{ "count" : 15192, "data" : [ { "id" : "6a2cafac74d8ee00a09d77ec", "title" : "Senior Project Manager (Autonomous Driving)", "company" : "42dot", "industry" : "PRODUCT", "salary" : { "min" : 8.5E7, "max" : 1.3E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project Manager in South Korea, adjusted for the technology industry, senior experience level, and the Pangyo city tier." }, "location" : "Pangyo (Software Dream Center), South Korea", "locations" : [ "Pangyo (Software Dream Center), South Korea" ], "certifications" : [ "ISO 26262", "ISO 21448", "UN R171", "Type Approval" ], "timestamp" : "2026-06-16T01:11:10.000", "fingerprint" : "c240e17a58b24360e6852f1b6cba733c311a5dd08e0aa37a67daa77d87ec7806", "source" : "ashby", "language" : "ko", "applyUrl" : "https://jobs.ashbyhq.com/42dot/51c7f616-1b14-4942-ac9a-47dbc77a0150/application", "externalId" : "51c7f616-1b14-4942-ac9a-47dbc77a0150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pangyo", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.3947237,127.1115312" } ], "locationText" : "Pangyo, South Korea", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, Software Architecture", "professionalSkills" : [ "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support" ], "hardSkillsList" : [ "Agile development", "Type approval certification", "Global compliance" ], "hardSkills" : [ { "name" : "Agile development", "level" : "intermediate" }, { "name" : "Type approval certification", "level" : "intermediate" }, { "name" : "Global compliance", "level" : "intermediate" } ], "majorSkills" : "Autonomous Driving, Product Management, System Integration, Certification Management", "majorSkillsList" : [ "Autonomous Driving", "Product Management", "System Integration", "Certification Management" ], "coreResponsibilities" : "Lead AD system development, Define AD stack integration scope, Define external platform integration scope, Define milestone, Define MVP, Define roadmap, Define execution plan, Manage ODD requirements, Manage AD function requirements, Manage system requirements, Manage interface requirements, Manage safety requirements, Coordinate Perception organization, Coordinate Planning organization, Coordinate Control organization, Coordinate Localization organization, Coordinate Vehicle Interface organization, Coordinate validation organization, Coordinate quality organization, Coordinate mass production organization, Plan stage-based verification, Operate gate review, Manage backlog, Manage dependency, Manage issue, Manage risk, Manage release, Communicate development status, Communicate schedule, Communicate quality, Communicate risk, Communicate decision points, Analyze global regulations, Reflect trends in roadmap, Reflect trends in strategy, Define product requirements, Specify product, Manage product milestones, Secure product safety, Review product deliverables, Collaborate with engineering, Interface with customers, Interface with partners, Interface with certification bodies, Lead gate reviews, Lead audits, Drive execution across teams, Support technical decisions", "teamCollaboration" : "Cross-functional organizations; Global teams; External technology partners; Vendors; Customers; Partners; Certification bodies; Engineering organizations", "projectManagementSkills" : [ "Agile", "Roadmap", "Milestone", "Risk management", "Release management", "Gate review", "Backlog management", "Dependency management", "Issue management" ], "domainKnowledge" : "Software-defined Vehicle; Autonomous Driving Systems; Vehicle Software; Driver Control Assistance System; Global Type Approval; AD Stack; Vehicle Integration; System Safety; Functional Safety; Autonomous Driving Standards", "domainList" : [ "software-defined-vehicle", "autonomous-driving-systems", "vehicle-software", "driver-control-assistance-system", "global-type-approval", "ad-stack", "vehicle-integration", "system-safety", "functional-safety", "autonomous-driving-standards" ], "domainSpecificKnowledge" : [ "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards" ], "toolProficiency" : [ "JIRA", "Confluence" ], "communicationSkills" : "Stakeholder communication; English communication; Technical discussion; Business negotiation", "documentationSkills" : "Technical documentation; Product specification; Safety strategy documentation", "problemSolvingSkills" : "Technical problem solving; Product perspective interpretation", "outcomesObjectives" : "Achieve global type approval; Lead product to mass production; Secure product safety; Successfully lead certification process", "qualificationsBasic" : "10+ years project/program management, 5+ years leading complex projects, Autonomous driving development experience, SDV development experience, Vehicle software development experience, AI/ML system development experience, SW/external platform integration experience, AD product lifecycle management, Software development process understanding, Requirements management understanding, Interface management understanding, Release management understanding, Global team collaboration, English communication skills, Requirements management tool usage, Technical documentation writing, OEM interface coordination, Tier 1 interface coordination, Global certification body interface coordination", "qualificationsPreferred" : "ADAS/AD mass production experience, Vehicle integration experience, OTA experience, Data pipeline experience, Perception stack understanding, Planning stack understanding, Control stack understanding, Localization stack understanding, Mapping stack understanding, Sensor fusion stack understanding, Vehicle interface stack understanding, SIL/HIL/VIL understanding, Simulation validation understanding, Scenario-based validation understanding, Proving ground validation understanding, Public road test understanding, Systems engineering experience, Software engineering experience, Vehicle safety experience, Certification experience, ISO 26262 application experience, ISO 21448 application experience, UN R171 application experience, AD architecture understanding, Control unit development process understanding, Global certification body audit experience, Type approval acquisition experience, Product perspective problem solving, Global partner negotiation skills, English technical discussion skills", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WE ARE LOOKING FOR THE BEST 42dot Product Management 조직은, SDV(Software-defined Vehicle) 에서 자율주행 프로젝트를 리딩할 역량 있는 Product Manager를 찾고 있습니다. 이 역할은 단순 일정 관리가 아닌 Vehicle Software 기반의 차량 개발을 end-to-end로 리딩하는 포지션입니다. 본 포지션은 Vehicle Engineering 이해를 기반으로 하되, Lv 2~ Lv 4 자율주행 시스템의 요구 사항, 개발, 검증, 릴리즈, 차량 적용까지 전 과정을 통합 관리하며, 소프트웨어 아키텍처 관점에서 프로젝트를 구조화하고 리딩할 수 있는 역량이 요구됩니다. 그리고 DCAS(Driver Control Assistance System)의 글로벌 형식 승인(Type Approval) 인증을 담당하여, 인증 전략 수립부터 기술 문서 작성, 내·외부 이해관계자 조율, 인증 기관 심사 대응까지 인증 프로세스 전반을 end-to-end로 주도합니다. 복잡한 자율주행 기술 스택과 다수의 이해관계자 사이에서 명확한 방향성을 제시하고, 글로벌 기준에 부합하는 고품질 인증 산출물을 성공적으로 이끌어낼 분을 모십니다. Responsibilities - AD Product Manager - AD 시스템 개발의 기획, 개발, 검증, 양산까지 end-to-end 프로젝트 리딩 - 자체 개발 AD stack과 외부 플랫폼 간 개발/통합 범위를 정의하고, milestone, MVP, roadmap 및 실행 계획 수립 - ODD, AD 기능, 시스템 요구사항, interface, safety requirement 등 주요 요구사항 관리 및 유관 조직 alignment - Perception, Planning, Control, Localization, Vehicle Interface, 검증, 품질, 양산 등 다양한 조직 간 cross-functional coordination 수행 - SIL/HIL/VIL, simulation, proving ground, public road test 등 단계별 검증 계획 수립 및 gate review 운영 - JIRA, Confluence 등 Agile 기반 프로젝트 운영을 통해 backlog, dependency, issue, risk, release 관리 - 경영진 및 주요 이해관계자 대상 개발 현황, 일정, 품질, 리스크, 주요 의사결정 사항 커뮤니케이션 - DCAS Certification Manager - 글로벌 자율주행 및 ADAS 법규의 트렌드 분석 및 제품 로드맵·출시 전략 반영 - 인증 법규 요구사항 기반의 제품 기능적/비기능적 요구사항 정의 및 제품 스펙 구체화 - 자율주행 제품의 컨셉, 설계, 검증, 최종 형식 승인 및 양산 출시 전 과정의 마일스톤 관리 - 글로벌 표준에 부합하는 제품 안전성 확보 전략 수립 및 산출물의 검토, 엔지니어링 조직과의 협업 - 고객, 협력사, 글로벌 인증 기관과의 인터페이스 총괄 및 제품 승인을 위한 게이트 리뷰 및 심사 리드 - Agile & Engineering Execution - Agile 개발 환경(JIRA, Confluence 등) 기반 운영 - Milestone 관리 - Gate review 리딩 및 경영진 대상 기술 기반 의사결정 지원 - Cross-functional 조직 간 기술 중재 및 실행 드라이브 Qualifications - Automotive, Mobility, Robotics, AI 또는 Software 산업에서 10년 이상 프로젝트/프로그램 관리 경험 - 대규모 cross-functional 또는 복잡도 높은 기술 개발 프로젝트를 5년 이상 리드한 경험 - 자율주행, SDV, 차량 소프트웨어 또는 AI/ML 기반 시스템 개발 프로젝트 경험 - 자체 개발 SW와 외부 솔루션/플랫폼을 함께 활용하는 환경에서 integration, dependency, risk, milestone 관리 경험 - AD 제품의 기획부터 양산까지 전체 라이프사이클 관리 경험 - 소프트웨어 개발 프로세스, 요구사항 관리, interface 관리, release 관리에 대한 이해 - 글로벌 팀, 외부 기술 파트너 또는 vendor와의 협업 및 영어 기반 커뮤니케이션 능력 - 요구사항 관리 및 개발/협업 도구를 활용한 시스템, 소프트웨어 요구사항 정의와 기술 문서 작성 경험 - OEM, Tier 1, 글로벌 인증 기관 등 다양한 이해관계자와의 인터페이스 조율 및 협업 경험 Preferred Qualifications - ADAS/AD 양산 및 vehicle integration, OTA, data pipeline 관련 프로젝트 경험 - Perception, Planning, Control, Localization, Mapping, Sensor Fusion, Vehicle Interface 등 AD stack에 대한 이해 - SIL/HIL/VIL, simulation, scenario-based validation, proving ground, public road test 등 AD 검증 환경에 대한 이해 - 시스템 및 소프트웨어 엔지니어링, 차량 안전 및 인증 관련 3년 이상 실무 경력 - 기능안전/자율주행 표준(ISO 26262, ISO 21448, UN R171 등) 중 1개 이상의 실무 적용 경험 - AD 아키텍처 및 제어기 개발 프로세스 이해를 바탕으로 한 엔지니어링 조직과의 기술 논의 경험 - 글로벌 인증 기관 Audit 대응 및 차량용 시스템/소프트웨어 법규 승인(Type Approval) 획득 경험 - 기술적 이슈를 제품 관점에서 해석하고, 다수의 이해관계자 사이에서 명확한 방향성을 제안하는 역량 - 글로벌 파트너 및 인증 기관 대상의 원활한 영어 기술 논의 및 비즈니스 협상 능력 Interview Process - 서류전형 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격 - 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. - 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다. Additional Information - 이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.) - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 3개월의 수습기간이 적용될 수 있습니다. ※ 지원 전 아래 내용을 꼭 확인해 주세요. - 42dot이 일하는 방식, 42dot Way 보러가기 → https://42dot.ai/careers/way - 42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 → https://42dot.ai/careers/program", "summaryDescription" : "Senior Project Manager (Autonomous Driving) at 42dot. Skills: Autonomous Driving, Product Management, System Integration, Certification Management. Lead AD system development. Define AD stack integration scope", "createdAt" : "2026-06-14T20:20:42.189", "lastUpdated" : "2026-06-16T01:11:10.000", "ingestTimestamp" : "2026-06-14T20:20:42.189", "mongoId" : "6a2cafac74d8ee00a09d77ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agile development", "Type approval certification", "Global compliance", "Autonomous Driving", "Product Management", "System Integration", "Certification Management", "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support", "Agile", "Roadmap", "Milestone", "Gate review", "Backlog management", "Dependency management", "Issue management", "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards", "ISO 26262", "ISO 21448", "UN R171", "Type Approval", "JIRA", "Confluence" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f6b0", "title" : "Project & Product Management of Autonomous Driving", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 1100000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project & Product Management in the Automotive industry in Beijing, China, adjusted for company size and seniority." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T01:46:38.785", "fingerprint" : "d9ec25ee665eef7e77503620db71e7d3ebffc0707de090e8551651c11cb0f8de", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898617", "externalId" : "898617", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "technicalSkills" : "AI", "professionalSkills" : [ "Product management", "Project management", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up" ], "hardSkillsList" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Hardware development", "level" : "intermediate" }, { "name" : "Vehicle development", "level" : "intermediate" }, { "name" : "Product industrialization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product management, Project management, Autonomous Driving, ADAS", "majorSkillsList" : [ "Product management", "Project management", "Autonomous Driving", "ADAS" ], "coreResponsibilities" : "Lead MB. OS ADAS product & project development, Coordinate project management for MB ADAS projects, Track product & project maturity status, Create transparency about project scopes and timeline, Report project status, Manage resources, Manage risks, Co-work with Domain regards of supplier management, Maintain development project management system, Act as interface between different projects, Provide development project information, Provide technical consultant, Define cross functional ADAS product development system, Define cross functional ADAS product development tools, Own defined product development system, Own defined product development tools, Provide transparency to stakeholders, Drive development of system and processes, Plan project resources, Plan project budget, Align with RD HQ, Align with controlling, Lead resource lifecycle management, Utilize planned resource intelligently, Create project holistic overview, Update project premise handbook, Update project timeline, Communicate cross domainly, Define project scope, Define feature roll-out plan, Monitor implementation status, Defect project risks, Support supplier dialog, Support supplier meetings, Align product strategy, Support project business case evaluation, Support RD related funding, Manage escalation, Manage project delay, Manage resource shortage, Manage critical supplier performance, Steer change requests, Manage change cost, Manage change timeline, Provide technical support, Support surrounding processes, Support demand management, Support test management, Support legal evaluation, Support team matters, Support organization build-up", "teamCollaboration" : "Cross functional teams; Multi-stakeholder management; Diverse business partners", "projectManagementSkills" : [ "Agile", "Scrum", "PMP", "Jira", "Confluence" ], "domainKnowledge" : "Autonomous Driving; ADAS; Vehicle hardware; Vehicle software; Vehicle EE architecture; Vehicle SW architecture; Carline product industrialization; Series production; China-fit product", "domainList" : [ "autonomous-driving", "adas", "vehicle-hardware", "vehicle-software", "vehicle-ee-architecture", "vehicle-sw-architecture", "carline-product-industrialization", "series-production", "china-fit-product" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product" ], "toolProficiency" : [ "MS Office", "PowerPoint", "Excel", "Word", "Jira", "Confluence" ], "communicationSkills" : "Presentation skills", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "Master degree in electrical engineering, software engineering or computer science, 5+ years of experience in software development projects, Excellent skills in multi-stakeholder management, Good skills in conflict management, Advanced MS Office skills, Very good English", "qualificationsPreferred" : "Work experience at OEMs or suppliers, E/E especially ADAS and SW development experience, Working experience in international company, Experience with ADAS components/application, Experience working in an Agile development environment, Experience as scurm master or product owner, Advance knowledge in project management methodologies, PMP certification, Good knowledge & experiences about hardware/software/carline product industrialization, Know-how with vehicle EE architecture, Know-how with SW architecture/development, Familiar with vehicle development process, Experiences in collaboration with Joint venture partner, Experiences in supplier management, Good spirit, knowledge & experiences about AI tools, German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : " Object : Responsible as project lead for MB.OS ADAS product & project development for MB carlines in China market. Leading and coordinating the project management for MB ADAS projects in sense of development & industrialization phase, carline rollout phase and also change management within lifecycle. Responsible for product & project maturity status tracking towards carline SoP. Create transparency about projects scopes and timeline, be responsible for project status report, resources management and risk management, co-work with Domain regards of supplier management, maintain an efficient development project management system within the project lifecycle time Job designation/Field of work: Collaborate with different stakeholders, acting as the interface between different projects and providing necessary development project information and technical consultant for relevant stakeholders . Define and conduct cross functional ADAS product development system and tools for China market development projects. In order to create transparency for project milestone cross domainly, as well as resource distribution . Own the defined product development system and tools and provide the transparency to all stakeholders. Drive continously the development of the system and processes to ensure the high requirement of project management and effienciency . Project resource & budget planning including FTE & VMAT etc and alignment with RD HQ and controlling. Lead the resource lifecycle management according to different project . phases/workloads/milestone in order to ultilize the planned resource in an intelligent and reasonable way. Regular project status report to create project holistic overview for the relevant stakeholders and management . Regular project premise handbook and timeline update and cross domain communication to FO/PO and management . Define project scope and feature roll-out plan and monitoring the implementation status on each milestone . Management escalation by defecting project risks as earlier as possible. Support supplier dialog/meetings with management for critical projects . Product strategy alignment with multi - stakeholders . Support on project business case evaluation including RD related funding . Escalation and risk management: e.g. project delay, resource shortage, critical supplier performance at the delivery milestone etc. Change management during the project lifecycle time: Overall steering the change requests, cost and timeline management for the change implementation . Technical support for Project leaders and function managers with project management knowledge . Support surrounding processes (demand management, test management, legal evaluation) to cover the complete lifecycle of delivering a “China-fit” product. Support on Team matters, and organization build-up . Qualifications: Education: Master degree in electrical engineering, software engineering or computer science, or similar major Experience: Good knowledge/experience about vehicle hardware/software development project . Work experience at OEMs or suppliers for E/E especially ADAS and SW development is a plus. At least 5+ years of experience in software development projects . At least 5+ years of experience in software development projects . Working experience in international company is a plus. Experience with ADAS components/application is plus, e.g. Auto Parking, Driving assistant system, AEB… Experience working in an Agile development environment, Agile/Scrum methodology, experience as scurm master or product owner is plus . Specific Knowledge & requirements: Advance knowledge in terms of methodologies in project management, e.g. project plan, risk analysis, PMP is a plus. Good understanding about hardware & software development & quality methodologies, good knowledge & experiences about hardware/software/carline product industrialization for vehicle series production . Know-how with vehicle EE architecture and SW architecture/development is a plus . Familiar with vehicle development process is an advantage, experiences in collaboration with Joint venture partner or is a plus . Experiences in supplier management is a plus . Excellent skills in multi-stakeholder management and diverse business partners, experiences and good skills in conflict management is need . Advanced MS Office skills in PowerPoint, Excel and Word. Good spirit, knowledge & experiences about AI tools is a plus . Experience with Jira and Confluence or similar PM tools. Self-responsibility with high motivation for moving things forward, team player with team spirit . Leading and drive spirit with excellent communication, interpersonal and presentation skills . Willingness to travel inside China and foreign countries. Open minded for taking over challenges & responsibility with resilience . Very good English. German is a plus. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Project & Product Management of Autonomous Driving at Mercedes-Benz Group China Ltd.. Skills: Product management, Project management, Autonomous Driving, ADAS. Lead MB. OS ADAS product & project development. Coordinate project management for MB ADAS projects", "createdAt" : "2026-06-14T19:19:36.333", "lastUpdated" : "2026-06-16T01:46:38.785", "ingestTimestamp" : "2026-06-14T19:19:36.333", "mongoId" : "6a191e7758b93c861e39f6b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization", "Leadership", "Product management", "Project management", "Autonomous Driving", "ADAS", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up", "Agile", "Scrum", "PMP", "Jira", "Confluence", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product", "MS Office", "PowerPoint", "Excel", "Word" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677a05", "title" : "Working Student Autonomous Driving Research", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level working student in the automotive industry in Sindelfingen, Germany, adjusted for company size and industry." }, "location" : "Germany-Baden-Württemberg-Sindelfingen", "locations" : [ "Germany-Baden-Württemberg-Sindelfingen", "Kolumbusstr. 19 21, , Sindelfingen" ], "timestamp" : "2026-06-15T03:31:20.398", "fingerprint" : "5939c9fb5ac3cab3645fe55e3604a4f0dce1a64f5784e636da86777b73dc4848", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=888850", "externalId" : "888850", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sindelfingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.7084162,9.0035455" } ], "locationText" : "Sindelfingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "minimumEducation" : "Master's", "technicalSkills" : "Python, C++, Linux, Convolutional Neural Networks, Vision Transformers, Diffusion Networks, Deep learning, Computer Vision, Foundation Models, Generative AI, LLM, VLM, VLAM, Docker", "professionalSkills" : [ "Data processing", "Model training", "Validation", "Literature research", "Algorithm evaluation", "Problem-solving" ], "hardSkillsList" : [ "Automated dataset preparation", "Coding framework development", "Data processing", "Model training", "Validation", "Literature research", "Algorithm analysis", "Performance evaluation" ], "softSkillsList" : [ "Motivation", "Independence" ], "hardSkills" : [ { "name" : "Automated dataset preparation", "level" : "intermediate" }, { "name" : "Coding framework development", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Validation", "level" : "intermediate" }, { "name" : "Literature research", "level" : "intermediate" }, { "name" : "Algorithm analysis", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Motivation" }, { "name" : "Independence" } ], "majorSkills" : "Autonomous Driving, Neural Networks, Generative Models, Data Generation", "majorSkillsList" : [ "Autonomous Driving", "Neural Networks", "Generative Models", "Data Generation" ], "coreResponsibilities" : "Prepare datasets, Contribute to coding framework, Conduct literature research, Analyze algorithm performance, Evaluate algorithm performance, Participate in meetings, Discuss project progress, Share insights, Support problem-solving", "teamCollaboration" : "Diverse team; International colleagues", "domainKnowledge" : "Autonomous driving; Urban navigation; Neural network architectures; Generative models; End-to-end driving systems; Foundation Models; Generative AI; LLM; VLM; VLAM", "domainList" : [ "autonomous-driving", "urban-navigation", "neural-network-architectures", "generative-models", "end-to-end-driving-systems", "foundation-models", "generative-ai", "llm", "vlm", "vlam" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Urban navigation", "Neural network architectures", "Generative models", "End-to-end driving systems", "Foundation Models", "Generative AI", "LLM", "VLM", "VLAM" ], "toolProficiency" : [ "Pytorch", "Docker" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Literature research", "innovationCreativity" : "Novel neural network architectures; Pioneering methods; Innovative approaches", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "6-12 months duration", "outcomesObjectives" : "Enhance safety; Enhance reliability; Improve performance; Improve adaptability; Navigate complex scenarios", "qualificationsBasic" : "Master’s degree in quantitative field, Working student position, English and/or German fluency, Object-oriented programming skills, Linux familiarity, Convolutional Neural Networks understanding, Vision Transformers understanding, Diffusion Networks understanding, Communication skills in remote environment, Ability to think ahead, Independence", "qualificationsPreferred" : "Deep learning frameworks familiarity, Computer Vision familiarity, Foundation Models familiarity, Generative AI familiarity, LLM / VLM/VLAM experience, Docker experience, German language proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Are you passionate about robots taking over the world? Then look no further! We are constantly looking for highly motivated students to join our autonomous car research team in Stuttgart, Germany in the following area: Navigating urban areas presents unique challenges for autonomous vehicles, requiring sophisticated algorithms and custom-generated data to ensure safety and reliability. Within the publicly funded projects STADT:up (stadtup-online.de) and nxtAIM (nxtaim.de), we are dedicated to developing advanced algorithms to address these challenges. Our research focuses on developing novel neural network architectures that enhance the safety and reliability of autonomous vehicles in urban areas. In addition to that, we are pioneering methods to generate new data, which is vital for training and optimizing our models. These innovative approaches aim to improve the performance and adaptability of autonomous driving systems, enabling them to navigate complex urban scenarios safely and efficiently. You can look forward to working with a diverse team of international colleagues and enjoying good coffee as well as the occasional cake (we love it when you bring one to share!). The tasks of the working student will include: Prepare large-scale automated driving datasets for training and evaluation purposes. Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems. Conduct literature research to familiarize yourself with the latest advancements in autonomous driving and generative models Analyze and evaluate algorithm performance using public and in-house datasets, identifying strengths and areas for improvement Participate in regular meetings to discuss project progress, share insights, and support collaborative problem-solving The activity can begin from Mai 2026. Minimum Skills Required: Pursuing a Master’s degree in a highly quantitative field such as Computer Science, Physics, Mathematics, Electrical Engineering or adjacent fields Looking for a working student position Fluency in English and/or German Strong programming skills in an object-oriented programming language such as Python/ C++ Familiarity with Linux Understanding of Convolutional Neural Networks/Vision Transformers/Diffusion Networks Strong communication skills in a partially remote work environment Ability to think ahead / Independence Nice to haves but not required: Familiarity with deep learning frameworks such as Pytorch Familiarity with Computer Vision, Foundation Models, Generative AI Familiarity with LLM / VLM/VLAM Experience with Docker German language Additional information: The position is based at our research lab in Sindelfingen (partial remote work possible) Ideally candidates are available for a duration of 6-12 months We only consider applications that are attached by at least a curriculum vitae, a motivation letter as well as a recent transcript of records For further information, please feel free to contact us via email We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working Student Autonomous Driving Research at Mercedes-Benz AG. Skills: Autonomous Driving, Neural Networks, Generative Models, Data Generation. Prepare datasets. Contribute to coding framework", "createdAt" : "2026-06-14T01:07:48.547", "lastUpdated" : "2026-06-15T03:31:20.398", "ingestTimestamp" : "2026-06-14T01:07:48.547", "mongoId" : "69ce5e3b9bc74574cb677a05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Automated dataset preparation", "Coding framework development", "Data processing", "Model training", "Validation", "Literature research", "Algorithm analysis", "Performance evaluation", "Motivation", "Independence", "Autonomous Driving", "Neural Networks", "Generative Models", "Data Generation", "Algorithm evaluation", "Problem-solving", "Autonomous driving", "Urban navigation", "Neural network architectures", "Generative models", "End-to-end driving systems", "Foundation Models", "Generative AI", "LLM", "VLM", "VLAM", "Pytorch", "Docker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f860", "title" : "Section Lead, Autonomous Driving Toolchain & Platform", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Technology", "salary" : { "min" : 650000.0, "max" : 1000000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Section Lead in Autonomous Driving Toolchain & Platform in Beijing, China, adjusted for industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower 8, Wangjing Street Chaoyang District, , Beijing" ], "timestamp" : "2026-06-15T10:00:41.603", "fingerprint" : "feb8eaf8d87d096e3631c8d2214ab92eb45c1051adc0580d5aee7e13aa8768b4", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=876833", "externalId" : "876833", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "state" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9011168,116.4210134" } ], "locationText" : "Beijing, Beijing, China", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "C, C++, Java, JavaScript, Python, Machine Learning, Artificial Intelligence, Gen AI, Cloud computing, Microservices", "professionalSkills" : [ "IT solutions delivery", "Supplier management", "Project management", "Team management", "People management", "Budget control", "Resource planning" ], "hardSkillsList" : [ "Data mining", "Algorithm transplanting", "Software engineering" ], "softSkillsList" : [ "Leadership", "Mentoring", "Conflict management" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Algorithm transplanting", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Conflict management" } ], "majorSkills" : "Autonomous Driving, Toolchain & Platform, DevOps, Cloud-based platform", "majorSkillsList" : [ "Autonomous Driving", "Toolchain & Platform", "DevOps", "Cloud-based platform" ], "coreResponsibilities" : "Lead Autonomous Driving Toolchain & Platform section, Deliver IT solutions on Automated Driving System area, Enable ADAS/AD development and testing, Design cloud-based solutions, Deliver micro-service-oriented solutions, Deliver partner agnostic solutions, Deliver data driven solutions, Observe markets and competitors, Identify development potentials, Ensure system competitiveness, Cooperate with local and global IT, Act as bridge between Germany and local RD, Establish cooperation model with customers, Gear up communication process, Provide analyses to customers, Provide recommendations to customers, Provide presentation to customers, Provide demonstration to customers, Provide advice to customers, Drive team transformation, Build up internal development competence, Ramp up ADAS knowledge, Ramp up interior sensing knowledge, Ramp up vital sensing knowledge, Incubate system development competency, Offer feedback for team members, Provide guidance to team members, Provide coaching to team members, Report team member performance, Report team member progression, Report team member training needs, Report team member disciplinary issues, Follow up on employee surveys, Manage team building topics, Create environment with trust, Create environment with respect, Create environment with belonging, Deliver ADAS dev-test platform maintenance, Support new dev-test platform development, Manage new dev-test platform projects, Enhance local development competence, Bring transparency to team, Breakdown company strategy to employees, Define team mission, Define team initiatives, Define team tasks, Achieve department OKR, Setup team regular communication, Setup team shop floor meeting, Support team member development plans, Guide team members for decision making, Monitor team performance, Ensure quality of team delivery, Facilitate resource planning, Facilitate budget control, Support China local side for global strategy, Realize needed actions in China, Bring RD China consideration back to HQ, Communicate with CoC partners, Bring impact to Germany from China, Introduce central application to local needs, Bridge local business units with HQ, Coordinate with other IT departments, Drive co-creative innovation, Share IT knowledge, Share business process, Lead IT RD owned topics, Continuously update IT knowledge, Continuously update RD business process knowledge, Ensure IT RD security, Ensure IT RD governance, Follow standard company compliance, Support IT security guidelines, Ensure processes are compliance, Provide Audit support", "teamCollaboration" : "Local and global IT; RD stakeholders; Central competence Germany; Local RD business partners; Core customers; MB RD China; Other related IT departments", "projectManagementSkills" : [ "Agile", "SAFe", "Project management" ], "domainKnowledge" : "Autonomous Driving; ADAS; Automated Driving System; Data-driven development; Micro-service-oriented; Partner agnostic; Automotive-grade chips; Data closed-loop system; Data mining; Data labeling; Model training; Model deployment; Machine Learning; Data; Artificial Intelligence; AI/Gen AI model; AD/ADAS security; Data compliance; Software engineering principles; Software development lifecycle; IT RD security; Company compliance", "domainList" : [ "autonomous-driving", "adas", "automated-driving-system", "data-driven-development", "micro-service-oriented", "partner-agnostic", "automotive-grade-chips", "data-closed-loop-system", "data-mining", "data-labeling", "model-training", "model-deployment", "machine-learning", "data", "artificial-intelligence", "ai-gen-ai-model", "ad-adas-security", "data-compliance", "software-engineering-principles", "software-development-lifecycle", "it-rd-security", "company-compliance" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Automated Driving System", "Data-driven development", "Micro-service-oriented", "Partner agnostic", "Automotive-grade chips", "Data closed-loop system", "Data mining", "Data labeling", "Model training", "Model deployment", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "Software engineering principles", "Software development lifecycle", "IT RD security", "Company compliance" ], "toolProficiency" : [ "BEV perception", "DriveGPT", "Orin", "Xavier", "TI TDA4" ], "communicationSkills" : "Analyses; Recommendations; Presentation; Demonstration; Advice; Fluent English; Fluent Chinese", "continuousLearning" : "Keep learning; Continuously updating knowledge", "innovationCreativity" : "Co-creative innovation", "problemSolvingSkills" : "Conflict management", "outcomesObjectives" : "Enable ADAS/AD development and testing; Ensure competitiveness of MB systems; Improve engagement from beginning phase; Ensure team members best delivery; Achieve department OKR; Make sure quality of team delivery; Bring impact to Germany from China; Create value for company", "qualificationsBasic" : "5+ years auto-driving backend platform experience, 5+ years coding experience, Bachelor degree or above", "qualificationsPreferred" : "German is bonus point", "remoteFriendly" : false, "rawDescription" : "Objective of job • Lead “Autonomous Driving Toolchain & Platform” section. Be responsible for IT solutions delivery on Automated Driving System area, enabling ADAS/AD development and testing etc., good understanding of MB company strategies and be able to breakdown the strategy from department level to employees, promote lean-agile mindsets on team level, always keep IT RD security and company compliance in mind. • Delivery: Focus on our business partner’s requirements based on Product Orientation, design and deliver cloud-based, micro-service-oriented, partner agnostic, data driven development and testing solutions together with RD partner. Observe the Chinese and global markets and competitors, identify development potentials and ensure competitiveness of MB systems. • Communication & Cooperation: Good cooperation with local and global IT, RD stakeholders. Acting as a bridge between central of competence from Germany and local RD business partners, bring transparency to both sides and improve engagement from the beginning phase. Establish reliable and aligned cooperation model with core customers and gear up the communication process. Acting as a key window facing client, focusing on providing analyses, recommendations, presentation, demonstration, and advice to customers. • Team Management: Assist supervisor to drive team transformation, build up internal development competence, ramp up ADAS, interior sensing and vital sensing knowledges, incubate in depth system development competency. • People Management: As section lead, offer professional and constructive feedback for team members development, provide guidance and coaching to ensure the team members best delivery, report to supervisor on team member’s performance, progression, training needs and disciplinary issues, assist supervisor on section team employee survey follow-ups and team building topics, create and maintain an environment with trust, respect, and a sense of belonging among team members. Job designation • Autonomous Driving Enablement solutions delivery -Previous ADAS dev-test platform maintenance. -New dev-test platform development support and knowledge ramp up. -New dev-test platform project management and delivery together with MB RD China. -Support, drive and enhance local development competence to delivery best AD services with MB RD China business partner. • Section team management -Bring transparency to the team, and breakdown company strategy and management request to employees, and define team mission, initiatives, and tasks accordingly. -Together with team members achieve department OKR. -Setup and maintain team regular communication and shop floor meeting. -Support team member individual development plan. -Engage and guide team members for decision making. -Monitor team performance and make sure the quality of team delivery. -Facilitate resource planning and budget control. • Be involved in CoC HQ strategy and regular communication from management level. -Support from China local side as global RD and IT strategy required. -Understand and breakdown the strategy from HQ and realize the needed actions in China. -Bring RD China’s consideration back to the HQ for being involved in every beginning phase. -Close communicate with CoC partners for shared RD IT solution for Germany and China. -Based on IT RD strategy bring the impact to Germany from China. -Be aware of central RD methodologies, concepts, and toolchains, introduce central application to meet local needs and bridge local business units with HQ for customization. • Cross business cooperation within MBGC IT departments -Coordinate and cooperate with other related IT departments. -Drive co-creative innovation to create value for our company in IT area. -Share IT knowledge and business process for IT solution integration. -Be responsible for leading IT RD owned topics and cooperate with other departments. -Keep learning and continuously updating knowledge on IT technology, RD business process. • Ensure IT RD security and governance based on China CCSL and company requirements. Follow standard company compliance requirements. -Follow, support and ensure all demands meet the IT security guidelines -Ensuring processes are compliance and provide Audit support. Qualification •Education: -Bachelor degree or above at Computer Science, Intelligent Science, EE, Information Engineering related majors. •Experience: -5+ years auto-driving backend platform experience with focus on data-driven development in the field of AD/ADAS for series passenger car projects. Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving; Experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4); Participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -5+ years coding experience on AD/ADAS areas, familiar with C, C++, Java, Java script, Python etc. -Deep understanding about global & local competitor’s AD/ADAS solutions and toolchain, system & function release process and relevant China local & international suppliers. -Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving, experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4), participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -Experience on cloud computing, cloud-based platform architectures, CI/CD and DevOps. -Deep understanding and experience on Machine Learning, Data, Artificial Intelligence, AI/Gen AI model. -Familiar with AD/ADAS related security and data compliance. -Solid SW engineering experience, proficient in software engineering principles, software development lifecycle, project management, supplier management. -Good knowledge of Agile, SAFe, ASPICE. -Strong self-motivation, team motivation ability. -Strong ownership, result driven, willing to win. -Big picture thinking and good insight. -Excellent cross-functional communication, coordination, and conflict management skills. -Fluent in English and Chinese, German is bonus point. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Section Lead, Autonomous Driving Toolchain & Platform at Mercedes-Benz Group China Ltd.. Skills: Autonomous Driving, Toolchain & Platform, DevOps, Cloud-based platform. Lead Autonomous Driving Toolchain & Platform section. Deliver IT solutions on Automated Driving System area", "createdAt" : "2026-06-14T08:44:26.677", "lastUpdated" : "2026-06-15T10:00:41.603", "ingestTimestamp" : "2026-06-14T08:44:26.677", "mongoId" : "6a191e7758b93c861e39f860", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data mining", "Algorithm transplanting", "Software engineering", "Leadership", "Mentoring", "Conflict management", "Autonomous Driving", "Toolchain & Platform", "DevOps", "Cloud-based platform", "IT solutions delivery", "Supplier management", "Project management", "Team management", "People management", "Budget control", "Resource planning", "Agile", "SAFe", "ADAS", "Automated Driving System", "Data-driven development", "Micro-service-oriented", "Partner agnostic", "Automotive-grade chips", "Data closed-loop system", "Data labeling", "Model training", "Model deployment", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "Software engineering principles", "Software development lifecycle", "IT RD security", "Company compliance", "BEV perception", "DriveGPT", "Orin", "Xavier", "TI TDA4" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677b0f", "title" : "Section Lead, Autonomous Driving Toolchain & Platform", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Technology", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Section Lead in Autonomous Driving Toolchain & Platform in Beijing, China, adjusted for industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower 8, Wangjing Street Chaoyang District, , Beijing" ], "timestamp" : "2026-06-15T08:44:56.414", "fingerprint" : "40e6bf914074d3a1f83f99a9ef91470180e6aa8ee894b85198cb8afbc2230da4", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=876833", "externalId" : "876833", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "state" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9011168,116.4210134" } ], "locationText" : "Beijing, Beijing, China", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "C, C++, Java, Java script, Python, Machine Learning, Data, Artificial Intelligence, Gen AI model, Cloud computing, Cloud-based platform architectures, CI/CD, DevOps", "professionalSkills" : [ "Supplier management", "Project management" ], "hardSkillsList" : [ "Software 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between Germany CoC, Act as bridge to local RD business partners, Bring transparency to both sides, Improve engagement from beginning phase, Establish cooperation model with core customers, Gear up communication process, Provide analyses to customers, Provide recommendations to customers, Provide presentation to customers, Provide demonstration to customers, Provide advice to customers, Drive team transformation, Build up internal development competence, Ramp up ADAS knowledges, Ramp up interior sensing knowledges, Ramp up vital sensing knowledges, Incubate system development competency, Offer feedback for team members development, Provide guidance to team members, Provide coaching to team members, Ensure team members best delivery, Report team member performance, Report team member progression, Report team member training needs, Report team member disciplinary issues, Follow up on employee surveys, Manage team building topics, Create environment with trust, Create environment with respect, Create environment with belonging, Maintain dev-test platform, Support new dev-test platform development, Manage new dev-test platform projects, Enhance local development competence, Deliver best AD services, Breakdown company strategy to employees, Define team mission, Define team initiatives, Define team tasks, Achieve department OKR, Setup team regular communication, Setup team shop floor meeting, Support team member individual development, Guide team members for decision making, Monitor team performance, Ensure quality of team delivery, Facilitate resource planning, Facilitate budget control, Participate in CoC HQ strategy, Communicate with management level, Support global RD and IT strategy, Breakdown HQ strategy, Realize needed actions in China, Bring RD China consideration back to HQ, Communicate with CoC partners, Share RD IT solution, Bring impact to Germany from China, Be aware of central RD methodologies, Be aware of central RD concepts, Be aware of central RD toolchains, Introduce central application, Bridge local business units with HQ, Coordinate with other IT departments, Drive co-creative innovation, Share IT knowledge, Share business process, Lead IT RD owned topics, Keep learning IT technology, Update knowledge on IT technology, Update knowledge on RD business process, Ensure IT RD security, Ensure IT RD governance, Follow standard company compliance, Support IT security guidelines, Ensure demands meet IT security guidelines, Ensure processes are compliance, Provide Audit support", "teamCollaboration" : "Local and global IT; RD stakeholders; Germany CoC; Local RD business partners; Core customers; MBGC IT departments", "projectManagementSkills" : [ "Agile", "SAFe", "Project management" ], "domainKnowledge" : "Autonomous Driving; ADAS; Data mining; Algorithm transplanting; Automotive-grade chips; Data closed-loop system; BEV perception; DriveGPT; AD/ADAS solutions; AD/ADAS toolchain; System release process; Function release process; China local suppliers; International suppliers; Machine Learning; Data; Artificial Intelligence; AI/Gen AI model; AD/ADAS security; Data compliance; IT RD security; Company compliance; China CCSL", "domainList" : [ "autonomous-driving", "adas", "data-mining", "algorithm-transplanting", "automotive-grade-chips", "data-closed-loop-system", "bev-perception", "drivegpt", "ad-adas-solutions", "ad-adas-toolchain", "system-release-process", "function-release-process", "china-local-suppliers", "international-suppliers", "machine-learning", "data", "artificial-intelligence", "ai-gen-ai-model", "ad-adas-security", "data-compliance", "it-rd-security", "company-compliance", "china-ccsl" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Data mining", "Algorithm transplanting", "Automotive-grade chips", "Data closed-loop system", "BEV perception", "DriveGPT", "AD/ADAS