Managers", "postedDate" : "2026-06-13T10:08:33.545", "createdAt" : "2026-06-13T10:08:33.545", "lastUpdated" : "2026-06-15T04:39:54.954", "ingestTimestamp" : "2026-06-13T10:08:33.545", "mongoId" : "69f519c94c40e2acd1eb1be8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409186/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Performance management", "Hiring", "Onboarding", "Retention", "Certification compliance", "Bookings performance", "Engagement margin", "Deal velocity", "Cross-sell", "Upsell", "AI adoption", "Escalation management", "KPI tracking", "Operational metrics", "Delivery readiness", "Leadership", "Customer obsession", "Cloud Architecture", "People Leadership", "Business Performance", "Customer Engagement", "Pre-sales strategy", "Business performance", "Solution design", "Capacity planning", "Organizational design", "Talent development", "Customer satisfaction", "Knowledge sharing", "Best practice adoption", "Cloud architecture", "Cloud computing", "AWS Professional level certification" ], "skillCount" : 33, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a305777f292fd229cf3a0c1", "title" : "S&L South Carolina Cloud Architect – Managed IT Services", "company" : "cBEYONData + SMX", "industry" : "Technology", "salary" : { "min" : 94700.0, "max" : 157800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hollywood, Maryland, United States", "locations" : [ "Hollywood", "Maryland", "United States" ], "timestamp" : "2026-06-16T06:11:19.981", "fingerprint" : "130dfbb25b65dfd3ff4491b786f79d0767f871073f80afe53dd5728648d496d9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ess/jobs/7660081003", "externalId" : "7660081003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hollywood", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.3380008,-76.5600957" }, { "city" : "Columbia", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.0007540,-81.0352313" } ], "locationText" : "Hollywood, Maryland, United States; Columbia, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are seeking an experienced Cloud Architect to join our State and Local Platforms and Data Managed Services team. In this key role, you will design, implement, and manage cloud solutions across a diverse portfolio of client environments. You will be responsible for architecting secure, scalable, and resilient cloud infrastructures, while ensuring ongoing optimization, compliance, and client satisfaction. This is not a single-client or in-house environment: you will juggle multiple projects and maintenance responsibilities for various organizations under strict SLAs. This is a hybrid position that may require periodic travel to customer facilities. Candidate must be within commuting distance of Columbia, SC. Essential Duties: • Design, deploy, and optimize cloud architectures (AWS, Azure, GCP, and/or hybrid environments) for multiple clients in line with industry best practices and compliance standards. • Collaborate with client stakeholders and internal service delivery teams to translate business requirements into scalable, cost-effective, repeatable cloud solutions. • Serve as a subject matter expert on cloud technologies, infrastructure automation, and cloud-native application design for multiple client accounts. • Lead client onboarding and cloud migration projects, ensuring minimal disruption and adherence to security and compliance requirements. • Monitor and proactively manage cloud environments, leveraging monitoring tools to identify and remediate issues under contractual SLAs. • Partner with our Network Operations Center (NOC) and Service Desk to respond to incidents, troubleshoot cloud-related issues, and manage escalations. • Develop and maintain standardized Infrastructure-as-Code (IaC) templates, deployment pipelines, and automation scripts for repetitive client needs. • Stay updated on the latest cloud service offerings, cost-saving opportunities, and security best practices; advise clients on strategic improvements and modernization. • Maintain accurate and detailed documentation for client environments, architecture diagrams, and standard operating procedures. • Assist with pre-sales activities including technical scoping, effort estimation, and proposal development for potential clients. • Implement and manage multi-tenant cloud environments ensuring secure resource separation, cost tracking, and compliance for each client. • Contribute to continuous improvement of our managed services processes and cloud management frameworks. Required Skills or equivalent work experience. • 5+ years hands-on experience designing, implementing, and supporting cloud infrastructure in a managed services, MSP, or consulting environment. • Deep expertise with at least one cloud platform (AWS, Azure, or GCP); multi-cloud or hybrid experience highly preferred. • Proficient in IaC tools such as Terraform, ARM, CloudFormation, or Ansible. • Strong understanding of networking, identity and access management, security best practices, and monitoring in the cloud. • Experience with automation, CI/CD pipelines, and containerization (Kubernetes, Docker, etc.). • Demonstrated xperience with ITIL, service management frameworks, and MSP-specific toolsets (ServiceNow, etc.). • Excellent interpersonal, client communication, and project management skills. • Able to work efficiently in a fast-paced, multi-client, SLA-driven environment. Desired Skills & Experience • Strategic thinker with the ability to align technical solutions with business goals. • Industry certifications (e.g., AWS Solutions Architect, Azure Solutions Architect Expert, Google Professional Cloud Architect, CISSP, etc.) are a strong plus. • Familiarity with Zero Trust Architecture (ZTA), TIC 3.0, and security controls • Exposure to AI/ML tooling within AWS or Azure (e.g., Bedrock, SageMaker, Comprehend, Lex, Azure OpenAI) • Ability to mentor and guide technical teams. Application Deadline: 5-29-2026 # LI-SA1 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $94,700—$157,800 USD SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "S&L South Carolina Cloud Architect – Managed IT Services at cBEYONData + SMX", "postedDate" : "2026-06-15T23:23:50.417", "createdAt" : "2026-06-15T23:23:50.417", "lastUpdated" : "2026-06-16T06:11:19.981", "ingestTimestamp" : "2026-06-15T23:23:50.417", "mongoId" : "6a305777f292fd229cf3a0c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 94700, "salaryAnnualMax" : 157800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2d017574d8ee00a0aba825", "title" : "Public Skating Monitor", "industry" : "Sports & Fitness", "salary" : { "min" : 31500.0, "max" : 40500.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry level Public Skating Monitor in Belleville, Canada, adjusted for industry and full-time employment." }, "location" : "Belleville, ON", "locations" : [ "Belleville, ON" ], "timestamp" : "2026-06-16T04:40:40.871", "fingerprint" : "befedd9e37f2dbe783aab16527529664b8d538b6d8d1888abebad672263aa73f", "source" : "jazzhr", "language" : "en", "externalId" : "Nsiep3l2jG", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belleville", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.2436328,-77.3607597" } ], "locationText" : "Belleville, Ontario, Canada", "coreResponsibilities" : "Monitor public skating activities, Ensure safety of patrons, Enforce facility rules, Assist patrons with equipment, Maintain ice surface cleanliness, Respond to emergencies", "domainKnowledge" : "Ice rink operations; Skating safety protocols", "domainList" : [ "ice-rink-operations", "skating-safety-protocols" ], "domainSpecificKnowledge" : [ "Ice rink operations", "Skating safety protocols" ], "communicationSkills" : "Patron assistance", "problemSolvingSkills" : "Emergency response", "specialRequirements" : "Must be able to stand for extended periods, Must be able to lift up to 25 lbs", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Public Skating Monitor. Monitor public skating activities. Ensure safety of patrons", "createdAt" : "2026-06-14T18:58:43.447", "lastUpdated" : "2026-06-16T04:40:40.871", "ingestTimestamp" : "2026-06-14T18:58:43.447", "mongoId" : "6a2d017574d8ee00a0aba825", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Ice rink operations", "Skating safety protocols" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.85 }, { "id" : "6a16291c58b93c861e95a0b2", "title" : "BIM Model Manager", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 115500.0, "max" : 156500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level BIM Model Manager in Kansas City, adjusted for industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T09:28:20.900", "fingerprint" : "508a1f33555c3ac10a24eef1843ab0b4b551ccda6549d465b6affc607fb7a21f", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779592", "externalId" : "779592", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kansas City", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1001050,-94.5781416" } ], "locationText" : "Kansas City, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "3D design software, Document management, 3D Coordination tools, Microsoft Office, Automation applications, Programming applications", "professionalSkills" : [ "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills" ], "hardSkillsList" : [ "Digital design", "Digital delivery", "Building systems operations", "3D design", "Document management", "3D Coordination", "Microsoft Office", "Automation", "Programming" ], "hardSkills" : [ { "name" : "Digital design", "level" : "intermediate" }, { "name" : "Digital delivery", "level" : "intermediate" }, { "name" : "Building systems operations", "level" : "intermediate" }, { "name" : "3D design", "level" : "intermediate" }, { "name" : "Document management", "level" : "intermediate" }, { "name" : "3D Coordination", "level" : "intermediate" }, { "name" : "Microsoft Office", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "majorSkills" : "BIM Model Management, Digital Delivery, 3D Coordination", "majorSkillsList" : [ "BIM Model Management", "Digital Delivery", "3D Coordination" ], "coreResponsibilities" : "Serve as first line technical support", "domainKnowledge" : "Building systems; Industry standards; Discipline codes; Specifications", "domainList" : [ "building-systems", "industry-standards", "discipline-codes", "specifications" ], "domainSpecificKnowledge" : [ "Building systems", "Industry standards", "Discipline codes", "Specifications" ], "toolProficiency" : [ "3D design software", "Document management infrastructure", "3D Coordination tools", "Microsoft Office", "Communication tools" ], "communicationSkills" : "Client service; Communication; Presentation