solutions", "AD/ADAS toolchain", "System release process", "Function release process", "China local suppliers", "International suppliers", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "IT RD security", "Company compliance", "China CCSL" ], "toolProficiency" : [ "Orin", "Xavier", "TI TDA4" ], "communicationSkills" : "Analyses; Recommendations; Presentation; Demonstration; Advice", "continuousLearning" : "Keep learning; Continuously updating knowledge", "innovationCreativity" : "Co-creative innovation", "qualificationsBasic" : "5+ years auto-driving backend platform experience, 5+ years coding experience on AD/ADAS areas, Bachelor degree or above", "qualificationsPreferred" : "German is bonus point", "remoteFriendly" : false, "rawDescription" : "Objective of job • Lead “Autonomous Driving Toolchain & Platform” section. Be responsible for IT solutions delivery on Automated Driving System area, enabling ADAS/AD development and testing etc., good understanding of MB company strategies and be able to breakdown the strategy from department level to employees, promote lean-agile mindsets on team level, always keep IT RD security and company compliance in mind. • Delivery: Focus on our business partner’s requirements based on Product Orientation, design and deliver cloud-based, micro-service-oriented, partner agnostic, data driven development and testing solutions together with RD partner. Observe the Chinese and global markets and competitors, identify development potentials and ensure competitiveness of MB systems. • Communication & Cooperation: Good cooperation with local and global IT, RD stakeholders. Acting as a bridge between central of competence from Germany and local RD business partners, bring transparency to both sides and improve engagement from the beginning phase. Establish reliable and aligned cooperation model with core customers and gear up the communication process. Acting as a key window facing client, focusing on providing analyses, recommendations, presentation, demonstration, and advice to customers. • Team Management: Assist supervisor to drive team transformation, build up internal development competence, ramp up ADAS, interior sensing and vital sensing knowledges, incubate in depth system development competency. • People Management: As section lead, offer professional and constructive feedback for team members development, provide guidance and coaching to ensure the team members best delivery, report to supervisor on team member’s performance, progression, training needs and disciplinary issues, assist supervisor on section team employee survey follow-ups and team building topics, create and maintain an environment with trust, respect, and a sense of belonging among team members. Job designation • Autonomous Driving Enablement solutions delivery -Previous ADAS dev-test platform maintenance. -New dev-test platform development support and knowledge ramp up. -New dev-test platform project management and delivery together with MB RD China. -Support, drive and enhance local development competence to delivery best AD services with MB RD China business partner. • Section team management -Bring transparency to the team, and breakdown company strategy and management request to employees, and define team mission, initiatives, and tasks accordingly. -Together with team members achieve department OKR. -Setup and maintain team regular communication and shop floor meeting. -Support team member individual development plan. -Engage and guide team members for decision making. -Monitor team performance and make sure the quality of team delivery. -Facilitate resource planning and budget control. • Be involved in CoC HQ strategy and regular communication from management level. -Support from China local side as global RD and IT strategy required. -Understand and breakdown the strategy from HQ and realize the needed actions in China. -Bring RD China’s consideration back to the HQ for being involved in every beginning phase. -Close communicate with CoC partners for shared RD IT solution for Germany and China. -Based on IT RD strategy bring the impact to Germany from China. -Be aware of central RD methodologies, concepts, and toolchains, introduce central application to meet local needs and bridge local business units with HQ for customization. • Cross business cooperation within MBGC IT departments -Coordinate and cooperate with other related IT departments. -Drive co-creative innovation to create value for our company in IT area. -Share IT knowledge and business process for IT solution integration. -Be responsible for leading IT RD owned topics and cooperate with other departments. -Keep learning and continuously updating knowledge on IT technology, RD business process. • Ensure IT RD security and governance based on China CCSL and company requirements. Follow standard company compliance requirements. -Follow, support and ensure all demands meet the IT security guidelines -Ensuring processes are compliance and provide Audit support. Qualification •Education: -Bachelor degree or above at Computer Science, Intelligent Science, EE, Information Engineering related majors. •Experience: -5+ years auto-driving backend platform experience with focus on data-driven development in the field of AD/ADAS for series passenger car projects. Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving; Experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4); Participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -5+ years coding experience on AD/ADAS areas, familiar with C, C++, Java, Java script, Python etc. -Deep understanding about global & local competitor’s AD/ADAS solutions and toolchain, system & function release process and relevant China local & international suppliers. -Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving, experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4), participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -Experience on cloud computing, cloud-based platform architectures, CI/CD and DevOps. -Deep understanding and experience on Machine Learning, Data, Artificial Intelligence, AI/Gen AI model. -Familiar with AD/ADAS related security and data compliance. -Solid SW engineering experience, proficient in software engineering principles, software development lifecycle, project management, supplier management. -Good knowledge of Agile, SAFe, ASPICE. -Strong self-motivation, team motivation ability. -Strong ownership, result driven, willing to win. -Big picture thinking and good insight. -Excellent cross-functional communication, coordination, and conflict management skills. -Fluent in English and Chinese, German is bonus point. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Section Lead, Autonomous Driving Toolchain & Platform at Mercedes-Benz Group China Ltd.. Skills: Autonomous Driving, Toolchain, Platform. Lead Autonomous Driving Toolchain & Platform section. Deliver IT solutions on Automated Driving System area", "createdAt" : "2026-06-14T01:09:14.399", "lastUpdated" : "2026-06-15T08:44:56.414", "ingestTimestamp" : "2026-06-14T01:09:14.399", "mongoId" : "69ce5e3b9bc74574cb677b0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software engineering principles", "Software development lifecycle", "Leadership", "Conflict management", "Autonomous Driving", "Toolchain", "Platform", "Supplier management", "Project management", "Agile", "SAFe", "ADAS", "Data mining", "Algorithm transplanting", "Automotive-grade chips", "Data closed-loop system", "BEV perception", "DriveGPT", "AD/ADAS solutions", "AD/ADAS toolchain", "System release process", "Function release process", "China local suppliers", "International suppliers", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "IT RD security", "Company compliance", "China CCSL", "Orin", "Xavier", "TI TDA4" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e370f0b99d589b3734", "title" : "Heavy Duty Equipment Technician", "company" : "Côté Gold", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Heavy Duty Equipment Technician in Gogama, Canada, adjusted for the manufacturing industry." }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "certifications" : [ "Certificate of Qualification in Ontario" ], "timestamp" : "2026-06-15T08:00:12.548", "fingerprint" : "3d551e88ccc1dcd27dcd703fc7c352c2c52c8b419895f2881fd723522ca8c3df", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=56928", "externalId" : "56928", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "technicalSkills" : "Heavy equipment repair, Troubleshooting, Equipment maintenance, Computer applications, Maintenance softwares", "professionalSkills" : [ "Process improvement", "Best practices", "Operational excellence", "Continuous improvement", "Risk assessment", "Technical reporting", "Operational reliability", "Shift deliverables", "Team expertise", "Effective communication" ], "hardSkillsList" : [ "Equipment repair", "Equipment troubleshooting", "Equipment maintenance", "Equipment overhaul", "Equipment adjustment", "Equipment testing", "Equipment lubrication", "Routine maintenance", "Service attachments", "Service working tools", "Operate equipment", "Technical reporting", "Shift coordination", "Team communication", "Equipment logs", "Shift logs" ], "softSkillsList" : [ "Mentoring", "Teamwork" ], "hardSkills" : [ { "name" : "Equipment repair", "level" : "intermediate" }, { "name" : "Equipment troubleshooting", "level" : "intermediate" }, { "name" : "Equipment maintenance", "level" : "intermediate" }, { "name" : "Equipment overhaul", "level" : "intermediate" }, { "name" : "Equipment adjustment", "level" : "intermediate" }, { "name" : "Equipment testing", "level" : "intermediate" }, { "name" : "Equipment lubrication", "level" : "intermediate" }, { "name" : "Routine maintenance", "level" : "intermediate" }, { "name" : "Service attachments", "level" : "intermediate" }, { "name" : "Service working tools", "level" : "intermediate" }, { "name" : "Operate equipment", "level" : "intermediate" }, { "name" : "Technical reporting", "level" : "intermediate" }, { "name" : "Shift coordination", "level" : "intermediate" }, { "name" : "Team communication", "level" : "intermediate" }, { "name" : "Equipment logs", "level" : "intermediate" }, { "name" : "Shift logs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Teamwork" } ], "majorSkills" : "Heavy equipment repair, Troubleshooting, Maintenance", "majorSkillsList" : [ "Heavy equipment repair", "Troubleshooting", "Maintenance" ], "coreResponsibilities" : "Repair mobile heavy-duty equipment, Troubleshoot mobile heavy-duty equipment, Adjust mobile heavy-duty equipment, Overhaul mobile heavy-duty equipment, Maintain mobile heavy-duty equipment, Diagnose faults using testing equipment, Repair equipment, Replace defective parts, Test repaired equipment, Clean equipment, Lubricate equipment, Perform routine maintenance, Service attachments, Service working tools, Operate equipment safely, Maintain equipment, Use equipment per standards, Commit to continuous learning, Improve technician skills, Watch for inefficiencies, Watch for problems, Share problems with others, Share inefficiencies with others, Troubleshoot problems collaboratively, Resolve problems collaboratively, Consider risk dimensions, Provide technical reporting, Work collaboratively with others, Deliver operational reliability, Coordinate with team members, Meet shift deliverables, Mentor new team members, Train new team members, Participate in teams, Lend expertise to team, Communicate effectively, Ensure equipment logs are accurate, Ensure shift logs are accurate, Communicate deficiencies, Participate in multi-disciplinary teams", "teamCollaboration" : "Work collaboratively with planning; Coordinate with team members; Work collaboratively to troubleshoot; Work collaboratively to resolve; Participate in multi-disciplinary teams", "domainKnowledge" : "Open pit mining; Heavy-duty equipment", "domainList" : [ "open-pit-mining", "heavy-duty-equipment" ], "domainSpecificKnowledge" : [ "Open pit mining", "Heavy-duty equipment" ], "toolProficiency" : [ "CAT SIS", "CAT ET", "CAT HIS", "MineStar" ], "communicationSkills" : "Effective communication", "documentationSkills" : "Technical reporting; Equipment logs; Shift logs", "continuousLearning" : "Continuous learning; Improve skills", "problemSolvingSkills" : "Troubleshoot; Diagnose faults; Resolve problems", "specialRequirements" : "Work on mine site, Work in milling operation", "outcomesObjectives" : "Deliver execution of integrated plan; Deliver execution of schedule; Deliver operational reliability; Meet shift deliverables", "qualificationsBasic" : "College diploma heavy equipment technician, Completed apprenticeship required, 5 years related work experience, Valid Ontario driver’s license", "qualificationsPreferred" : "Certificate of Qualification in Ontario, Previous experience in open pit mining, Proficiency in computer applications, Proficiency in maintenance softwares, Knowledge of SIS for CAT, Knowledge of ET for CAT, Knowledge of HIS for CAT, Experience with MineStar", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve the processes of today Define the best practices of tomorrow At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Heavy Duty Equipment Technician The Heavy Duty Equipment Technician safely repairs, troubleshoots, adjusts, overhauls and maintains mobile heavy-duty equipment throughout the mine and milling operation. The Heavy Duty Equipment Technicians work collaboratively with the planning and team to deliver execution of the integrated plan and schedule. Key Responsibilities Area 1: Safely repairs, troubleshoots, adjusts, overhauls and maintains mobile heavy-duty equipment throughout the mine and milling operation. Diagnose faults or malfunctions using computerized and other testing equipment to determine extent of repair required. Adjust equipment and repair or replace defective parts, components or systems, using hand and power tools. Test repaired equipment for proper performance and to ensure that work meets manufacturers' specifications. Clean, lubricate and perform other routine maintenance work on equipment. Service attachments and working tools. Operate equipment safely. Ensure all equipment is maintained and used in accordance with company health and safety standards. Area 2: Operational excellence. Commit to continuous learning and improvement. Continually seek to improve your skills as a heavy duty equipment technician. Watch for inefficiencies or problems. Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost) Provide accurate and consistent technical reporting. Being stake holder of the Cote Gold golden rules. Area 3: Work collaboratively with others to deliver operational reliability. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves minimum qualifications, formal education, certifications or equivalents College diploma in heavy equipment technician or another related field. Certificate of Qualification in Ontario is preferred. Completed apprenticeship is required. Work experience - Nature & Length A minimum of 5 years of related work experience. Previous experience in open pit mining is considered an asset. Additional qualifications - Competency requirements Proficiency in computer applications and maintenance softwares. A valid Ontario driver’s license is required. Ability to communicate effectively. Ability to work independently and in team settings. Ability to work effectively under pressure. Knowledge of Service Information System (SIS), Electronic Tehcnician (ET), Hydraulic Information System (HIS) for CAT equipment is an asset. Experience with MineStar is an asset What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance I AMGOLD is a leading mid-tier gold producer and developer based in Canada, with operating mines in North America and West Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. At IAMGOLD we believe that by engaging, empowering and supporting each other, we can achieve extraordinary performance. Our core values guide us; we are driven to excellence in everything we do, we are accountable and operate with transparency, we conduct ourselves with respect and embrace diversity, we grow with teamwork, learning and innovation. IAMGOLD is proud to be recognized on the 2023 Bloomberg Gender-Equality Index. Canada", "summaryDescription" : "Heavy Duty Equipment Technician at Côté Gold. Skills: Heavy equipment repair, Troubleshooting, Maintenance. Repair mobile heavy-duty equipment. Troubleshoot mobile heavy-duty equipment", "createdAt" : "2026-06-14T01:53:24.195", "lastUpdated" : "2026-06-15T08:00:12.548", "ingestTimestamp" : "2026-06-14T01:53:24.195", "mongoId" : "694ae6e370f0b99d589b3734", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Equipment repair", "Equipment troubleshooting", "Equipment maintenance", "Equipment overhaul", "Equipment adjustment", "Equipment testing", "Equipment lubrication", "Routine maintenance", "Service attachments", "Service working tools", "Operate equipment", "Technical reporting", "Shift coordination", "Team communication", "Equipment logs", "Shift logs", "Mentoring", "Teamwork", "Heavy equipment repair", "Troubleshooting", "Maintenance", "Process improvement", "Best practices", "Operational excellence", "Continuous improvement", "Risk assessment", "Operational reliability", "Shift deliverables", "Team expertise", "Effective communication", "Open pit mining", "Heavy-duty equipment", "Certificate of Qualification in Ontario", "CAT SIS", "CAT ET", "CAT HIS", "MineStar" ], "skillCount" : 37, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f727", "title" : "Intern Uncertainty Estimation for End-to-End Autonomous Driving", "company" : "Mercedes-Benz Group AG", "industry" : "Manufacturing", "salary" : { "min" : 15000.0, "max" : 20000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Sindelfingen, Germany, adjusted for company size and industry." }, "location" : "Germany-Baden-Württemberg-Sindelfingen", "locations" : [ "Germany-Baden-Württemberg-Sindelfingen", "Kolumbusstr. 19 21, , Sindelfingen" ], "timestamp" : "2026-06-16T02:28:11.613", "fingerprint" : "6517e1bebd1639b7b0e747d0d0b8a4e771559041ab4bcd526b7c68318f9b48b9", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=892666", "externalId" : "892666", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sindelfingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7084162,9.0035455" } ], "locationText" : "Sindelfingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "technicalSkills" : "Python, Deep learning, Neural networks, PyTorch, MMDetection, Linux, LLM, VLM, VLAMs", "professionalSkills" : [ "Uncertainty estimation", "Deep learning methodologies" ], "hardSkillsList" : [ "End-to-end autonomous driving", "Deep learning" ], "hardSkills" : [ { "name" : "End-to-end autonomous driving", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" } ], "majorSkills" : "Uncertainty estimation, End-to-end autonomous driving, Deep learning", "majorSkillsList" : [ "Uncertainty estimation", "End-to-end autonomous driving", "Deep learning" ], "coreResponsibilities" : "Conduct literature review, Integrate uncertainty estimation methods, Validate uncertainty estimation methods, Analyze uncertainties, Utilize uncertainties, Evaluate impact on planning, Implement training frameworks, Implement evaluation frameworks, Optimize training frameworks, Optimize evaluation frameworks", "teamCollaboration" : "Research team support", "domainKnowledge" : "Autonomous driving; End-to-end driving; Uncertainty estimation; Deep learning", "domainList" : [ "autonomous-driving", "end-to-end-driving", "uncertainty-estimation", "deep-learning" ], "domainSpecificKnowledge" : [ "Autonomous driving", "End-to-end driving", "Uncertainty estimation", "Deep learning" ], "toolProficiency" : [ "PyTorch", "MMDetection", "Linux", "Docker" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Master's degree in computer science, Master's degree in robotics, Master's degree in physics, Master's degree in mathematics, Master's degree in electrical engineering, Programming proficiency in Python, Solid foundation deep learning techniques, In-depth understanding deep learning techniques, Familiarity with common software frameworks, Hands-on experience with Linux, Development within Linux environments, Effective communication skills, Effective collaboration skills, Fluency in spoken English, Fluency in written English", "qualificationsPreferred" : "Knowledge of perception, Knowledge of prediction, Knowledge of planning, Knowledge of uncertainty estimation, Publication at deep learning conference, Publication at robotics conference, Hands-on experience with Docker, Familiarity with LLM, Familiarity with VLM, Familiarity with VLAMs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. We are committed to shaping the future of automotive mobility by developing highly automated driving systems for both highway and urban areas. To achieve this, we are seeking highly motivated interns to support our research team on the topic of uncertainty estimation for end-to-end (E2E) autonomous driving within our Perception Team in Sindelfingen. E2E autonomous driving models have emerged as a promising paradigm that directly maps sensor inputs to driving decisions. Compared to modular pipelines that separately process perception, prediction and planning, E2E models jointly optimize all stages within a single framework, resulting in simpler architectures and reduced information loss across modules. While architectural innovations have significantly improved model expressiveness and scalability, these systems are still prone to errors when encountering novel scenarios or unfamiliar appearances. To ensure safe decision-making, it is crucial to employ uncertainty estimation to identify potential errors such that they can be mitigated. However, the modeling and utilization of uncertainty along the E2E functional chain remain relatively underexplored. This research gap poses a critical challenge to the safety of autonomous systems in complex real-world environments. Your role will involve investigating advanced uncertainty estimation methods and analyzing their applicability within the context of E2E AD. Additionally, you will aim to integrate these methods into the E2E AD system and analyze the effects of uncertainty on planning, especially in long-tail and rare scenarios. For this, you are expected to survey the state-of-the-art technologies in this domain and leverage advanced deep learning methodologies. These challenges await you: Conducting a comprehensive literature review on the current state-of-the-art methods in E2E driving and advanced uncertainty estimation techniques Integrating and validating suitable uncertainty estimation methods within the E2E driving pipeline Analyzing and utilizing these uncertainties along the E2E functional chain to evaluate their impact on planning tasks, particularly in novel and rare scenarios Implementing and optimizing corresponding training and evaluation frameworks Currently pursuing a master’s degree in computer science, robotics, physics, mathematics, electrical engineering, or adjacent fields Strong programming proficiency in Python Solid foundation and in-depth understanding of deep learning techniques, especially neural networks, and common software frameworks (e.g., PyTorch, MMDetection family) Hands-on experience with Linux and development within Linux environments Effective communication and collaboration skills Fluency in spoken and written English Preferred Qualifications: Knowledge of perception, prediction, planning and uncertainty estimation Publication at a deep learning or robotics conference (including collaborations) Hands-on experience with containerization technologies (e.g., Docker) Familiarity with LLM / VLM / VLAMs Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Intern Uncertainty Estimation for End-to-End Autonomous Driving at Mercedes-Benz Group AG. Skills: Uncertainty estimation, End-to-end autonomous driving, Deep learning. Conduct literature review. Integrate uncertainty estimation methods", "createdAt" : "2026-06-14T20:43:34.945", "lastUpdated" : "2026-06-16T02:28:11.613", "ingestTimestamp" : "2026-06-14T20:43:34.945", "mongoId" : "6a191e7758b93c861e39f727", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "End-to-end autonomous driving", "Deep learning", "Uncertainty estimation", "Deep learning methodologies", "Autonomous driving", "End-to-end driving", "PyTorch", "MMDetection", "Linux", "Docker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305860f292fd229cf41947", "title" : "Light Duty Truck Mechanic", "company" : "DiGeronimo Companies", "industry" : "Manufacturing", "salary" : { "min" : 57000.0, "max" : 82000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the 2024-2025 market baseline for Light Duty Truck Mechanic in Independence, United States, adjusted for mid-seniority and the construction industry." }, "location" : "Independence, OH", "locations" : [ "Independence", "OH" ], "timestamp" : "2026-06-16T08:44:53.401", "fingerprint" : "c4fd59a057a687348ea66c0a5efe8389410fef96de914493910a312351fd114c", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://independence-excavating.breezy.hr/p/43ae17c17d1d-light-duty-truck-mechanic", "externalId" : "43ae17c17d1d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Independence", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.3816571,-81.6406872" } ], "locationText" : "Independence, Ohio, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Perform maintenance on light duty trucks", "qualificationsBasic" : "Light duty truck mechanic experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Light Duty Pickup Truck Mechanic Independence Excavating is growing! We are looking to add a light duty truck mechanic to our team in Cleveland, Ohio. What do we believe in? PEOPLE: Provide a safe, family-oriented environment. Commitment to integrity. Protect our most valuable assets. PERFORMAN", "summaryDescription" : "Light Duty Truck Mechanic at DiGeronimo Companies. Perform maintenance on light duty trucks", "createdAt" : "2026-06-15T22:10:56.948", "lastUpdated" : "2026-06-16T08:44:53.401", "ingestTimestamp" : "2026-06-15T22:10:56.948", "mongoId" : "6a305860f292fd229cf41947", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 57000, "salaryAnnualMax" : 82000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c68e074d8ee00a09051a9", "title" : "Engineer Manager - Perception, Self-Driving Systems", "company" : "Applied Intuition", "industry" : "Self-Driving Systems", "salary" : { "min" : 231900.0, "max" : 298100.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Sunnyvale", "locations" : [ "Sunnyvale" ], "timestamp" : "2026-06-16T00:48:38.796", "fingerprint" : "cf05f3d34fabcf63533699335919b3c829f30ada23f4b52944a76cb009315ab0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/applied/273fe3be-f482-4235-9459-3e1c36ae6c0a/application", "externalId" : "273fe3be-f482-4235-9459-3e1c36ae6c0a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT APPLIED INTUITION Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. ABOUT THE ROLE Applied Intuition builds the software infrastructure for autonomous vehicles across passenger cars, trucking, mining, and defense. Our Self-Driving Systems (SDS) team develops production-grade autonomy stacks deployed on real vehicles across multiple continents, from highway trucking in Japan to urban ADAS in the United States and Europe. We are looking for a Technical Lead Manager to own the perception model at the core of our autonomy stack. This is a single combined model: shared backbone, multi-task heads, serving every SDS program from the same codebase. The same model runs on a passenger car in Los Angeles, a truck in rural Japan, and an offroad vehicle in the Philippines. Different sensor configurations, different road geometries, different weather distributions, one model. You will lead the team that trains, evaluates, and ships this model, and you will be hands-on in the architecture and training decisions that drive its performance. AT APPLIED INTUITION, YOU WILL: - Own the perception model end-to-end: architecture, training, evaluation, and deployment. The core challenge is building a model that generalizes across geographies, road types, sensor setups, and environmental conditions without per-vertical forks. - Drive a camera-first perception strategy. The goal is to progressively reduce dependencies on HD maps and lidar. How to get there is part of the job. - Lead training and iteration cycles hands-on. You will be in the data, the eval dashboards, and the failure analysis. When perception regresses in a new geography or road type, you own understanding why and fixing it. - Own model performance across the full deployment surface: highway, urban, residential, ramps, complex intersections, poor weather, hilly terrain. You care about on-vehicle driving outcomes, not just offline metrics. - Manage the model lifecycle from training through quantization and deployment on embedded compute, including device-specific optimizations. Close the gap between what the model does offboard and what it does on the vehicle. - Work directly with OEM customer programs to understand sensor configurations, target ODDs, and performance requirements. Translate these into model architecture and data strategy. - Recruit, develop, and technically lead a team of perception engineers. Set high technical standards and create a culture of rigorous experimentation and measurement. WE’RE LOOKING FOR SOMEONE WHO HAS: - 5+ years in ML/deep learning for perception or 3D scene understanding. Deep hands-on experience training and deploying vision models at scale. - 2+ years managing a perception team, with ability to both set direction and contribute to architecture and training decisions directly. - Experience building production perception systems, especially camera-only or camera-first solutions. - Track record deploying perception models to embedded hardware under real-time latency and compute constraints, including device-specific optimizations. - Strong software engineering in Python and C++, comfortable across the stack from training code to onboard inference integration. - Experience scaling perception models across multiple geographies, sensor setups, or vehicle platforms. NICE TO HAVE: - Deep familiarity with transformer-based architectures for 3D perception, BEV representations, multi-task learning, and dense prediction. - Familiarity with occupancy-based scene representations, sparse query-based architectures, or temporal aggregation approaches. - Experience reducing or removing map dependencies in perception systems. - Background in autolabel pipelines, data quality monitoring, or data flywheel design for perception. - Experience with closed-loop simulation for perception model evaluation (neural sim, log sim, scenario-based testing). - Experience at an AV company that has shipped perception to production. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $231,900 - $298,100 USD annually. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.", "summaryDescription" : "Engineer Manager - Perception, Self-Driving Systems at Applied Intuition", "createdAt" : "2026-06-14T20:16:14.857", "lastUpdated" : "2026-06-16T00:48:38.796", "ingestTimestamp" : "2026-06-14T20:16:14.857", "mongoId" : "6a2c68e074d8ee00a09051a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 231900, "salaryAnnualMax" : 298100, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308121f292fd229c0690c2", "title" : "Duty Manager", "company" : "ALDI Stores", "industry" : "Retail", "salary" : { "min" : 33.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Shepparton, VIC, Australia", "locations" : [ "Shepparton", "VIC", "Australia" ], "timestamp" : "2026-06-16T12:03:10.306", "fingerprint" : "0f64439dbb3825248402cb4d2c7d229392b6bed0e837211b14f2a9965eaf5162", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ALDIStores/744000132291293-duty-manager-shepparton-", "externalId" : "744000132291293", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shepparton", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-36.3831633,145.3988874" } ], "locationText" : "Shepparton, Victoria, Australia", "employmentType" : "PART_TIME", "experienceLevel" : "not-applicable", "professionalSkills" : [ "Supervisory skills", "Stock management", "Visual merchandising", "Customer service" ], "majorSkills" : "Supervision, Retail operations", "majorSkillsList" : [ "Supervision", "Retail operations" ], "coreResponsibilities" : "Supervise team, Manage stock, Maintain store standards, Ensure customer satisfaction, Assist with visual merchandising, Handle customer inquiries, Process transactions, Open and close store", "teamCollaboration" : "Supervise team members", "domainKnowledge" : "Fast-paced retail", "domainList" : [ "fast-paced-retail" ], "domainSpecificKnowledge" : [ "Fast-paced retail" ], "qualificationsBasic" : "Minimum 3 years supervisory experience, Experience in fast-paced retail environment, Experience with stock management, Experience with visual merchandising, Experience with customer service", "qualificationsPreferred" : "Experience in grocery retail", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ALDI. Good Different. With roots dating back to 1913, ALDI is proud to make a real difference to people across the world by offering top quality products for low prices. ALDI first entered the Australian grocery market in 2001 and has since grown to have almost 600 stores and 8 distribution centres in 5 states. If you’ve ever shopped at ALDI you know we are not your average supermarket. We’re also not your average employer. ALDI is a place where you’ll find good people, good purpose and good opportunities. So you can work with a great team, feel great for making a real difference for everyday Australians and have a rewarding career. It’s that simple. ALDI Good Different. Start your leadership journey with ALDI! From driving sales, to serving customers and supervising team members, our Duty Managers always lead from the front. Your purpose is ensuring our store runs smoothly during your shift. You'll be supporting and guiding team members, handling customer inquiries and working collaboratively as part of the store management team. All the while, you'll be honing your leadership skills and truly making a difference for your team and our customers. The specifics? Here's what you’ll be doing: * Opening and closing the store and supervising shifts. * Offering feedback to the team that's clear, constructive, and inspiring. * Assisting in training and onboarding team members. * Being a customer service superstar and serving customers at the registers with a smile. * Keeping shelves stocked with products so that our customers can find all their favourites. * Keeping a keen lookout for any incidents or hazards to keep everyone safe. ## Qualifications In return, we'd love for you to: * Use your initiative to manage and improve our work quality and efficiency. * Communicate effectively with colleagues at all levels - teamwork is the key. * Exhibit professionalism, fairness, and responsibility in every conversation. * Manage your workload effectively, even when things heat up. * Lead by example, promoting a positive team spirit that's contagious. * Offer our customers service that's consistently polite and courteous. ## Additional Information Enjoy a fantastic hourly rate of $33.87 + shift allowances * 35-hour per week contract * Be part of a company with purpose - we’re committed to sustainability for our planet, positively impacting our communities, supporting our farmers and suppliers and giving our customers a richer life for less. * Start your leadership journey with us with extensive training and career opportunities with over 80% of our store management roles filled internally. * Work in a friendly and supportive environment with small teams. * Support during life’s most important moments including paid parental leave, superannuation on parental leave, up to 5 days paid compassionate leave, natural disaster leave, emergency services leave etc. * Boost your well-being with the MyALDI Wellbeing program with discounted access to Fitness Passport and health insurance. * Need support? Our confidential Employee Assistance Program is available to you and your family, free of charge. * Don't worry about aches and pains – we offer free physiotherapy for non-work-related issues. At ALDI, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from people of all backgrounds, experiences, abilities, and identities. To learn more, please visit [aldicareers.com.au](http://www.aldicareers.com.au/) Finally, you'll be joining a team that's been voted Employer of Choice for seven consecutive years. Are you ready to kick-start your retail leadership career at ALDI? We can't wait to hear from you! *As a Duty Manager you will need to work in the evenings and on weekends as part of the store management team.", "summaryDescription" : "Duty Manager at ALDI Stores. Skills: Supervision, Retail operations. Supervise team. Manage stock", "postedDate" : "2026-06-15T22:15:13.000", "createdAt" : "2026-06-16T01:41:33.746", "lastUpdated" : "2026-06-16T12:03:10.306", "ingestTimestamp" : "2026-06-16T01:41:33.746", "mongoId" : "6a308121f292fd229c0690c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Supervision", "Retail operations", "Supervisory skills", "Stock management", "Visual merchandising", "Customer service", "Fast-paced retail" ], "skillCount" : 7, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8f1d74d8ee00a097d846", "title" : "Heavy Duty Truck Sales Manager", "company" : "Premier Truck Group", "industry" : "Sales", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Heavy Duty Truck Sales Manager in Amarillo, United States, adjusted for manager seniority and full-time employment." }, "location" : "Amarillo, TX", "locations" : [ "Amarillo, TX" ], "timestamp" : "2026-06-15T22:05:56.708", "fingerprint" : "0475636ff93d2698ab50f36a120de7f5effaa69a05283fb4a1b58fc6728f9dfb", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/premiertruck/765fb141-6aa7-46af-babc-2b2baded0c5e/apply", "externalId" : "765fb141-6aa7-46af-babc-2b2baded0c5e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amarillo", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2072900,-101.8371192" } ], "locationText" : "Amarillo, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 5, "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Winners Work Here! Premier Truck Group is dedicated to ONE Network Executing, our mission which focuses on delivering the best employee experience, operational excellence, and exceptional customer service. At PTG, our top priority is to be your employer of choice and to provide a top-tier employee experience, regardless of the location where you work. Who is Premier Truck Group? Premier Truck Group is headquartered in Dallas, Texas, with nearly 50 locations throughout the US and Canada, making it the largest Freightliner dealer group in North America. We offer a premium selection of new Freightliner and Western Star commercial vehicles, a large selection of previously owned commercial trucks, and a full suite of parts, maintenance, and repair services. When you build your career here, you make a commitment to being the very best in the business. We are the pre-eminent group of Freightliner truck dealerships in the nation with serious plans for the future and we want you to be a part of it. Why Join Our Winning Team? When you join our team, you’re rewarded with the opportunity to work for an organization that provides opportunities for career growth and advancement, tailored to individual performance, experience and interests, along with a fully comprehensive benefits package including: Employee Discounts Medical, Dental, and Vision Insurance Life Insurance Employee Assistant Programs Paid Holidays and Paid Time Off 401k Plan with Employer Match Training Work-Life Balance Here are some quick insights into this opportunity. We would love to discuss it with you in more detail! Heavy Duty Truck Sales Manager Responsibilities: Lead and mentor the employees within the department, and foster relationships throughout the dealership. Recruit, train and develop the sales and sales support team. Set objectives and coach individuals to manage department performance and provide industry leading customer service. Grow the customer base and achieve market share targets by leading the sales team in meeting new truck sales objectives in the designated area of responsibility (AOR) through sales calls, fact finding, presentation selling, closing deals and ensuring after sales support of our valued customers. Guide the structuring of complex sales transactions including large quantities of new trucks, trade-in packages, finance, and ancillary offerings. Responsible for developing and implementing a strategy to grow on-highway, medium duty and vocational truck sales through monthly, quarterly and annual business planning. Manage stock inventory to position Premier Truck Group to be supplier of choice in key market segments. Demonstrate a strong commitment to results by providing frequent market and sales forecasts, and reporting on sales activity and results. Ensure proper use of PTG’s business systems to forecast, track and report on department sales performance. Through these efforts, lead the conversation with the sales team and manage by objective. Ensure department compliance with company sales and management policies and financial requirements. Responsible for department cost control, maintaining accurate financial schedules, and meeting all department audit requirements. Represent the new truck sales team and customers through internal interaction with service, parts, financial services, accounting and remarketing departments and externally with our manufacturing partner, Daimler Trucks North America, and other local and national vendors as needed. Analyzes the financial information and develops budget plans, and procedures to ensure financial goals are met. Perform all other duties as assigned. Heavy Duty Trucks Sales Manager Requirements: High School Diploma or equivalent; and five or more years related experience and/or training; or equivalent combination of education and experience. IND-SALES ## Additional Information Ready to Join? Apply now to learn more about what Premier Truck Group has to offer! Premier Truck Group is an equal opportunity employer.", "summaryDescription" : "Heavy Duty Truck Sales Manager at Premier Truck Group", "postedDate" : "2026-06-12T17:15:22.729", "createdAt" : "2026-06-12T17:15:22.729", "lastUpdated" : "2026-06-15T22:05:56.708", "ingestTimestamp" : "2026-06-14T21:44:34.888", "mongoId" : "6a2c8f1d74d8ee00a097d846", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f758", "title" : "Drive System Project and System Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Drive System Project and System Engineer in Beijing, China, adjusted for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T04:34:34.226", "fingerprint" : "f190d5ff88d9acd3cd6d85ed445a94184ab24dc693dd6440e94442d2e722a6aa", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=884665", "externalId" : "884665", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Intercultural working experience" ], "coreResponsibilities" : "Plan projects, Align with different interfaces within RD China, Align with different interfaces within RD Germany, Plan software releases, Synchronize software development timeline, Align software development topics, Plan software versions, Handle variants, Manage SW-resources, Manage software suppliers, Plan feature-rollout, Plan costs, Attend test drives, Track issues, Troubleshoot issues, Find solutions, Release software, Manage change, Maintain software data, Initiate approval process, Drive approval process", "projectManagementSkills" : [ "Project management methods" ], "domainKnowledge" : "Drive system project; Software release; Model year certification; Drive system project; Software development; China specific cooperation; Features; Regulations; Software coordination; Testing coordination; Development coordination; Software versions; Variant handling; SW-resources management; Software supplier management; Feature-rollout; Cost planning; Test drives; Issue tracking; Trouble shooting; Solution finding; Software release; Function developer; Calibration engineers; Software validation; Change management; Software data; Vehicle certification; Approval process; Software releases; ICE technology; Hybrid technology; Automobile industry", "domainList" : [ "drive-system-project", "software-release", "model-year-certification", "software-development", "china-specific-cooperation", "features", "regulations", "software-coordination", "testing-coordination", "development-coordination", "software-versions", "variant-handling", "sw-resources-management", "software-supplier-management", "feature-rollout", "cost-planning", "test-drives", "issue-tracking", "trouble-shooting", "solution-finding", "function-developer", "calibration-engineers", "software-validation", "change-management", "software-data", "vehicle-certification", "approval-process", "software-releases", "ice-technology", "hybrid-technology", "automobile-industry" ], "domainSpecificKnowledge" : [ "Drive system project", "Software release", "Model year certification", "Drive system project", "Software development", "China specific cooperation", "Features", "Regulations", "Software coordination", "Testing coordination", "Development coordination", "Software versions", "Variant handling", "SW-resources management", "Software supplier management", "Feature-rollout", "Cost planning", "Test drives", "Issue tracking", "Trouble shooting", "Solution finding", "Software release", "Function developer", "Calibration engineers", "Software validation", "Change management", "Software data", "Vehicle certification", "Approval process", "Software releases", "ICE technology", "Hybrid technology", "Automobile industry" ], "problemSolvingSkills" : "Trouble shooting; Solution finding", "specialRequirements" : "Willingness to travel inside China, Willingness to travel abroad", "qualificationsBasic" : "University degree in mechanical engineering, University degree in automotive engineering, University degree in electrical engineering, Advanced knowledge project management methods, Advanced knowledge ICE technology, Advanced knowledge Hybrid technology, Computer skills mandatory, Windows proficiency, Office proficiency, Self-responsible working attitude, Initiative, Intercultural competence, Communication skills with various hierarchy levels, Planning skills, Organizational skills, Fast-learning competence, Good technical understanding, High commitment for automobiles, Willingness to travel inside China, Willingness to travel abroad", "qualificationsPreferred" : "German language is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objectives: 1 . Project planning Alignment with different interfaces within RD China and RD Germany Software release planning according to model year certification and release plan Software development timeline synchronization within drive system project . Software development topic alignment for China specific cooperation topics regarding features/regulations 2 . Central software coordination and testing/development coordination Software versions planning, variant-handling, SW-resources-management Software supplier management Feature-rollout planning, cost planning Planning and attendance of test drives on demand (e.g. summer test, winter test) Issue tracking, trouble shooting and solution finding. 3. Release Software release in accordance with function developer and calibration engineers after sufficient software validation Change management Maintenance of software data for vehicle certification Initiate and drive the approval process for software releases Qualifications: Education: University degree in mechanical engineering, automotive engineering, electrical engineering or in a related field. Experience : Advanced knowledge and experience with project management methods. Advanced knowledge and experience on ICE and Hybrid on technology. Intercultural working experience in automobile industry. Specific Knowledge : Chinese native speaker with fluent English language skills, German language is a plus. Computer skills mandatory, including Windows, Office. Self-responsible working attitude and initiative. Intercultural competence and communication skills with various hierarchy levels. Strong planning and organizational skills. Fast-learning competence and good technical understanding. High commitment for automobiles. Willingness to travel inside China and abroad. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Drive System Project and System Engineer at Mercedes-Benz Group China Ltd.. Plan projects. Align with different interfaces within RD China", "createdAt" : "2026-06-14T19:04:33.636", "lastUpdated" : "2026-06-16T04:34:34.226", "ingestTimestamp" : "2026-06-14T19:04:33.636", "mongoId" : "6a191e7758b93c861e39f758", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Intercultural working experience", "Project management methods", "Drive system project", "Software release", "Model year certification", "Software development", "China specific cooperation", "Features", "Regulations", "Software coordination", "Testing coordination", "Development coordination", "Software versions", "Variant handling", "SW-resources management", "Software supplier management", "Feature-rollout", "Cost planning", "Test drives", "Issue tracking", "Trouble shooting", "Solution finding", "Function developer", "Calibration engineers", "Software validation", "Change management", "Software data", "Vehicle certification", "Approval process", "Software releases", "ICE technology", "Hybrid technology", "Automobile industry" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a220dde74d8ee00a0d6f357", "title" : "Local CDL A Truck Driving Position", "company" : "4th Day Trucking", "industry" : "Logistics", "salary" : { "min" : 1625.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Aurora, CO", "locations" : [ "Aurora", "CO" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-15T07:13:21.792", "fingerprint" : "6ce28bb73d4a54c7d13a4d2684a7eac7b3546a001b5273ef9a9fa8d42c3a4ab3", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://4th-day-trucking.breezy.hr/p/4119e0d1c984-local-cdl-a-truck-driving-position", "externalId" : "4119e0d1c984", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Aurora", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7401441,-104.8733376" } ], "locationText" : "Aurora, Colorado, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Drop and hook", "Live loads" ], "hardSkills" : [ { "name" : "Drop and hook", "level" : "intermediate" }, { "name" : "Live loads", "level" : "intermediate" } ], "majorSkills" : "CDL A driving", "majorSkillsList" : [ "CDL A driving" ], "coreResponsibilities" : "Drive for dedicated account, Transport freight", "domainKnowledge" : "Denver Metro Area", "domainList" : [ "denver-metro-area" ], "domainSpecificKnowledge" : [ "Denver Metro Area" ], "specialRequirements" : "Home daily, Solo position, No touch freight", "qualificationsBasic" : "CDL A license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hiring Drivers for Dedicated Account in the Denver Metro Area/ HOME DAILY/ $1.625 Average Weekly Pay Details Regarding the Position: SOLO Position No touch freight, Drop and hook and live loads 2025 models, with automatic transmissions. Average weekly miles: 1,700, 1-3 loads per day and 13 stops w", "summaryDescription" : "Local CDL A Truck Driving Position at 4th Day Trucking. Skills: CDL A driving. Drive for dedicated account. Transport freight", "createdAt" : "2026-06-14T06:54:40.778", "lastUpdated" : "2026-06-15T07:13:21.792", "ingestTimestamp" : "2026-06-14T06:54:40.778", "mongoId" : "6a220dde74d8ee00a0d6f357", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 84500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Drop and hook", "Live loads", "CDL A driving", "Denver Metro Area", "CDL A" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e370f0b99d589b3724", "title" : "Autonomous System Command Builder", "company" : "Côté Gold", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Autonomous System Command Builder in Gogama, Canada, adjusted for the mining industry." }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-16T04:43:12.618", "fingerprint" : "0109450bc980de878db97fd1f44440b395d2a1cbcb7fa7e0ffac857923df22b7", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57001", "externalId" : "57001", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "technicalSkills" : "Mine model, MineStar Command", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Mine model validation", "Mine model accuracy", "Road network design", "Dump area design", "Ramp design", "Road design" ], "hardSkills" : [ { "name" : "Mine model validation", "level" : "intermediate" }, { "name" : "Mine model accuracy", "level" : "intermediate" }, { "name" : "Road network design", "level" : "intermediate" }, { "name" : "Dump area design", "level" : "intermediate" }, { "name" : "Ramp design", "level" : "intermediate" }, { "name" : "Road design", "level" : "intermediate" } ], "majorSkills" : "Mine model implementation, Autonomous haulage operations, Operational metrics, Continuous learning", "majorSkillsList" : [ "Mine model implementation", "Autonomous haulage operations", "Operational metrics", "Continuous learning" ], "coreResponsibilities" : "Ensure integrity of mine model, Accurately reflect mine operations reality, Plan physical changes within AOZ, Validate physical changes within AOZ, Update physical changes within AOZ, Interpret designs to adjust model, Follow key productivity metrics, Trend key productivity metrics, Report in-cycle interruptions, Action in-cycle interruptions, Ensure dynamic areas are ready, Ensure dynamic areas are available, Complete documentation accurately, Complete data entry accurately, Monitor operations performance, Monitor system performance, Seek opportunities to improve operations, Investigate causes of cycle issues, Share problems and inefficiencies, Troubleshoot problems, Resolve problems, Consider risk dimensions, Deliver operational reliability, Form working relationships with Mine Operators, Form working relationships with Supervisors, Form working relationships with Control teams, Coordinate with team members on site, Meet shift deliverables, Mentor new team members, Train new team members, Lend expertise to team, Communicate clearly, Communicate effectively, Ensure equipment logs are accurate, Ensure equipment logs are complete, Ensure shift logs are accurate, Ensure shift logs are complete, Communicate deficiencies to team members, Participate in multi-disciplinary teams", "teamCollaboration" : "Mine Operators; Supervisors; Control teams; Other team members on site; Multi-disciplinary teams", "domainKnowledge" : "Open pit mining fundamentals; Autonomous mining operations; Autonomous Haulage fleet", "domainList" : [ "open-pit-mining-fundamentals", "autonomous-mining-operations", "autonomous-haulage-fleet" ], "domainSpecificKnowledge" : [ "Open pit mining fundamentals", "Autonomous mining operations", "Autonomous Haulage fleet" ], "toolProficiency" : [ "Minestar Command" ], "communicationSkills" : "Communicate clearly; Communicate effectively", "documentationSkills" : "Documentation completion; Data entry; Equipment logs; Shift logs", "continuousLearning" : "Continuous learning; Continuous improvement", "problemSolvingSkills" : "Troubleshoot problems; Resolve problems; Investigate causes of cycle issues", "outcomesObjectives" : "Ensure key performance indicators are met", "qualificationsBasic" : "Grade 12 or equivalent, 2 or more years of experience in an open pit mining environment, 2 or more years of experience in civil engineering, 2 or more years of experience in survey, 2 or more years of experience in autonomous operations environment", "qualificationsPreferred" : "College diplomas or university degrees in a related field, Previous exposure to Autonomous Builder role", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve today. Define tomorrow. At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Autonomous System Command Builder The Autonomous System Command Builder is responsible for the effective utilization of the Autonomous Haulage fleet using Minestar Command. The Builder is the “hands on” implementer of the mine model within MineStar Command for hauling. Key Responsibilities Area 1: Mine model validation and accuracy. Ensure the integrity of the mine model (road network, locations, equipment etc.) and that it accurately reflects mine operations reality. Plan, validate and update any physical changes within the Autonomous Operating Zone (AOZ) to the Mine Model either in the field or control center. Interpret designs (Shift plans, dump development, ramps, roads etc.) to adjust model accordingly. Follow and trend key productivity metrics. Report and action any in-cycle interruptions caused by field/operational conditions such as road quality, road design, setup of load and dump areas. Ensure all dynamic areas are ready and available for use. Accurate completion of documentation and data entry where necessary. Monitor operations/processes and system performance to ensure key performance indicators are met. Area 2: Operational excellence. Seek opportunities to improve field haul fleet operations. Commit to continuous learning and improvement. Continually seek to improve your skills as an Autonomous System Command Builder. Watch for inefficiencies or problems. Investigate causes of cycle issues Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost). Area 3: Work collaboratively with others to deliver operational reliability. Form close working relationships with Mine Operators, Supervisor and Control teams to drive efficiency of the Autonomous Haulage fleet. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves Minimum Qualifications, Formal Education, Certifications or Equivalents Grade 12 or equivalent. College diplomas or university degrees in a related field such as civil engineering, surveying, robotics, or autonomous systems is considered an asset. Work Experience – Nature & Length 2 or more years of experience in an open pit mining environment, civil engineering, survey or autonomous operations environment. Previous exposure to Autonomous Builder role will be highly regarded, but not essential. Additional Qualifications – Competency Requirements Advanced computer literacy. Sound knowledge of open pit mining fundamentals and autonomous mining operations. Able to visualize efficient roadways (shortest routes, fewest curves, fewest stop points). What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier Canadian gold producer with operating gold mines on three continents. We are in growth-mode, with a robust pipeline of development and exploration projects in Canada, South America and Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. IAMGOLD was recently recognized by the Corporate Knights magazine on its Top 50 Corporate Citizens in Canada list. Canada", "summaryDescription" : "Autonomous System Command Builder at Côté Gold. Skills: Mine model implementation, Autonomous haulage operations, Operational metrics, Continuous learning. Ensure integrity of mine model. Accurately reflect mine operations reality", "createdAt" : "2026-06-14T20:39:56.010", "lastUpdated" : "2026-06-16T04:43:12.618", "ingestTimestamp" : "2026-06-14T20:39:56.010", "mongoId" : "694ae6e370f0b99d589b3724", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mine model validation", "Mine model accuracy", "Road network design", "Dump area design", "Ramp design", "Road design", "Mine model implementation", "Autonomous haulage operations", "Operational metrics", "Continuous learning", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Open pit mining fundamentals", "Autonomous mining operations", "Autonomous Haulage fleet", "Minestar Command" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677b01", "title" : "Drive Systems – Function Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Function Engineer in the Automotive industry in Beijing, China, adjusted for company size and industry." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T00:57:53.141", "fingerprint" : "a80954da0d5422849c35fcd2e998bde234152a64efb328f9926c355948632bae", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=880766", "externalId" : "880766", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "minimumEducation" : "Bachelor's", "technicalSkills" : "E-Drive, Hybrid-drive, MATLAB, Simulink, CAN, LIN", "professionalSkills" : [ "Project management", "Stakeholder communication", "Benchmark analysis", "Requirements specification", "Use-case definition", "Function models", "Data analysis", "Automation" ], "hardSkillsList" : [ "Electrical systems", "E/E architectures", "Calibration tools", "Automotive measurement equipment" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Electrical systems", "level" : "intermediate" }, { "name" : "E/E architectures", "level" : "intermediate" }, { "name" : "Calibration tools", "level" : "intermediate" }, { "name" : "Automotive measurement equipment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "E-Drive, Energy management", "majorSkillsList" : [ "E-Drive", "Energy management" ], "coreResponsibilities" : "Lead development of EVRA features, Implement EVRA features, Validate EVRA features, Collaborate across multiple domains, Ensure cohesive system integration, Conduct benchmark analysis, Develop validation plans, Develop release plans, Ensure compliance with quality processes, Drive creation of requirements specifications, Drive creation of use-case definitions, Drive creation of function models, Support simulation of EVRA functions, Support testing of EVRA functions, Apply project management skills, Manage timelines, Manage deliverables, Manage risk assessments, Manage stakeholder communication, Interface with suppliers, Interface with external partners, Support feature development, Support feature validation, Contribute to continuous improvement", "teamCollaboration" : "Cross-functional collaboration; Global teams; Multidisciplinary teams", "projectManagementSkills" : [ "Project management", "Deliverables", "Risk assessments", "Stakeholder communication" ], "domainKnowledge" : "Electric Vehicle; E-Drive powertrain; Energy management; User interface; Navigation; BEV architecture; PHEV architecture; REEV architecture; Consumption management; Charging management; ADAS; Vehicle electrical systems; E/E architectures; Communication protocols", "domainList" : [ "electric-vehicle", "e-drive-powertrain", "energy-management", "user-interface", "navigation", "bev-architecture", "phev-architecture", "reev-architecture", "consumption-management", "charging-management", "adas", "vehicle-electrical-systems", "e-e-architectures", "communication-protocols" ], "domainSpecificKnowledge" : [ "Electric Vehicle", "E-Drive powertrain", "Energy management", "User interface", "Navigation", "BEV architecture", "PHEV architecture", "REEV architecture", "Consumption management", "Charging management", "ADAS", "Vehicle electrical systems", "E/E architectures", "Communication protocols" ], "toolProficiency" : [ "ETAS INCA", "CANape" ], "communicationSkills" : "English communication", "documentationSkills" : "Requirements specifications; Use-case definitions; Function models; Functional specifications", "continuousLearning" : "Continuous improvement", "innovationCreativity" : "Drive innovation; Technology roadmaps", "problemSolvingSkills" : "Risk assessments", "qualificationsBasic" : "Bachelor's or Master's degree, Working experience in automotive or telematics development, Experience using calibration tools, Familiarity with model-based development, Good understanding of vehicle electrical systems, Proficiency in interpreting and developing system requirements", "qualificationsPreferred" : "BEV / PHEV / REEV architecture focus, Energy/consumption/charging management focus, Navigation or ADAS-related focus, E-drive feature development focus, System testing, data analysis, and automation focus, Customer-oriented thinking, Ability for cross-functional collaboration, Future-oriented mindset, Proven ability to drive innovation, Well-structured working habits, Self-motivated, Able to see the big picture, Willingness to share knowledge, High sense of responsibility, Ownership and commitment", "remoteFriendly" : false, "rawDescription" : "Drive systems function engineer with focus on “Electric Vehicle Range Assist” · Lead the development, implementation, and validation of Electric Vehicle Range Assist features · Collaborate across multiple domains (e.g., E-Drive powertrain, energy management, user interface, navigation etc.) to ensure cohesive system integration · Conduct benchmark analysis of competitive vehicles with a focus on E-drive and hybrid-drive features. · Develop validation and release plans for EVRA functions, ensuring full compliance with internal quality processes and standards · Drive the creation of requirements specifications, use-case definitions, and function models · Support simulation and testing of EVRA functions · Apply project management skills to manage timelines, deliverables, risk assessments, and stakeholder communication · Interface with suppliers and external partners as needed to support feature development and validation Contribute to continuous improvement of development processes and system quality Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Automotive Engineering, or related field Working experience in automotive or telematics development, preferably focused on: BEV / PHEV / REEV architecture Energy/consumption/charging management Navigation or ADAS-related E-drive feature development System testing, data analysis, and automation Experience using calibration tools such as ETAS INCA, CANape, and standard automotive measurement equipment Familiarity with model-based development, e.g., MATLAB/Simulink Good understanding of vehicle electrical systems, E/E architectures, and communication protocols (CAN, LIN, etc.) Proficiency in interpreting and developing system requirements, use cases, and functional specifications Excellent English communication skills, both written and verbal Preferred Skills and Competencies: Customer-oriented thinking with a focus on delivering high-value user features Strong ability for cross-functional collaboration in global and multidisciplinary teams Future-oriented mindset with a keen awareness of market and technology trends Proven ability to drive innovation and contribute to technology roadmaps Well-structured working habits and ability to actively follow up on tasks with minimal supervision Self-motivated with a continuous improvement mindset in both technical and workflow efficiency Able to see the big picture, prioritize tasks, and assess project risks and impacts Willingness to share knowledge, mentor others, and contribute to a learning-oriented team culture Demonstrates a strong drive for excellence and a proactive attitude toward achieving team success High sense of responsibility, ownership, and commitment to delivering quality results Mercedes-Benz Group China Ltd.", "summaryDescription" : "Drive Systems – Function Engineer at Mercedes-Benz Group China Ltd.. Skills: E-Drive, Energy management. Lead development of EVRA features. 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Also have evening shifts from 4 pm to 930 or 1030 pm Responsibilities: * Perform routine cleaning tasks including sweeping, mopping floors, and cleaning walls and windows * Maintain cleanliness of washrooms, including hourly checks and restocking supplies * Remove garbage from waste containers throughout the mall and clean up litter on walkways (lift up to 25 lbs) * Use proper cleaning practices, supplies, and equipment * Handle and dispose of hazardous materials and blood-borne pathogens according to state and federal regulations * Perform other janitorial duties as required * Ensuring mall is ready for opening and cleaned at closing time * Keep sidewalks clean of garbage * Leaf blowing and power washing areas ## Qualifications * Working knowledge of building cleaning practices, supplies, and equipment * Familiarity with proper use of cleaning chemicals in compliance with regulations * Understanding of hazardous materials and blood-borne pathogen disposal procedures ## Additional Information Dexterra Group is an equal opportunity employer committed to diversity and inclusion. 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Also have evening shifts from 4 pm to 930 or 1030 pm Responsibilities: * Perform routine cleaning tasks including sweeping, mopping floors, and cleaning walls and windows * Maintain cleanliness of washrooms, including hourly checks and restocking supplies * Remove garbage from waste containers throughout the mall and clean up litter on walkways (lift up to 25 lbs) * Use proper cleaning practices, supplies, and equipment * Handle and dispose of hazardous materials and blood-borne pathogens according to state and federal regulations * Perform other janitorial duties as required * Ensuring mall is ready for opening and cleaned at closing time * Keep sidewalks clean of garbage * Leaf blowing and power washing areas ## Qualifications * Working knowledge of building cleaning practices, supplies, and equipment * Familiarity with proper use of cleaning chemicals in compliance with regulations * Understanding of hazardous materials and blood-borne pathogen disposal procedures ## Additional Information Dexterra Group is an equal opportunity employer committed to diversity and inclusion. 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Ability to do manual labor in an outdoor environment that may include elevated areas and extreme weather conditions. 4. Good communications skills, and the ability to read operating instructions. 5. Proactive in SAFETY and works well in a team environment. ## Additional Information We offer competitive benefits, including health insurance, life insurance and disability plans, as well as a 401k with company matching. Harsco Environmental is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines. If you have a difficulty applying for any job posted on the Harsco Environmental website because a disability prevents you from using the online system, Harsco Environmental offers the following alternate application procedure: Contact Sharon Geibel, Recruiter, at sgeibel@harsco.com and Harsco Environmental will arrange for an alternate method of applying and will consider your application together with all other applications received for the job. 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Specify test cases for drivetrain validation Monitor the drive system relevant component trend and roadmaps Set benchmark targets and draft benchmark plans Review test results and release drivetrain systems Reporting in project and management rounds Job Requirement: Education : University degree in electrical, mechanical or automotive engineering, Experience: • Deep knowledge of drivetrain system or drivetrain HV system design, calibration, testing, validation, integration and relevant areas (3-5 years and above) • Familiar with xEV drivetrain system development process, and specification method. • Familiar with current xEV drivetrain concepts/architectures on the market and understand the pros and cons of different concepts • Deep understanding of drive system functions and function specification. • eDrive powertrain control strategy, energy management, thermal management, and other key functions calibration experience is beneficial • At least a basic understanding of all systems and 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Then apply now! We look forward to receiving your application! ", "summaryDescription" : "Duty Manager. Skills: Process management, Cross-functional coordination, Vendor management, Stakeholder management, Operational metrics, Resource planning, Continuous improvement. Manage operations. 