skills", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "qualificationsBasic" : "Technical degree or education/experience combination, 5 years digital design experience, 3 years digital delivery experience, Understanding of discipline relations, Understanding of building systems operations, Advanced skillset 3D design software, Advanced skillset document management infrastructure, Advanced skillset 3D Coordination tools, Advanced skillset Microsoft Office products, Advanced skillset communication tools, Familiar with industry standards, Familiar with discipline codes, Familiar with specifications, Familiar with basic automation, Familiar with programming applications, Familiar with 3D design software add-ins, Familiar with supporting applications, Familiar with content creation concepts, Familiar with content management concepts, Superior client service skills, Superior communication skills, Superior presentation skills, Analytical skills, Problem-solving skills", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Missouri-Kansas City", "summaryDescription" : "BIM Model Manager at HDR. Skills: BIM Model Management, Digital Delivery, 3D Coordination. 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Organizational trust", "domainKnowledge" : "Building systems; Industry standards; Discipline codes; Specifications", "domainList" : [ "building-systems", "industry-standards", "discipline-codes", "specifications" ], "domainSpecificKnowledge" : [ "Building systems", "Industry standards", "Discipline codes", "Specifications" ], "toolProficiency" : [ "3D design software", "Document management infrastructure", "3D coordination tools", "Microsoft Office products", "Communication tools" ], "communicationSkills" : "Client service; Communication; Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "Technical degree or relevant experience, 5 years digital design experience, 3 years digital delivery experience, Understanding of discipline relations, Understanding of building systems operations, Advanced skillset 3D design software, Advanced skillset document management infrastructure, Advanced skillset 3D coordination tools, Advanced skillset Microsoft Office products, Advanced skillset communication tools, Familiar with industry standards, Familiar with discipline codes, Familiar with specifications, Familiar with basic automation, Familiar with programming applications, Familiar with 3D design add-ins, Familiar with supporting applications, Familiar with content creation concepts, Familiar with content management concepts, Superior client service skills, Superior communication skills, Superior presentation skills, Analytical skills, Problem-solving skills", "qualificationsPreferred" : "Serve as first line technical support", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "BIM Model Manager at HDR. Skills: BIM model management, Digital design, Digital delivery. Manage BIM models. Provide technical support", "createdAt" : "2026-06-14T06:14:16.641", "lastUpdated" : "2026-06-15T13:54:46.357", "ingestTimestamp" : "2026-06-14T06:14:16.641", "mongoId" : "6a16291c58b93c861e95a185", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Digital design", "Digital delivery", "3D design", "Document management", "3D coordination", "Automation", "Programming", "BIM model management", "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills", "Building systems", "Industry standards", "Discipline codes", "Specifications", "3D design software", "Document management infrastructure", "3D coordination tools", "Microsoft Office products", "Communication tools" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.92 }, { "id" : "69e104422beec4dd3def2844", "title" : "Principal Product Manager - Platform and ML Infra (AI/ML)", "company" : "Annapurna Labs", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Cloud Computing", "salary" : { "min" : 90000.0, "max" : 279000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T06:18:53.365", "fingerprint" : "2389955d072068b8944a1fca4566c6383463e9549057e86554257140680c6f4a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386337/apply", "externalId" : "5394d77f-e87a-4ace-be95-8c3b48355819", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Trainium is deployed at scale, with millions of chips in production, and has been used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency. AWS Neuron is hiring a Technical Product Manager to work backward from Trainium customers and drive the developer experience for running high-performance ML workloads at scale on AWS Trainium, from getting started with Neuron Deep Learning Containers, AMIs, and AWS services to operating at scale through orchestration, resiliency, and observability. You will drive the product strategy for how developers interact with Trainium through container ecosystems, resource management platforms, and AWS services. This includes Neuron integration with orchestration tools (SLURM, Kubernetes), AWS services (EKS, SageMaker), Neuron Deep Learning Containers and AMIs, and Linux distribution support. You will also drive the strategy for resiliency and observability tools that enable system diagnostics, performance monitoring, health monitoring, automated recovery, and telemetry, allowing customers to operate AI training and inference workloads with maximum uptime and efficiency, as well as how Neuron Runtime System interacts with ML frameworks to ensure scale and high performance execution of models. To be successful in this role, you will partner with engineering teams and PMs responsible for training, inference, and performance tools, Marketing, Business Development, and Solution Architects supporting customers, and develop deep knowledge and understanding of Trainium Architecture and Neuron Runtime System (including Neuron Runtime Library, Neuron Kernel Driver and Collective Communication Stack) to effectively define product strategy and make informed technical decisions. The Ideal Candidate The ideal candidate can balance competing customer priorities and drive alignment across engineering and business stakeholders in a fast-moving, early-stage product environment, with excellent written and verbal communication abilities. The ideal candidate has experience with: * Technical product management for developer-facing runtime and infrastructure products * Developer tools (SDKs, libraries, APIs) with focus on developer experience * Resource management and orchestration systems (SLURM, Kubernetes schedulers) * ML monitoring, observability, and resilience * Distributed systems and high-performance computing (HPC) environments * AWS cloud services and infrastructure About AWS Neuron AWS Neuron is the software stack for running deep learning and generative AI workloads on AWS Trainium and AWS Inferentia. It includes a compiler, runtime, training and inference libraries, and developer tools for monitoring, profiling, and debugging. Built on an open source foundation, Neuron supports native PyTorch and JAX frameworks and popular ML libraries without code modification. Neuron enables rapid experimentation, distributed training across multiple chips and nodes, and cost-optimized inference powered by optimized kernels. For performance optimization, Neuron provides the Neuron Kernel Interface (NKI) for direct hardware access and a suite of profiling and debugging tools. Key job responsibilities Product Strategy & Vision: Own product strategy and roadmap. Guide trade-offs between performance, scalability, and developer experience. Write PRFAQs and PRDs. Customer Discovery: Understand deployment challenges, orchestration needs, and infrastructure pain points. Represent customer needs in executive prioritization. Technical Leadership: Drive alignment across Neuron components (Runtime, Kernel Driver, Collective Communication, container infrastructure) and AWS services. Partner with training, inference, and performance PMs. Write user stories and define success metrics. Impact: Enable customers (Anthropic, Databricks, AWS teams) to deploy, monitor, and operate ML workloads at scale through container orchestration, resource management, health monitoring, and observability. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. About Amazon Annapurna Labs Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Utility Computing (UC) AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Basic Qualifications: - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience technical product management Preferred Qualifications: - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 206,900.00 - 279,900.00 USD annually", "summaryDescription" : "Principal Product Manager - Platform and ML Infra (AI/ML) at Annapurna Labs", "postedDate" : "2026-06-13T19:04:19.760", "createdAt" : "2026-06-13T19:04:19.760", "lastUpdated" : "2026-06-15T06:18:53.365", "ingestTimestamp" : "2026-06-13T19:04:19.760", "mongoId" : "69e104422beec4dd3def2844", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386337/apply", "salaryAnnualMin" : 90000, "salaryAnnualMax" : 279000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291b58b93c861e959e9c", "title" : "Project Coordinator, Architecture", "company" : "HDR", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Project Coordinator, Architecture in the United States, adjusted for mid-seniority and full-time employment." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T22:20:28.192", "fingerprint" : "3de9f190326f0f263f7d6d0af58b8992daa16b9c42308c0360571f9f0e3fc694", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=778611", "externalId" : "778611", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft Outlook", "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint", "Microsoft Outlook" ], "specialRequirements" : "Active participant in employee-owned culture", "qualificationsBasic" : "Bachelor's degree, 5 years related experience, Proficiency in Microsoft Word, Proficiency in Excel, Proficiency in PowerPoint, Proficiency in Outlook", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Bachelor's degree A minimum of 5 years related experience Proficiency in Microsoft Word, Excel, PowerPoint, and Outlook An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. Canada-Ontario-Toronto", "summaryDescription" : "Project Coordinator, Architecture at HDR", "createdAt" : "2026-06-14T21:57:35.799", "lastUpdated" : "2026-06-15T22:20:28.192", "ingestTimestamp" : "2026-06-14T21:57:35.799", "mongoId" : "6a16291b58b93c861e959e9c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint", "Microsoft Outlook" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c7ba974d8ee00a094a93f", "title" : "ML