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"summaryDescription" : "CDL A- LOCAL- HOME DAILY- TRUCK DRIVING POSITION! at 10-4 Truck Recruiting", "createdAt" : "2026-06-14T21:54:33.049", "lastUpdated" : "2026-06-15T23:40:23.654", "ingestTimestamp" : "2026-06-14T21:54:33.049", "mongoId" : "6a2d1ccb74d8ee00a0af3754", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f6b2", "title" : "Drive System Concept Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market 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thinking", "Concept evaluation", "Technical benchmarking", "Requirements engineering", "Supplier comparison", "Decision making" ], "hardSkillsList" : [ "High-voltage safety", "Functional safety", "Diagnostics", "Software-defined vehicle trends", "System integration", "EDrive system validation", "Cost analysis", "Industrialization processes", "Supplier development", "Validation processes" ], "hardSkills" : [ { "name" : "High-voltage safety", "level" : "intermediate" }, { "name" : "Functional safety", "level" : "intermediate" }, { "name" : "Diagnostics", "level" : "intermediate" }, { "name" : "Software-defined vehicle trends", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "EDrive system validation", "level" : "intermediate" }, { "name" : "Cost analysis", "level" : "intermediate" }, { "name" : "Industrialization processes", "level" : "intermediate" }, { "name" : "Supplier development", "level" : "intermediate" }, { "name" : "Validation processes", "level" : "intermediate" } ], "majorSkills" : "Supplier technology evaluation, Market trend analysis", "majorSkillsList" : [ "Supplier technology evaluation", "Market trend analysis" ], "coreResponsibilities" : "Define future BEV drive system concepts, Evaluate future BEV drive system concepts, Analyze supplier technologies, Benchmark external solutions, Prepare technical RFQ content, Prepare supplier questions, Prepare evaluation criteria, Prepare structured feedback summaries, Align drive system concepts with internal stakeholders, Consolidate technical findings, Prepare KPI evaluations, Prepare concept recommendations, Prepare risk assessments, Prepare management-ready decision documents", "teamCollaboration" : "Cross-functional collaboration; International collaboration; Internal stakeholders alignment", "domainKnowledge" : "Electric drive system; Powertrain architecture; HV system design; Vehicle integration; xEV powertrain system development; High-voltage safety; Functional safety; Diagnostics; Software-defined vehicle trends; System integration; eDrive systems; Cost analysis; Industrialization processes; Supplier development; Validation processes", "domainList" : [ "electric-drive-system", "powertrain-architecture", "hv-system-design", "vehicle-integration", "xev-powertrain-system-development", "high-voltage-safety", "functional-safety", "diagnostics", "software-defined-vehicle-trends", "system-integration", "edrive-systems", "cost-analysis", "industrialization-processes", "supplier-development", "validation-processes" ], "domainSpecificKnowledge" : [ "Electric drive system", "Powertrain architecture", "HV system design", "Vehicle integration", "xEV powertrain system development", "High-voltage safety", "Functional safety", "Diagnostics", "Software-defined vehicle trends", "System integration", "eDrive systems", "Cost analysis", "Industrialization processes", "Supplier development", "Validation processes" ], "communicationSkills" : "Clear concept alternatives; Management-ready decision documents", "problemSolvingSkills" : "Analytical skills; Benchmarking; KPI evaluation; Supplier comparison", "qualificationsBasic" : "University degree in electrical, mechanical or automotive engineering, In-depth understanding of electric drive system, Powertrain architecture knowledge, HV system design knowledge, Vehicle integration principle knowledge, Rich Experience with requirements engineering, Concept evaluation experience, Technical benchmarking experience, Deep knowledge on xEV powertrain system development process, Familiarity with high-voltage safety, Familiarity with functional safety, Familiarity with diagnostics, Familiarity with software-defined vehicle trends, Basic understanding of system integration, Basic understanding of testing, Basic understanding of validation of eDRIVE systems, Basic understanding of cost, Basic understanding of industrialization, Basic understanding of supplier development, Basic understanding of validation processes, Fluent written/spoken English", "qualificationsPreferred" : "German language beneficial", "remoteFriendly" : false, "rawDescription" : "Objective of Job: We are looking for a Drive System Concept Engineer to lead the definition of future electric drive system concepts for our next-generation vehicle platforms. The role focuses on translating market trends, supplier innovations, customer requirements, and internal Mercedes-Benz engineering standards into competitive, scalable, and cost-efficient drive system concepts. The engineer will work as the interface between eDrive components, E/E architecture, vehicle integration, testing, and internal/external partners. A key part of the role is to evaluate supplier technologies, benchmark market solutions, and prepare technical input for strategic concept decisions. Task description: Define and evaluate future BEV drive system concepts, including architecture, integration level, HV system, charging concept, and key performance/cost assumptions. Analyze supplier technologies and market trends to benchmark external solutions against internal Mercedes-Benz requirements and future platform needs. Prepare technical RFQ content, supplier questions, evaluation criteria, and structured feedback summaries to support concept and partner decisions. Align drive system concepts with internal stakeholders across eDrive, battery, E/E, vehicle integration, testing, purchasing, and production. Align drive system concepts with internal stakeholders across eDrive, battery, E/E, vehicle integration, testing, purchasing, and production. Consolidate technical findings into clear KPI evaluations, concept recommendations, risk assessments, and management-ready decision documents. Qualifications: Education: University degree in electrical, mechanical or automotive engineering Experience: • In-depth understanding of electric drive system, powertrain architecture, HV system design and vehicle integration principle. • Rich Experience with requirements engineering, concept evaluation, and technical benchmarking in drive system area. • Deep knowledge on xEV powertrain system development process, HW and SW wise. • Familiarity with high-voltage safety, functional safety, diagnostics, and software-defined vehicle trends. • Basic understanding of system integration, testing, or validation of eDrive systems. • Basic understanding of cost, industrialization, supplier development, and validation processes. Specific knowledge / Key competencies: • fluent written/spoken English, German benificial • Strong system-thinking capability across vehicle, powertrain, HV, LV, E/E, and software interfaces. • Ability to structure complex technical topics into clear concept alternatives. • Strong analytical skills for benchmarking, KPI evaluation, and supplier comparison. • Good communication skills for cross-functional and international collaboration. • Proactive mindset with curiosity for external innovation and technology trends. • High ownership in driving open topics, aligning stakeholders, and preparing decision proposals. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Drive System Concept Engineer at Mercedes-Benz Group China Ltd.. Skills: Supplier technology evaluation, Market trend analysis. Define future BEV drive system concepts. Evaluate future BEV drive system concepts", "createdAt" : "2026-06-14T00:57:06.543", "lastUpdated" : "2026-06-15T07:54:22.859", "ingestTimestamp" : "2026-06-14T00:57:06.543", "mongoId" : "6a191e7758b93c861e39f6b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "High-voltage safety", "Functional safety", "Diagnostics", "Software-defined vehicle trends", "System integration", "EDrive system validation", "Cost analysis", "Industrialization processes", "Supplier development", "Validation processes", "Supplier technology evaluation", "Market trend analysis", "System thinking", "Concept evaluation", "Technical benchmarking", "Requirements engineering", "Supplier comparison", "Decision making", "Electric drive system", "Powertrain architecture", "HV system design", "Vehicle integration", "xEV powertrain system development", "eDrive systems" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a48e474d8ee00a05e2589", "title" : "Machine Learning Engineer II - Autonomous Driving Performance Evaluation", "company" : "May Mobility", "industry" : "Autonomous Driving", "salary" : { "min" : 172000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ann Arbor, Michigan, United States", "locations" : [ "Ann Arbor", "Michigan", "United States" ], "timestamp" : "2026-06-14T20:54:48.829", "fingerprint" : "4750003381d60d7852e5c0b143f7ba3d882c656d76a59743c5c925c9777419c2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/maymobility/jobs/8187068002", "externalId" : "8187068002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ann Arbor", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2813722,-83.7484616" } ], "locationText" : "Ann Arbor, Michigan, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, NumPy, Pandas, Machine Learning, Perception, Planning, Go, C++", "professionalSkills" : [ "Quantitative metrics design", "Statistical analyses", "Model behavior translation", "Decision-grade signals", "Data-centric ML methods", "Model performance lifting" ], "hardSkillsList" : [ "Loss analysis", "Error mining", "Data balancing", "Data curation", "Hard-example mining", "Resampling", "Reweighting", "Curriculum adjustments", "Balance adjustments", "Long-tail analysis", "Regression detection", "Noisy-metric analysis", "Embedding-based retrieval", "Active learning", "Auto-labeling" ], "hardSkills" : [ { "name" : "Loss analysis", "level" : "intermediate" }, { "name" : "Error mining", "level" : "intermediate" }, { "name" : "Data balancing", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Hard-example mining", "level" : "intermediate" }, { "name" : "Resampling", "level" : "intermediate" }, { "name" : "Reweighting", "level" : "intermediate" }, { "name" : "Curriculum adjustments", "level" : "intermediate" }, { "name" : "Balance adjustments", "level" : "intermediate" }, { "name" : "Long-tail analysis", "level" : "intermediate" }, { "name" : "Regression detection", "level" : "intermediate" }, { "name" : "Noisy-metric analysis", "level" : "intermediate" }, { "name" : "Embedding-based retrieval", "level" : "intermediate" }, { "name" : "Active learning", "level" : "intermediate" }, { "name" : "Auto-labeling", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Autonomous Driving, Performance Evaluation, Metrics and evaluation", "majorSkillsList" : [ "ML Engineering", "Autonomous Driving", "Performance Evaluation", "Metrics and evaluation" ], "coreResponsibilities" : "Design ML metrics pipelines, Implement ML metrics pipelines, Own ML metrics pipelines, Design evaluation pipelines, Implement evaluation pipelines, Own evaluation pipelines, Design test suites, Implement test suites, Own test suites, Build regression suites, Maintain regression suites, Build hillclimbing suites, Maintain hillclimbing suites, Automate triage of regressions, Drive model improvement, Analyze loss, Mine errors, Balance data for training, Cure data for training, Balance data for evaluation, Cure data for evaluation", "teamCollaboration" : "Autonomous Driving ML team", "domainKnowledge" : "Autonomous vehicles; Robotics; Multi-Policy Decision Making; Machine Learning; Perception; Planning", "domainList" : [ "autonomous-vehicles", "robotics", "multi-policy-decision-making", "machine-learning", "perception", "planning" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Robotics", "Multi-Policy Decision Making", "Machine Learning", "Perception", "Planning" ], "toolProficiency" : [ "MLflow", "Weights & Biases", "Plotly", "Grafana", "Streamlit" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Prolonged sitting, Prolonged standing, Prolonged computer use, 5-10% travel", "qualificationsBasic" : "Bachelor's or Master's degree, 2 years building evaluation systems, Python proficiency, Linux environments experience, Familiarity with ML concepts, Familiarity with Perception concepts, Familiarity with Planning concepts", "qualificationsPreferred" : "Proficiency in Go or C++, Familiarity with experiment tracking tooling, Familiarity with statistical methods, Familiarity with data mining at scale, Familiarity with visualization tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use ML Engineering concepts to measure, analyze and systematically improve the performance of May's Autonomous Driving stack through data, metrics, evaluation and test/hillclimbing suites. Essential Responsibilities Design, implement and own ML metrics and evaluation pipelines spanning offline model evaluation, simulation and on-road performance. Build and maintain test, regression and hillclimbing suites that gate model and stack releases, including automated triage of regressions to root cause. Drive model improvement through loss analysis, error mining, and data balancing/curation strategies for training and evaluation sets. Skills and Abilities Success in this role typically requires the following competencies: Designing quantitative metrics and statistical analyses that translate model behavior into actionable, decision-grade signals (significance, slicing, long-tail analysis). Building evaluation and analytics frameworks in production, including dataset slicing, result aggregation and dashboarding at scale. Applying data-centric ML methods such as hard-example mining, resampling/reweighting and curriculum or balance adjustments to lift model performance. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field with strong mathematical and engineering foundations. A minimum of 2 years building evaluation, metrics, or data analysis systems for ML in production. Proficiency in Python (NumPy/Pandas or equivalent dataframe tooling) with experience in Linux environments. Familiarity with basic concepts in Machine Learning (losses, train/eval splits, common failure modes) and basic Perception and Planning concepts in Autonomous Driving. Desirable Proficiency in Go or C++. Familiarity with experiment tracking and evaluation tooling such as MLflow, Weights & Biases, or in-house equivalents. Familiarity with statistical methods for A/B comparison, regression detection and noisy-metric analysis. Familiarity with data mining and curation at scale (embedding-based retrieval, active learning, auto-labeling). Familiarity with visualization and dashboarding tools (Plotly, Grafana, Streamlit or similar). Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Low 5-10% Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $172,000—$210,000 USD", "summaryDescription" : "Machine Learning Engineer II - Autonomous Driving Performance Evaluation at May Mobility. Skills: ML Engineering, Autonomous Driving, Performance Evaluation, Metrics and evaluation. Design ML metrics pipelines. Implement ML metrics pipelines", "postedDate" : "2026-06-11T19:04:42.459", "createdAt" : "2026-06-11T19:04:42.459", "lastUpdated" : "2026-06-14T20:54:48.829", "ingestTimestamp" : "2026-06-11T19:04:42.459", "mongoId" : "6a2a48e474d8ee00a05e2589", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 172000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Loss analysis", "Error mining", "Data balancing", "Data curation", "Hard-example mining", "Resampling", "Reweighting", "Curriculum adjustments", "Balance adjustments", "Long-tail analysis", "Regression detection", "Noisy-metric analysis", "Embedding-based retrieval", "Active learning", "Auto-labeling", "ML Engineering", "Autonomous Driving", "Performance Evaluation", "Metrics and evaluation", "Quantitative metrics design", "Statistical analyses", "Model behavior translation", "Decision-grade signals", "Data-centric ML methods", "Model performance lifting", "Autonomous vehicles", "Robotics", "Multi-Policy Decision Making", "Machine Learning", "Perception", "Planning", "MLflow", "Weights & Biases", "Plotly", "Grafana", "Streamlit" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "autonomy-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Driving" }, { "id" : "694ae6e370f0b99d589b3727", "title" : "Autonomous Command Pit Controller", "company" : "Côté Gold", "industry" : "Manufacturing", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Autonomous Command Pit Controller in the Mining industry in Canada, adjusted for the specific mine site location." }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-16T00:49:03.879", "fingerprint" : "99e0962c331c412f57b6b085e9422b662b849b6da20c3f48f0adbaf1372539cc", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=55661", "externalId" : "55661", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ontario", "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ontario, Canada", "technicalSkills" : "Robotics, Autonomous systems", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Autonomous mining operations" ], "hardSkills" : [ { "name" : "Autonomous mining operations", "level" : "intermediate" } ], "majorSkills" : "Autonomous operations reliability, Pit operations efficiency, Equipment operation, Troubleshooting", "majorSkillsList" : [ "Autonomous operations reliability", "Pit operations efficiency", "Equipment operation", "Troubleshooting" ], "coreResponsibilities" : "Coordinate all field aspects of Autonomous Operations Reliability, Advise control centre on operational changes, Optimize autonomous operations, Optimize individual truck operations, Coordinate and direct operations team members, Ensure safe operations, Ensure production operations, Perform regular survey activities, Perform validation activities, Conduct pit inspections, Conduct area surveys, Conduct field interactions, Conduct incident investigations, Create safe zones, Ensure AHS activities comply with regulations, Ensure AHS activities comply with mine guidelines, Identify truck behaviors requiring maintenance, Identify truck behaviors requiring optimization, Inform appropriate personnel, Interact with AHS system for manual interventions, Troubleshoot autonomous equipment, Run recovery scripts, Manually reset equipment, Ensure equipment is maintained, Ensure equipment is used in accordance with company, Ensure system configuration is optimal for AMT performance, Manage truck recovery, Manage truck intervention, Investigate occurrences causing AMTs to stop, Complete documentation accurately, Complete data entry accurately, Monitor field operations, Monitor truck performance, Ensure key performance indicators are met, Identify faults, Troubleshoot equipment, Ensure truck is available in correct mode, Commit to continuous learning, Commit to continuous improvement, Improve team's skill set, Watch for inefficiencies, Watch for problems, Share problems with others, Share inefficiencies with others, Troubleshoot problems collaboratively, Resolve problems collaboratively, Consider risk along five dimensions, Coordinate with other team members on site, Meet shift deliverables, Mentor new team members, Train new team members, Lend expertise to the team, Communicate clearly, Communicate effectively using provided tools, Ensure equipment logs are accurate, Ensure equipment logs are complete, Ensure shift logs are accurate, Ensure shift logs are complete, Communicate deficiencies to appropriate team members, Participate in multi-disciplinary teams", "teamCollaboration" : "Cross-functional teams; Multi-disciplinary teams", "domainKnowledge" : "Open pit mining; Autonomous mining operations", "domainList" : [ "open-pit-mining", "autonomous-mining-operations" ], "domainSpecificKnowledge" : [ "Open pit mining", "Autonomous mining operations" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Documentation completion; Data entry", "continuousLearning" : "Continuous learning; Continuous improvement; Improve team's skill set", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Ensure safe and production operations; Ensure AHS activities comply with regulations and mine guidelines; Ensure equipment is maintained and used according to standards; Ensure system configuration is optimal for AMT performance; Ensure key performance indicators are met; Deliver operational reliability", "qualificationsBasic" : "Grade 12 or equivalent, 5 or more years of experience in an open pit mining environment or autonomous operations environment", "qualificationsPreferred" : "College diplomas or university degrees in a related field such as mine engineering, robotics, or autonomous systems, Previous exposure to Autonomous Mining Systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve today. Define tomorrow. At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Autonomous Command Pit Controller The Autonomous Command Pit Controller is responsible for coordinating all field aspects of Autonomous Operations Reliability. Advises the control centre on operational changes that should be made to optimize the autonomous operations as well as the individual truck operations within the mine. Key Responsibilities Area 1: Pit operations efficiency. Coordinate and direct operations team members to ensure safe and production operations. Perform regular survey and validation activities of the Autonomous Operating Zone (AOZ) Conduct pit inspections and area surveys. Conduct field interactions and incident investigations. Create safe zones for others to work. Ensure all Autonomous Haulage System (AHS) activities are carried out in compliance with regulations and mine guidelines. Identify truck behaviors that requires maintenance or optimization and inform appropriate personnel. Interact with the AHS system as needed for manual interventions. Area 2: Safe and reliable equipment operation and troubleshooting. Troubleshoot autonomous equipment, run recovery scripts and manually reset equipment as required. Ensure all equipment is maintained and used in accordance with company health and safety standards. Responsible for ensuring system configuration is optimal for Autonomous Mine Truck (AMT) performance. Responsible for truck recovery and intervention. Responsible for investigating any occurrences that cause AMTs to stop. Accurate completion of documentation and data entry where necessary. Monitor field operations and truck performance to ensure key performance indicators are met Identify faults and troubleshoot equipment as required. Responsible for ensuring the truck is available in the correct mode as required. Area 3: Improve autonomous operations reliability. Commit to continuous learning and improvement. Continually seek to improve your team's skill set. Watch for inefficiencies or problems. Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost). Area 4: Work collaboratively with others to deliver operational reliability. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves Minimum Qualifications, Formal Education, Certifications or Equivalents Grade 12 or equivalent. College diplomas or university degrees in a related field such as mine engineering, robotics, or autonomous systems is considered an asset. Work Experience – Nature & Length 5 or more years of experience in an open pit mining environment or autonomous operations environment. Previous exposure to Autonomous Mining Systems is highly desirable, but not essential. Additional Qualifications – Competency Requirements Advanced computer literacy. Excellent communication skills (both verbal and written) Ability to work under pressure. Sound knowledge of open pit mining fundamentals and autonomous mining operations. What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier Canadian gold producer with operating gold mines on three continents. We are in growth-mode, with a robust pipeline of development and exploration projects in Canada, South America and Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. IAMGOLD was recently recognized by the Corporate Knights magazine on its Top 50 Corporate Citizens in Canada list. Canada", "summaryDescription" : "Autonomous Command Pit Controller at Côté Gold. Skills: Autonomous operations reliability, Pit operations efficiency, Equipment operation, Troubleshooting. Coordinate all field aspects of Autonomous Operations Reliability. 