Microarchitect", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-15T22:10:34.793", "fingerprint" : "31583751666e3690fd1269f8222511d506dc8f166b3f63003463de6046715449", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=7997947", "externalId" : "7997947", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SystemVerilog, RTL design, Python, C++, Chisel, Scala", "professionalSkills" : [ "Microarchitecture design", "Performance optimization", "Hardware design", "Software optimization" ], "hardSkillsList" : [ "Digital design", "Arithmetic circuits", "Programmable engines" ], "hardSkills" : [ { "name" : "Digital design", "level" : "intermediate" }, { "name" : "Arithmetic circuits", "level" : "intermediate" }, { "name" : "Programmable engines", "level" : "intermediate" } ], "majorSkills" : "ML Microarchitecture, High-performance computing, Hardware/software co-design", "majorSkillsList" : [ "ML Microarchitecture", "High-performance computing", "Hardware/software co-design" ], "coreResponsibilities" : "Translate requirements into hardware features, Specify microarchitectures, Design microarchitectures, Perform power exploration, Perform area exploration, Perform performance optimization, Design execution units, Design arithmetic circuits, Design programmable engines, Work with verification teams, Guarantee functional correctness, Guarantee performance", "teamCollaboration" : "Work with researchers; Work with architects; Collaborate with teammates; Work with verification teams", "domainKnowledge" : "Autonomous driving; Machine learning algorithms; High performance computing cores; CPU/GPU/NPU microarchitectures; Automotive compute platforms", "domainList" : [ "autonomous-driving", "machine-learning-algorithms", "high-performance-computing-cores", "cpu-gpu-npu-microarchitectures", "automotive-compute-platforms" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Machine learning algorithms", "High performance computing cores", "CPU/GPU/NPU microarchitectures", "Automotive compute platforms" ], "toolProficiency" : [ "Synthesis tools", "Power analysis tools", "Formal tools" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "BS degree in Computer Engineering, 5+ years industry experience, 3+ years designing microarchitectures, Fluency in Python or C++", "qualificationsPreferred" : "Experience designing datapath elements, Experience with Chisel or other DSLs, Working knowledge of ML algorithms, Familiarity with Synthesis tools, Familiarity with power analysis tools, Experience with formal tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to the Senior Staff Silicon Engineer. You will: Work with researchers and architects to translate high level requirements into hardware features Specify and design microarchitectures to deliver world class ML performance Perform power, area and performance exploration and optimization of digital designs Design high performance execution units, arithmetic circuits and programmable engines Work with verification teams to guarantee functional correctness and performance You have: BS degree in Computer Engineering or equivalent practical experience 5+ years of industry experience with SystemVerilog, RTL design and microarchitecture 3+ years designing and specifying microarchitectures of high performance computing cores (CPU/GPU/NPU) Fluency in at least one high level programming language such as Python, C++ We prefer: Experience designing datapath elements of high performance cores (CPU/GPU/NPU) Experience working with Chisel (Scala) or other higher-level hardware DSLs Working knowledge of machine learning algorithms & how they map to hardware Familiarity with Synthesis and power analysis tools Experience working with formal tools for datapath verification The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000—$215,000 USD", "summaryDescription" : "ML Microarchitect at Waymo. Skills: ML Microarchitecture, High-performance computing, Hardware/software co-design. Translate requirements into hardware features. Specify microarchitectures", "postedDate" : "2026-06-14T19:01:02.110", "createdAt" : "2026-06-14T19:01:02.110", "lastUpdated" : "2026-06-15T22:10:34.793", "ingestTimestamp" : "2026-06-14T19:01:02.110", "mongoId" : "6a2c7ba974d8ee00a094a93f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Digital design", "Arithmetic circuits", "Programmable engines", "ML Microarchitecture", "High-performance computing", "Hardware/software co-design", "Microarchitecture design", "Performance optimization", "Hardware design", "Software optimization", "Autonomous driving", "Machine learning algorithms", "High performance computing cores", "CPU/GPU/NPU microarchitectures", "Automotive compute platforms", "Synthesis tools", "Power analysis tools", "Formal tools" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1d070f0b99d58d664db", "title" : "Lab Engineer - Integrated Test", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 73900.0, "max" : 165200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, USA", "locations" : [ "Kirkland, Washington, USA" ], "timestamp" : "2026-06-16T00:27:38.490", "fingerprint" : "0b6529c11e8fe69a83d8461eb91f007d0cab7056ecd85494bce7d01b56d1852d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104467/apply", "externalId" : "d24521f2-815d-4184-87d5-f791ca9e386f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "Python, Data analysis", "professionalSkills" : [ "System design", "Process improvement" ], "hardSkillsList" : [ "Integrated test", "Data analysis" ], "hardSkills" : [ { "name" : "Integrated test", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Integrated test, Lab engineering", "majorSkillsList" : [ "Integrated test", "Lab engineering" ], "coreResponsibilities" : "Develop and maintain integrated test procedures, Execute test plans and analyze results, Troubleshoot and debug test failures, Document test procedures and results, Collaborate with engineering teams to improve test processes, Maintain lab equipment and calibration", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Semiconductor manufacturing", "domainList" : [ "semiconductor-manufacturing" ], "domainSpecificKnowledge" : [ "Semiconductor manufacturing" ], "toolProficiency" : [ "Integrated test equipment" ], "documentationSkills" : "Test documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Improve test processes; Reduce test failures", "qualificationsBasic" : "2+ years of experience in a lab or manufacturing environment, Bachelor's degree in Engineering, Chemistry, Physics, or related field, Experience with integrated test equipment", "qualificationsPreferred" : "Experience with Python scripting, Familiarity with data analysis tools, Experience with semiconductor manufacturing processes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. This role is for a highly dynamic and motivated individual that will work with manufacturing engineers to construct instructions and processes for technicians performing test operations. To be successful in this role you will need to define, procure, setup, and maintain test fixtures and test support equipment. You will partner with fixture and harnessing teams to ensure component standardization across the program. You will create the foundational production system standards and processes needed to achieve rate production. Key job responsibilities - Serve as a point of support for test equipment and processes - Create spacecraft hardware test procedures for technicians (standard operating procedures) and unblock issues arising during test operations - Establish and increase the efficiency of environmental test processes to maximize output and enable products to rapidly transition from engineering development to rate production - Identify improvement opportunities and execute initiatives to maintain safe operations, ensure product quality, reduce lead time and increase productivity - Troubleshoot and identify ultimate root cause of issues in test processes and implement corrective actions to prevent recurrence - Establish production processes for 5S, FOD control, tool management, calibration procedures and visual management of production tooling and equipment - Enable production test autonomy by challenging requirements, simplifying work procedures, and automating actions Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Basic Qualifications: - Knowledge of industry standard test automation tools and experience developing product test frameworks - 2+ years in a Space/Aerospace/Military/Automotive hardware testing environment - 1+ years hands-on environmental test experience, vibration, shock, acoustic in compliance with MIL-STD-810, SMC-S-016, or MIL-STD-1540. - 1+ years of project management of technical projects - Demonstrated ability to interpret electrical schematics and Piping and instrumentation drawings. - 1+ years working with Data Acquisition systems Preferred Qualifications: - 4+ years in a Space/Aerospace/Military/Automotive hardware testing environment - Associate's degree in Mechanical or Aerospace engineering, or equivalent - Previous work in one or more of the following disciplines; Structural loads and dynamics, thermal, or manufacturing engineering. - Experience running force limited vibration testing or other environmental test equipment operation experience and basic automation experiences (python or similar) - Understanding of data acquisition systems and instrumentation selection. Experience developing processes and tooling - Experience commissioning and troubleshooting test equipment. Demonstrated ability to scale production rate capability. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $73,900/year in our lowest geographic market up to $165,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Lab Engineer - Integrated Test at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Integrated test, Lab engineering. Develop and maintain integrated test procedures. Execute test plans and analyze results", "postedDate" : "2026-06-14T20:30:19.182", "createdAt" : "2026-06-14T20:30:19.182", "lastUpdated" : "2026-06-16T00:27:38.490", "ingestTimestamp" : "2026-06-14T20:30:19.182", "mongoId" : "68e6b1d070f0b99d58d664db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104467/apply", "salaryAnnualMin" : 73900, "salaryAnnualMax" : 165200, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Integrated test", "Data analysis", "Lab engineering", "System design", "Process improvement", "Semiconductor manufacturing", "Integrated test equipment" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706977fc9a711f0f6f6c4", "title" : "Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference", "company" : "Annapurna Labs (U. S. ) Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:37:41.088", "fingerprint" : "6d5fba1cd93be8677d65d81d66088a7fbd88369e12553d801e8f4550365913c3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3055172/apply", "externalId" : "a9c1ce5f-7c94-45f5-9e38-673a967e8ab9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Machine Learning, LLMs, Pytorch, AWS Neuron, Inferentia, Trainium, DeepSeek, Llama, Stable Diffusion, Vision Transformers", "professionalSkills" : [ "System design", "Architecture design", "Performance tuning", "Model enablement" ], "hardSkillsList" : [ "Model inference", "Distributed inference", "Performance optimization", "Latency optimization", "Throughput optimization" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Model inference", "level" : "intermediate" }, { "name" : "Distributed inference", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Latency optimization", "level" : "intermediate" }, { "name" : "Throughput optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning, Model Inference, AWS Neuron, LLMs", "majorSkillsList" : [ "Machine Learning", "Model Inference", "AWS Neuron", "LLMs" ], "coreResponsibilities" : "Lead distributed inference support, Tune models for performance, Maximize silicon efficiency, Design software solutions, Code software solutions, Drive team efficiencies, Create metrics, Implement automation, Resolve software defects, Build high-impact solutions, Participate in design discussions, Participate in code review, Communicate with stakeholders, Work cross-functionally, Drive business decisions", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; External stakeholders", "domainKnowledge" : "Machine learning accelerators; Cloud-scale machine learning; Large language models; Model inference; Distributed inference; Compiler engineering; Runtime engineering", "domainList" : [ "machine-learning-accelerators", "cloud-scale-machine-learning", "large-language-models", "model-inference", "distributed-inference", "compiler-engineering", "runtime-engineering" ], "domainSpecificKnowledge" : [ "Machine learning accelerators", "Cloud-scale machine learning", "Large language models", "Model inference", "Distributed inference", "Compiler engineering", "Runtime engineering" ], "toolProficiency" : [ "AWS Neuron SDK" ], "continuousLearning" : "Mentorship programme", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years software development, 5+ years system design, Machine learning fundamentals, LLM architecture knowledge, LLM training knowledge, LLM inference knowledge, Model execution optimization, Programming language experience", "qualificationsPreferred" : "5+ years full SDLC, Coding standards experience, Code reviews experience, Source control management experience, Build processes experience, Testing experience, Operations experience, Masters degree in CS, LLM inference performance optimization, Distributed inference libraries experience, vLLM experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and servers that use them. This role is for a software engineer in the Machine Learning Inference Model Enablement and Generality team for AWS Neuron at Annapurna Labs. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond, as well as stable diffusion, vision transformers and many more. The Inference Model Enablement and Generality team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing LLM inference performance for both latency and throughput is highly desired. Experience with distributed inference libraries such as vLLM is a bonus. Key job responsibilities This role will help lead the efforts building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python and ML knowledge are both critical to this role. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you’re always working on the most important stuff. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Experience programming with at least one software programming language Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Masters degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference at Annapurna Labs (U. S. ) Inc.. Skills: Machine Learning, Model Inference, AWS Neuron, LLMs. Lead distributed inference support. Tune models for performance", "postedDate" : "2026-06-13T14:48:20.509", "createdAt" : "2026-06-13T14:48:20.509", "lastUpdated" : "2026-06-15T05:37:41.088", "ingestTimestamp" : "2026-06-13T14:48:20.509", "mongoId" : "68b706977fc9a711f0f6f6c4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3055172/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Model inference", "Distributed inference", "Performance optimization", "Latency optimization", "Throughput optimization", "Mentoring", "Machine Learning", "Model Inference", "AWS Neuron", "LLMs", "System design", "Architecture design", "Performance tuning", "Model enablement", "Machine learning accelerators", "Cloud-scale machine learning", "Large language models", "Compiler engineering", "Runtime engineering", "AWS Neuron SDK" ], "skillCount" : 20, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "integrate test and monitor ml model services across surveymonkey s microservices architecture jobs", "metadata" : { "title" : "integrate test and monitor ml model services across surveymonkey s microservices architecture" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 63581, "totalPages" : 1272, "hasNext" : true, "hasPrevious" : false } }

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