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We believe our clients and their families deserve the highest quality care delivered with compassion, excellence, and reliability. This position is eligible for a sign-on bonus of $1200 with the commitment of 2 night shifts/week. Why Nurses Choose our York BAYADA Office?: We pride ourselves on providing an excellent onboarding and training experience from Day 1. On your first day, you can expect to meet our Clinical Manager, Administrator, Scheduler and support staff. During your paid orientation, we cover virtual and hands-on training and enjoy providing lunch for you and our team! We have officially been open for 2 years in York County and are continuing to grow throughout York and soon Adams County! All BAYADA Skilled Nurses Enjoy: Weekly paychecks Flexible schedules that work for you One-to-one client care Preventive care covered for ALL employees (PRN included) Scholarship opportunities, free courses, and on-the-job training $1,200 nurse referral bonus You take care of others, BAYADA takes care of YOU: Preventive Care Coverage for ALL employees (PRN included) PTO Medical, Dental, and Vision benefits Employer-paid life insurance Employee Assistance Program (EAP) 401k with company match* Career advancement and training What your day looks like with BAYADA Private Duty: Travel to one client home near you on a schedule you choose Follow up with, execute, and properly document doctors' orders  Perform assessments and monitor clients' conditions Document observations, interventions, and evaluations We care for clients of all ages, diagnoses, and acuity levels. We offer a multitude of paid training to our nurses to feel comfortable and competent on their first shift. We're honored to be recognized as: Newsweek's Greatest Workplace for: Overall, Women, Parents & Families, Diversity  Forbes Best Employers for Veterans Available Shifts/Schedule: Morning, overnight, and weekends available 8’s, 10's, and 12's (full shift work) PRN or Part-time hours No weekend or minimum requirements Qualifications: Current valid nursing license in the U. S. Graduation from a qualified nursing program MAR-CPA As an accredited, regulated, certified, and licensed home health care provider, BAYADA complies with all state/local mandates. BAYADA is celebrating 50 years of compassion, excellence, and reliability. Learn more about our 50th anniversary celebration and how you can join in here. BAYADA Home Health Care, Inc., and its associated entities and joint venture partners, are Equal Opportunity Employers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, age, disability, pregnancy or maternity, sexual orientation, gender identity, citizenship status, military status, or any other similarly protected status in accordance with federal, state and local laws. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.", "summaryDescription" : "Private Duty Nurse (LPN/RN) at BAYADA Home Health Care", "postedDate" : "2026-06-15T23:19:14.230", "createdAt" : "2026-06-15T23:19:14.230", "lastUpdated" : "2026-06-16T09:18:16.093", "ingestTimestamp" : "2026-06-15T23:19:14.230", "mongoId" : "6a3056b3f292fd229cf2d267", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a48e474d8ee00a05e2585", "title" : "Machine Learning Engineer II - Autonomous Driving & Inference Runtime", "company" : "May Mobility", "industry" : "Autonomous Driving", "salary" : { "min" : 180000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Anywhere, USA", "locations" : [ "Anywhere", "USA" ], "timestamp" : "2026-06-14T20:11:52.836", "fingerprint" : "cb24389fa2bab6222ba70c20ed7e6fdb80d49aab2da208f98bca7e08f126cc14", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/maymobility/jobs/8502419002", "externalId" : "8502419002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CUDA, ONNX, PyTorch, TensorRT", "professionalSkills" : [ "Software architecture", "ML model optimization", "Edge deployment", "Latency budgets", "Throughput budgets" ], "hardSkillsList" : [ "GPU concurrency", "CPU concurrency", "Kernel fusion", "Memory optimization", "Quantization", "Distillation", "Pruning" ], "hardSkills" : [ { "name" : "GPU concurrency", "level" : "intermediate" }, { "name" : "CPU concurrency", "level" : "intermediate" }, { "name" : "Kernel fusion", "level" : "intermediate" }, { "name" : "Memory optimization", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Distillation", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Inference Runtime, Autonomous Driving, Edge Computing", "majorSkillsList" : [ "Machine Learning", "Inference Runtime", "Autonomous Driving", "Edge Computing" ], "coreResponsibilities" : "Deploy ML model architectures, Optimize ML model architectures, Own model-compilation pipeline, Own deployment pipeline, Establish latency budgets, Defend latency budgets, Establish throughput budgets, Defend throughput budgets, Profile AV stack, Conduct regression tests, Conduct integrity tests", "domainKnowledge" : "Autonomous Driving; Robotics; Edge devices; NVIDIA compute architectures; NVIDIA DRIVEOS; SoCs", "domainList" : [ "autonomous-driving", "robotics", "edge-devices", "nvidia-compute-architectures", "nvidia-driveos", "socs" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "Robotics", "Edge devices", "NVIDIA compute architectures", "NVIDIA DRIVEOS", "SoCs" ], "toolProficiency" : [ "TensorRT", "ONNX", "torch.compile", "Nsight", "Pytorch Profiler" ], "specialRequirements" : "Low travel (5-10%), Prolonged sitting, Prolonged standing, Prolonged computer use", "qualificationsBasic" : "Bachelor's or Master's degree, 2 years writing software, Proficiency in C/C++/CUDA/PyTorch, Experience in Linux environments, Familiarity with Perception concepts, Familiarity with Planning concepts", "qualificationsPreferred" : "Familiarity with NVIDIA compute architectures, Familiarity with common profiling tools, Understanding of Quantization techniques, Familiarity with NVIDIA DRIVEOS, Familiarity with scaling training throughput", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and Hardware concepts to deploy, optimize and scale State of the Art Machine Learning models for both Datacenter and Edge Vehicle devices. Essential Responsibilities Deploy and Optimize Machine Learning model architectures across May’s Autonomous Driving training and inference stacks. Own the model-compilation and deployment pipeline end-to-end. Establish and defend latency/throughput budgets across the AV stack, including profiling, regression and integrity tests. Skills and Abilities Success in this role typically requires the following competencies: Architecting software for low-level GPU/CPU concurrency such as CUDA streams, pinned memory, kernel fusion and memory-layout optimization. Use of compilation and runtime utilities such as TensorRT, ONNX and torch.compile for edge deployments. Apply quantization, distillation, and pruning to fit models within onboard compute and memory budgets. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations. A minimum of 2 years writing software to interface with GPU and ML systems. Proficiency in C/C++/CUDA/PyTorch and experience in Linux environments. Familiarity with basic Perception and Planning concepts in Autonomous Driving. Desirable Familiarity with NVIDIA compute architectures (Ada, Hopper, Blackwell, etc). Familiarity with common profiling tools such as Nsight, Pytorch Profiler, flamegraph. Understanding of Quantization (INT8/FP8/FP16) and other compression techniques. Familiarity with NVIDIA DRIVEOS architecture and SoCs (Orin/Thor). Familiarity with techniques for scaling training throughput (batching, FSDP, streaming dataloaders). Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Low 5-10% Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $180,000—$210,000 USD", "summaryDescription" : "Machine Learning Engineer II - Autonomous Driving & Inference Runtime at May Mobility. Skills: Machine Learning, Inference Runtime, Autonomous Driving, Edge Computing. Deploy ML model architectures. Optimize ML model architectures", "postedDate" : "2026-06-11T18:26:32.388", "createdAt" : "2026-06-11T18:26:32.388", "lastUpdated" : "2026-06-14T20:11:52.836", "ingestTimestamp" : "2026-06-11T18:26:32.388", "mongoId" : "6a2a48e474d8ee00a05e2585", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "GPU concurrency", "CPU concurrency", "Kernel fusion", "Memory optimization", "Quantization", "Distillation", "Pruning", "Machine Learning", "Inference Runtime", "Autonomous Driving", "Edge Computing", "Software architecture", "ML model optimization", "Edge deployment", "Latency budgets", "Throughput budgets", "Robotics", "Edge devices", "NVIDIA compute architectures", "NVIDIA DRIVEOS", "SoCs", "TensorRT", "ONNX", "torch.compile", "Nsight", "Pytorch Profiler" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "autonomy-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Autonomous Driving" }, { "id" : "6a306775f292fd229cfbd80e", "title" : "Heavy Equipment CDL Driver", "company" : "EquipmentShare", "industry" : "Logistics", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Heavy Equipment CDL Driver in Austin, United States, adjusted for industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "certifications" : [ "Class A CDL", "Chauffeur's license" ], "timestamp" : "2026-06-16T08:58:36.366", "fingerprint" : "7ee9b7c255131d191f00860b8ff705399fc901e036e928f9674a0b5e87a7c809", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=8008353", "externalId" : "8008353", "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", "minimumEducation" : "High School", "professionalSkills" : [ "Customer service" ], "majorSkills" : "CDL driving", "majorSkillsList" : [ "CDL driving" ], "coreResponsibilities" : "Operate vehicle according to laws, Transport loads safely and timely, Maneuver truck and trailer, Assist with loading goods, Load and unload goods, Maintain signed invoices, Deliver required documentation, Facilitate routine service on trucks, Report maintenance malfunctions", "domainKnowledge" : "Construction equipment rental", "domainList" : [ "construction-equipment-rental" ], "domainSpecificKnowledge" : [ "Construction equipment rental" ], "communicationSkills" : "Speak professionally; Speak courteously", "specialRequirements" : "On-call scheduling, Overtime pay, Prolonged periods sitting, Safety sensitive position", "qualificationsBasic" : "Class A CDL or chauffeur's license, Pass background and drug testing, Pass DOT physical, At least 21 years old, Able to lift and move up to 40 pounds, Clean shaven if required by customer", "qualificationsPreferred" : "CDL drivers may be required to be clean shaven", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a Heavy Equipment CDL Driver At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a CDL Delivery Driver at our rental facility in Central Austin, TX, and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Schedule: Monday to Friday, 7:00 AM to 5:00 PM, and offers overtime pay after working 40 hours. (This role is subject to on-call scheduling with additional compensation provided) Primary Responsibilities We don’t just deliver equipment - we deliver innovation. At EquipmentShare, our technology ensures that our drivers work efficiently and effectively by providing real-time access to fleet locations, work orders, and delivery details. Operates vehicle according to applicable state and federal transportation laws Transports loads safely and in a timely manner over required route, obeying all traffic laws and observing all safety regulations Deftly maneuvers truck and trailer into loading and unloading areas; follows loading crew signals Assists with loading of or loads and unloads goods and materials, using specialized equipment when warranted; unloads empty skids and returns all equipment to designated area Maintains signed invoices, shipping bills of lading, and other required paperwork; delivers documentation to shipping office or other appropriate staff when delivery route is complete Facilitates routine service on trucks, which may include checking oil, water, gasoline, and air; reports maintenance malfunctions to Shipping Supervisor Arranges trailers in shipping yards for optimum loading patterns Performs other related duties as assigned Why EquipmentShare? Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward. We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special. Perks & Benefits Monthly Family Dinner Night — We treat you and your family to dinner every month, because family comes first. (An employee favorite!) *restrictions apply Competitive compensation Full medical, dental, and vision coverage for full-time employees Generous PTO + paid holidays 401(k) + company match Tool and boot reimbursements (role dependent) Gym membership stipend + wellness programs (earn PTO and prizes!) Company events, food truck nights, and monthly dinner nights 16 hours of paid volunteer time per year — give back to the community you call home Career advancement, leadership training, and professional development opportunities About You You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment. We’re looking for people who: See challenges as opportunities Embrace change and continuous improvement Bring energy, effort, and optimism every day Skills & Qualifications Required Skills/Abilities: Strong interpersonal and customer service skills with the ability to speak professionally and courteously with customers and staff at delivery points Ability to remain focused in a busy environment Education and Experience: Must hold either a commercial drivers license (Class A CDL) or chauffeur’s license depending on state, appropriate for weight of vehicle to be operated Must pass background and drug testing as required by federal and/or state department(s) of transportation regulations Must pass DOT physical, as trucks driven are over 10k lbs Must be at least 21 years old to operate company vehicle. Physical Requirements: Prolonged periods sitting in a trailer cab for long periods of time Must be able to lift and move up to 40 pounds at a time Must be able to travel frequently CDL drivers may be required to be clean shaven in order to deliver to EquipmentShare customers who have this requirement This is a safety sensitive position and any offer of employment will be contingent on passing a 10 panel drug screen A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/ V. Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.", "summaryDescription" : "Heavy Equipment CDL Driver at EquipmentShare. Skills: CDL driving. Operate vehicle according to laws. Transport loads safely and timely", "postedDate" : "2026-06-15T23:28:43.406", "createdAt" : "2026-06-15T23:28:43.406", "lastUpdated" : "2026-06-16T08:58:36.366", "ingestTimestamp" : "2026-06-15T23:28:43.406", "mongoId" : "6a306775f292fd229cfbd80e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "CDL driving", "Customer service", "Construction equipment rental", "Class A CDL", "Chauffeur's license" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306775f292fd229cfbd80d", "title" : "Heavy Equipment CDL Driver", "company" : "EquipmentShare", "industry" : "Logistics", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Heavy Equipment CDL Driver in Lafayette, United States, adjusted for industry and company size." }, "location" : "Lafayette, Louisiana, United States", "locations" : [ "Lafayette", "Louisiana", "United States" ], "certifications" : [ "Class A CDL", "Chauffeur's license" ], "timestamp" : "2026-06-16T07:31:33.849", "fingerprint" : "c78cb119a18fda38ae9d1b1c76d5bc9e8be025c1a7325cbcdf075035a0592cd7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=8007708", "externalId" : "8007708", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lafayette", "state" : "Louisiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2262187,-92.0178202" } ], "locationText" : "Lafayette, Louisiana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "professionalSkills" : [ "Customer service" ], "hardSkillsList" : [ "Driving", "Equipment operation" ], "hardSkills" : [ { "name" : "Driving", "level" : "intermediate" }, { "name" : "Equipment operation", "level" : "intermediate" } ], "majorSkills" : "CDL Driving, Equipment delivery", "majorSkillsList" : [ "CDL Driving", "Equipment delivery" ], "coreResponsibilities" : "Operate vehicle according to laws, Transport loads safely and timely, Maneuver truck and trailer, Assist with loading goods, Load and unload goods, Maintain signed invoices, Deliver required documentation, Facilitate routine service on trucks, Report maintenance malfunctions", "teamCollaboration" : "Work with loading crew; Coordinate with Shipping Supervisor", "domainKnowledge" : "Transportation laws; Safety regulations", "domainList" : [ "transportation-laws", "safety-regulations" ], "domainSpecificKnowledge" : [ "Transportation laws", "Safety regulations" ], "toolProficiency" : [ "T3 platform" ], "communicationSkills" : "Speak professionally; Speak courteously", "documentationSkills" : "Maintain invoices; Maintain bills of lading", "continuousLearning" : "Career advancement; Leadership training; Professional development", "specialRequirements" : "On-call scheduling, Physical lifting up to 40 pounds, Frequent travel", "qualificationsBasic" : "Class A CDL or chauffeur's license, Pass background and drug testing, Pass DOT physical, At least 21 years old, Able to lift and move up to 40 pounds, Clean shaven (customer requirement)", "qualificationsPreferred" : "CDL drivers may be required to be clean shaven", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a Heavy Equipment CDL Driver At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a CDL Delivery Driver at our rental facility in Lafayette, LA, and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Schedule: Monday to Friday, 7:00 AM to 5:00 PM, and offers overtime pay after working 40 hours. (This role is subject to on-call scheduling with additional compensation provided) Primary Responsibilities We don’t just deliver equipment - we deliver innovation. At EquipmentShare, our technology ensures that our drivers work efficiently and effectively by providing real-time access to fleet locations, work orders, and delivery details. Operates vehicle according to applicable state and federal transportation laws Transports loads safely and in a timely manner over required route, obeying all traffic laws and observing all safety regulations Deftly maneuvers truck and trailer into loading and unloading areas; follows loading crew signals Assists with loading of or loads and unloads goods and materials, using specialized equipment when warranted; unloads empty skids and returns all equipment to designated area Maintains signed invoices, shipping bills of lading, and other required paperwork; delivers documentation to shipping office or other appropriate staff when delivery route is complete Facilitates routine service on trucks, which may include checking oil, water, gasoline, and air; reports maintenance malfunctions to Shipping Supervisor Arranges trailers in shipping yards for optimum loading patterns Performs other related duties as assigned Why EquipmentShare? Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward. We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special. Perks & Benefits Monthly Family Dinner Night — We treat you and your family to dinner every month, because family comes first. (An employee favorite!) *restrictions apply Competitive compensation Full medical, dental, and vision coverage for full-time employees Generous PTO + paid holidays 401(k) + company match Tool and boot reimbursements (role dependent) Gym membership stipend + wellness programs (earn PTO and prizes!) Company events, food truck nights, and monthly dinner nights 16 hours of paid volunteer time per year — give back to the community you call home Career advancement, leadership training, and professional development opportunities About You You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment. We’re looking for people who: See challenges as opportunities Embrace change and continuous improvement Bring energy, effort, and optimism every day Skills & Qualifications Required Skills/Abilities: Strong interpersonal and customer service skills with the ability to speak professionally and courteously with customers and staff at delivery points Ability to remain focused in a busy environment Education and Experience: Must hold either a commercial drivers license (Class A CDL) or chauffeur’s license depending on state, appropriate for weight of vehicle to be operated Must pass background and drug testing as required by federal and/or state department(s) of transportation regulations Must pass DOT physical, as trucks driven are over 10k lbs Must be at least 21 years old to operate company vehicle. Physical Requirements: Prolonged periods sitting in a trailer cab for long periods of time Must be able to lift and move up to 40 pounds at a time Must be able to travel frequently CDL drivers may be required to be clean shaven in order to deliver to EquipmentShare customers who have this requirement This is a safety sensitive position and any offer of employment will be contingent on passing a 10 panel drug screen A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/ V. Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.", "summaryDescription" : "Heavy Equipment CDL Driver at EquipmentShare. Skills: CDL Driving, Equipment delivery. Operate vehicle according to laws. Transport loads safely and timely", "postedDate" : "2026-06-15T23:26:39.928", "createdAt" : "2026-06-15T23:26:39.928", "lastUpdated" : "2026-06-16T07:31:33.849", "ingestTimestamp" : "2026-06-15T23:26:39.928", "mongoId" : "6a306775f292fd229cfbd80d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Driving", "Equipment operation", "CDL Driving", "Equipment delivery", "Customer service", "Transportation laws", "Safety regulations", "Class A CDL", "Chauffeur's license", "T3 platform" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306775f292fd229cfbd80c", "title" : "Heavy Equipment CDL Driver", "company" : "EquipmentShare", "industry" : "Logistics", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Heavy Equipment CDL Driver in Hialeah, United States, adjusted for industry and company size." }, "location" : "Hialeah, Florida, United States", "locations" : [ "Hialeah", "Florida", "United States" ], "certifications" : [ "Class A CDL", "Chauffeur's license" ], "timestamp" : "2026-06-16T06:48:38.599", "fingerprint" : "a22dfc41d7dcca4ddbf4e8b6b76f5a402cbe94657673c97f75eca6956137835c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=7998411", "externalId" : "7998411", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hialeah", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "25.8267775,-80.2814009" } ], "locationText" : "Hialeah, Florida, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Customer service" ], "majorSkills" : "CDL driving, Equipment delivery", "majorSkillsList" : [ "CDL driving", "Equipment delivery" ], "coreResponsibilities" : "Operate vehicle according to laws, Transport loads safely and timely, Maneuver truck and trailer, Assist with loading goods, Load and unload goods, Unload empty skids, Return equipment to designated area, Maintain signed invoices, Deliver required documentation, Facilitate routine service on trucks, Check oil, water, gasoline, Report maintenance malfunctions, Arrange trailers in shipping yards, Perform other related duties", "teamCollaboration" : "Work with loading crew; Report to Shipping Supervisor", "domainKnowledge" : "Construction equipment rental", "domainList" : [ "construction-equipment-rental" ], "domainSpecificKnowledge" : [ "Construction equipment rental" ], "toolProficiency" : [ "T3 platform" ], "communicationSkills" : "Speak professionally and courteously", "documentationSkills" : "Maintain signed invoices; Maintain shipping bills of lading", "continuousLearning" : "Professional development opportunities", "specialRequirements" : "Subject to on-call scheduling, Physical lifting up to 40 pounds, Frequent travel required, Safety sensitive position, Pass 10 panel drug screen, Pass background check", "qualificationsBasic" : "Class A CDL or chauffeur's license, Pass background and drug testing, Pass DOT physical, At least 21 years old, Able to lift and move up to 40 pounds, Be clean shaven if required by customer", "qualificationsPreferred" : "CDL drivers may be required to be clean shaven", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a Heavy Equipment CDL Driver At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a CDL Delivery Driver at our rental facility in Miami, FL and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Schedule: Monday to Friday, 7:00 AM to 5:00 PM, and offers overtime pay after working 40 hours. (This role is subject to on-call scheduling with additional compensation provided) Primary Responsibilities We don’t just deliver equipment - we deliver innovation. At EquipmentShare, our technology ensures that our drivers work efficiently and effectively by providing real-time access to fleet locations, work orders, and delivery details. Operates vehicle according to applicable state and federal transportation laws Transports loads safely and in a timely manner over required route, obeying all traffic laws and observing all safety regulations Deftly maneuvers truck and trailer into loading and unloading areas; follows loading crew signals Assists with loading of or loads and unloads goods and materials, using specialized equipment when warranted; unloads empty skids and returns all equipment to designated area Maintains signed invoices, shipping bills of lading, and other required paperwork; delivers documentation to shipping office or other appropriate staff when delivery route is complete Facilitates routine service on trucks, which may include checking oil, water, gasoline, and air; reports maintenance malfunctions to Shipping Supervisor Arranges trailers in shipping yards for optimum loading patterns Performs other related duties as assigned Why EquipmentShare? Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward. We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special. Perks & Benefits Monthly Family Dinner Night — We treat you and your family to dinner every month, because family comes first. (An employee favorite!) *restrictions apply Competitive compensation Full medical, dental, and vision coverage for full-time employees Generous PTO + paid holidays 401(k) + company match Tool and boot reimbursements (role dependent) Gym membership stipend + wellness programs (earn PTO and prizes!) Company events, food truck nights, and monthly dinner nights 16 hours of paid volunteer time per year — give back to the community you call home Career advancement, leadership training, and professional development opportunities About You You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment. We’re looking for people who: See challenges as opportunities Embrace change and continuous improvement Bring energy, effort, and optimism every day Skills & Qualifications Required Skills/Abilities: Strong interpersonal and customer service skills with the ability to speak professionally and courteously with customers and staff at delivery points Ability to remain focused in a busy environment Education and Experience: Must hold either a commercial drivers license (Class A CDL) or chauffeur’s license depending on state, appropriate for weight of vehicle to be operated Must pass background and drug testing as required by federal and/or state department(s) of transportation regulations Must pass DOT physical, as trucks driven are over 10k lbs Must be at least 21 years old to operate company vehicle. Physical Requirements: Prolonged periods sitting in a trailer cab for long periods of time Must be able to lift and move up to 40 pounds at a time Must be able to travel frequently CDL drivers may be required to be clean shaven in order to deliver to EquipmentShare customers who have this requirement This is a safety sensitive position and any offer of employment will be contingent on passing a 10 panel drug screen A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/ V. Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.", "summaryDescription" : "Heavy Equipment CDL Driver at EquipmentShare. Skills: CDL driving, Equipment delivery. Operate vehicle according to laws. Transport loads safely and timely", "postedDate" : "2026-06-15T23:24:41.298", "createdAt" : "2026-06-15T23:24:41.298", "lastUpdated" : "2026-06-16T06:48:38.599", "ingestTimestamp" : "2026-06-15T23:24:41.298", "mongoId" : "6a306775f292fd229cfbd80c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "CDL driving", "Equipment delivery", "Customer service", "Construction equipment rental", "Class A CDL", "Chauffeur's license", "T3 platform" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306775f292fd229cfbd80f", "title" : "Heavy Equipment CDL Driver", "company" : "EquipmentShare", "industry" : "Logistics", "salary" : { "min" : 45760.0, "max" : 70720.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hamilton, Ohio, United States", "locations" : [ "Hamilton", "Ohio", "United States" ], "certifications" : [ "Class A CDL", "Chauffeur’s license" ], "timestamp" : "2026-06-16T08:10:05.728", "fingerprint" : "8aac25b05a3978a7372e366d16f93624d8beb9947226a12ddeb8e6d522a8614d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=8008449", "externalId" : "8008449", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamilton", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.2085354,-84.5501874" } ], "locationText" : "Hamilton, Ohio, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Customer service" ], "hardSkillsList" : [ "Vehicle operation" ], "hardSkills" : [ { "name" : "Vehicle operation", "level" : "intermediate" } ], "majorSkills" : "CDL delivery", "majorSkillsList" : [ "CDL delivery" ], "coreResponsibilities" : "Operate vehicle according to laws, Transport loads safely and timely, Maneuver truck and trailer, Assist with loading goods, Load and unload goods, Maintain signed invoices, Deliver documentation, Facilitate routine service on trucks, Check oil, water, gasoline, Report maintenance malfunctions, Arrange trailers in shipping yards", "domainKnowledge" : "Construction industry", "domainList" : [ "construction-industry" ], "domainSpecificKnowledge" : [ "Construction industry" ], "communicationSkills" : "Speak professionally and courteously", "documentationSkills" : "Maintain signed invoices; Maintain shipping bills", "continuousLearning" : "Professional development opportunities", "specialRequirements" : "Subject to on-call scheduling, Prolonged periods sitting, Must be able to travel frequently, Safety sensitive position, Pass 10 panel drug screen, Pass background check", "qualificationsBasic" : "Commercial drivers license (Class A CDL) or chauffeur’s license, Pass background and drug testing, Pass DOT physical, At least 21 years old, Able to lift and move up to 40 pounds, Be clean shaven", "qualificationsPreferred" : "CDL drivers may be required to be clean shaven", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a Heavy Equipment CDL Driver At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a CDL Delivery Driver at our rental facility in Cincinnati, OH, and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Schedule: Monday to Friday, 7:00 AM to 5:00 PM, and offers overtime pay after working 40 hours. (This role is subject to on-call scheduling with additional compensation provided) Salary range: $22-$34. Factors including past experience and location may affect final compensation rate. Primary Responsibilities We don’t just deliver equipment - we deliver innovation. At EquipmentShare, our technology ensures that our drivers work efficiently and effectively by providing real-time access to fleet locations, work orders, and delivery details. Operates vehicle according to applicable state and federal transportation laws Transports loads safely and in a timely manner over required route, obeying all traffic laws and observing all safety regulations Deftly maneuvers truck and trailer into loading and unloading areas; follows loading crew signals Assists with loading of or loads and unloads goods and materials, using specialized equipment when warranted; unloads empty skids and returns all equipment to designated area Maintains signed invoices, shipping bills of lading, and other required paperwork; delivers documentation to shipping office or other appropriate staff when delivery route is complete Facilitates routine service on trucks, which may include checking oil, water, gasoline, and air; reports maintenance malfunctions to Shipping Supervisor Arranges trailers in shipping yards for optimum loading patterns Performs other related duties as assigned Why EquipmentShare? Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward. We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special. Perks & Benefits Monthly Family Dinner Night — We treat you and your family to dinner every month, because family comes first. (An employee favorite!) *restrictions apply Competitive compensation Full medical, dental, and vision coverage for full-time employees Generous PTO + paid holidays 401(k) + company match Tool and boot reimbursements (role dependent) Gym membership stipend + wellness programs (earn PTO and prizes!) Company events, food truck nights, and monthly dinner nights 16 hours of paid volunteer time per year — give back to the community you call home Career advancement, leadership training, and professional development opportunities About You You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment. We’re looking for people who: See challenges as opportunities Embrace change and continuous improvement Bring energy, effort, and optimism every day Skills & Qualifications Required Skills/Abilities: Strong interpersonal and customer service skills with the ability to speak professionally and courteously with customers and staff at delivery points Ability to remain focused in a busy environment Education and Experience: Must hold either a commercial drivers license (Class A CDL) or chauffeur’s license depending on state, appropriate for weight of vehicle to be operated Must pass background and drug testing as required by federal and/or state department(s) of transportation regulations Must pass DOT physical, as trucks driven are over 10k lbs Must be at least 21 years old to operate company vehicle. Physical Requirements: Prolonged periods sitting in a trailer cab for long periods of time Must be able to lift and move up to 40 pounds at a time Must be able to travel frequently CDL drivers may be required to be clean shaven in order to deliver to EquipmentShare customers who have this requirement This is a safety sensitive position and any offer of employment will be contingent on passing a 10 panel drug screen A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/ V. Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.", "summaryDescription" : "Heavy Equipment CDL Driver at EquipmentShare. Skills: CDL delivery. Operate vehicle according to laws. Transport loads safely and timely", "postedDate" : "2026-06-15T23:23:31.105", "createdAt" : "2026-06-15T23:23:31.105", "lastUpdated" : "2026-06-16T08:10:05.728", "ingestTimestamp" : "2026-06-15T23:23:31.105", "mongoId" : "6a306775f292fd229cfbd80f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45760, "salaryAnnualMax" : 70720, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Vehicle operation", "CDL delivery", "Customer service", "Construction industry", "Class A CDL", "Chauffeur’s license" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307078f292fd229cff51f1", "title" : "Heavy Equipment Technician, Journeyman", "company" : "CEDA", "industry" : "Oil And Energy", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Lead Heavy Equipment Technician in Fort McMurray, Canada, adjusted for industry and seniority." }, "location" : "Fort McMurray, AB, Canada", "locations" : [ "Fort McMurray", "AB", "Canada" ], "certifications" : [ "Journeyman Heavy Equipment Technician Red Seal", "CSO (Common Safety Orientation)" ], "timestamp" : "2026-06-16T10:47:47.812", "fingerprint" : "dab9ab744731165cf779db5d5b5fd39161e65726e6d897ca53d06cfff6e4331d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CEDA1/744000132246774-heavy-equipment-technician-journeyman-", "externalId" : "744000132246774", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort McMurray", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "56.7291997,-111.3885221" } ], "locationText" : "Fort McMurray, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Hydraulic systems, Electrical systems, Diesel engines, John Deere engines, Cummins engines, CAT engines", "professionalSkills" : [ "Diagnostic", "Repair" ], "hardSkillsList" : [ "Preventative maintenance", "Troubleshooting", "Equipment inspection" ], "hardSkills" : [ { "name" : "Preventative maintenance", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Equipment inspection", "level" : "intermediate" } ], "majorSkills" : "Heavy Equipment Repair, Diesel Engine Maintenance, Hydraulic Systems", "majorSkillsList" : [ "Heavy Equipment Repair", "Diesel Engine Maintenance", "Hydraulic Systems" ], "coreResponsibilities" : "Perform preventative maintenance, Diagnose diesel engines, Repair diesel engines, Diagnose after treatmentissions, Repair after treatmentissions, Diagnose hydraulic systems, Repair hydraulic systems, Diagnose pumps, Repair pumps, Troubleshoot issues, Inspect equipment, Replace defective parts, Repair defective parts, Interpret work orders, Attend daily tool box meetings, Attend safety meetings, Complete health and safety paperwork, Complete environment paperwork", "teamCollaboration" : "Working in a team", "domainKnowledge" : "Stationary Diesel Engines; Hydraulic Systems; Trailer Units; Dredges; Marine equipment; Pump systems", "domainList" : [ "stationary-diesel-engines", "hydraulic-systems", "trailer-units", "dredges", "marine-equipment", "pump-systems" ], "domainSpecificKnowledge" : [ "Stationary Diesel Engines", "Hydraulic Systems", "Trailer Units", "Dredges", "Marine equipment", "Pump systems" ], "documentationSkills" : "Completing paperwork", "continuousLearning" : "Skill development", "problemSolvingSkills" : "Troubleshoot issues", "specialRequirements" : "14x14 rotation, Night shift, On-call schedule, Weight handling up to 50 lbs, Provide own tools", "qualificationsBasic" : "Journeyman Heavy Equipment Technician Red Seal, CSO (Common Safety Orientation), Valid Class 5 license with less than 5 demerits, Weight handling of up to 50 lbs, Able to provide a negative pre-employment drug and alcohol test", "qualificationsPreferred" : "Experience in hydraulic systems, Experience in electrical systems, Experience in dredge systems, Experience in pump systems, Oil & Gas experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "CEDA specializes in industrial maintenance, turnaround and environmental services and has a proud history in North America with roots extending back to 1973. Our talented and experienced team is committed to delivering world-class solutions to help our clients maximize production, mitigate risk and avoid costly outages, always with safety top of mind. We are committed to putting the right people, in the right place, at the right time while offering an inclusive work environment, opportunities for professional development, a competitive compensation package and excellent benefits. If you’re ready to take the next step in your career, CEDA has opportunities for you! CEDA is currently seeking 2 Heavy Duty Technician, Journeyman to join the Dredging and Fluid Management team in Fort McMurray, AB. This is a full time site-based opportunity with accommodation and flights provided. What we offer: * 14x14 rotation, night shift * Accommodations and flights provided * Safety is Number 1: we watch out for one another and pride ourselves in doing the work right the first time * Work with an excellent team completing the majority of repairs in house, allowing for continuous growth and skill development Key Duties and Responsibilities * Preventative maintenance on Stationary Diesel Engines, Hydraulic Systems, Trailer Units, Dredges, Barges & Marine equipment * Ongoing diagnostic and repair of diesel engines, after treatment/emissions, hydraulic systems and pumps * Troubleshoot issues, inspect equipment and replace or repair defective parts * Interpret work orders * Attend daily tool box and safety meetings as scheduled * Ensure all health, safety and environment practices and paperwork are complete for all day to day activities * Other duties as assigned Role Specifications * Journeyman Heavy Equipment Technician Red Seal required * CSO (Common Safety Orientation) required * Experience in hydraulic, electrical, dredge and pump systems an asset * Oil & Gas experience an asset * Valid Class 5 license with less than 5 demerits * Weight handling of up to 50 lbs * Able to provide a negative pre-employment drug and alcohol test Skills * You’re happiest working in a team, sharing a laugh with your coworkers and getting the job done safely * You’re meticulous – you have no problem completing the required paperwork for projects and jobs * Your knowledge John Deere, Cummins and CAT engines would set you up for success * You’re flexible - willing to work an on-call schedule as needed and adapt to changing work environments * Computers are your friend, not your enemy * Familiarity with hydraulic and electrical systems and the ability to provide your own tools would be assets. ## Additional Information The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhausted list of all responsibilities, duties and skills required. To learn more, please also visit our page to view [upcoming job fairs](http://www.ceda.com/careers/upcoming-events.cfm) and events or follow us on [Facebook](https://www.facebook.com/CEDA.International/).", "summaryDescription" : "Heavy Equipment Technician, Journeyman at CEDA. Skills: Heavy Equipment Repair, Diesel Engine Maintenance, Hydraulic Systems. Perform preventative maintenance. Diagnose diesel engines", "postedDate" : "2026-06-15T16:50:38.000", "createdAt" : "2026-06-16T01:31:07.851", "lastUpdated" : "2026-06-16T10:47:47.812", "ingestTimestamp" : "2026-06-16T01:31:07.851", "mongoId" : "6a307078f292fd229cff51f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Preventative maintenance", "Troubleshooting", "Equipment inspection", "Heavy Equipment Repair", "Diesel Engine Maintenance", "Hydraulic Systems", "Diagnostic", "Repair", "Stationary Diesel Engines", "Trailer Units", "Dredges", "Marine equipment", "Pump systems", "Journeyman Heavy Equipment Technician Red Seal", "CSO (Common Safety Orientation)" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b8af292fd229cf5ece8", "title" : "Mitarbeiter Technischer Kundenservice im Hause unseres Kunden VW-Trucks (m/w/d)", "company" : "LEONI", "industry" : "Automotive", "salary" : { "min" : 47000.0, "max" : 62000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technical Customer Service role in Nuremberg, Germany, adjusted for the automotive industry and company size." }, "location" : "Nuremberg, BY, Germany", "locations" : [ "Nuremberg", "BY", "Germany" ], "certifications" : [ "QM specialist training" ], "timestamp" : "2026-06-16T09:37:06.003", "fingerprint" : "5b068025705d41fe951644874ad8318f9adab081040d7f4a2a6e356c042e37b5", "source" : "smartrecruiters", "language" : "de", "applyUrl" : "https://jobs.smartrecruiters.com/LEONI1/744000132231504-mitarbeiter-technischer-kundenservice-im-hause-unseres-kunden-vw-trucks-m-w-d-", "externalId" : "744000132231504", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nuremberg", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.4538720,11.0772980" } ], "locationText" : "Nuremberg, Bavaria, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Technical Vocational Training", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "MS Office", "professionalSkills" : [ "Quality management", "Product development", "Logistics" ], "hardSkillsList" : [ "Product inspection", "Error analysis", "Root cause analysis", "Technical change management", "Logistical tasks" ], "hardSkills" : [ { "name" : "Product inspection", "level" : "intermediate" }, { "name" : "Error analysis", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Technical change management", "level" : "intermediate" }, { "name" : "Logistical tasks", "level" : "intermediate" } ], "majorSkills" : "Quality management, Customer service, Technical support", "majorSkillsList" : [ "Quality management", "Customer service", "Technical support" ], "coreResponsibilities" : "Act as first point of contact, Coordinate daily error resolution, Perform product checks, Determine error causes, Initiate corrective actions, Develop 8D process, Document daily errors, Create monthly management report, Participate in quality circles, Implement technical changes, Evaluate technical changes, Order components and spare parts, Handle administrative logistical tasks, Manage rework tools, Perform rework on cable sets, Coordinate rework activities, Organize immediate actions", "teamCollaboration" : "Work with production site; Work with sub-suppliers; Customer interaction", "projectManagementSkills" : [ "8D process" ], "domainKnowledge" : "Automotive industry; Wiring harness systems", "domainList" : [ "automotive-industry", "wiring-harness-systems" ], "domainSpecificKnowledge" : [ "Automotive industry", "Wiring harness systems" ], "toolProficiency" : [ "MS Office" ], "communicationSkills" : "Customer communication", "documentationSkills" : "Error documentation; Management reports", "continuousLearning" : "Learning and training offers", "problemSolvingSkills" : "Error analysis; Root cause analysis", "specialRequirements" : "Occasional business trips", "qualificationsBasic" : "Technical Vocational Training, Several years of professional experience, Good English skills, EDV skills (MS Office)", "qualificationsPreferred" : "Experience in quality management, Completed further training as QM specialist, Willingness for occasional (international) business trips", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LEONI ist ein globaler Anbieter von Produkten, Lösungen und Dienstleistungen für das Energie- und Datenmanagement in der Automobilindustrie. Mit rund 86.000 Mitarbeitenden in 21 Ländern und einem Umsatz von 3,9 Milliarden Euro im Jahr 2025 (ohne die ehemalige Automotive Cable Solutions Division) gehören wir zu den führenden Anbietern komplexer Bordnetzsysteme und kundenspezifischer Kabelsätze. Seit 2025 sind wir Teil der Luxshare-Gruppe, eines globalen Technologieunternehmens mit Hauptsitz in China. Gemeinsam gestalten wir die Zukunft der Mobilität. Werden Sie Teil unseres Teams und treiben Sie die Transformation der Automobilwelt mit voran. * Erster Ansprechpartner für den Kunden bei Qualitätsbeanstandungen und Produktänderungen * Tägliche Abstimmung und Zuordnung der aufgetretenen Fehler zwischen LEONI und dem Kunden * Durchführung von Produktüberprüfungen anhand der jeweiligen Produktzeichnungen * Ermittlung von Fehlerursachen und -verursachern sowie Einleitung von Abstellmaßnahmen in Zusammenarbeit mit dem Produktionsstandort, der * Entwicklung und Sub-Lieferanten (8D-Prozess) * Verantwortung für die tägliche Fehlerdokumentation und Erstellung eines monatlichen Managementreports * Teilnahme an Qualitätszirkeln beim Kunden * Umsetzung technischer Änderungen sowie Bewertung der Wirksamkeit umgesetzter technischer Änderungen und Fehlerabstellmaßnahmen am Bordnetz * beim Einbau im Fahrzeug bzw. im eingebauten Zustand * Bestellung von Komponenten und Ersatzteilen für Kunden oder Eigenbedarf (z. B. Reparaturmaterial) * Abwicklung administrativer logistischer Aufgaben * Verwaltung der Nacharbeitswerkzeuge * Durchführen von Nacharbeitsmaßnahmen an Kabelsätzen * Koordination der Nacharbeitstätigkeiten durch die Bandbetreuung * Organisation von Sofortmaßnahmen mit dem Fertigungsstandort ## Qualifications * Techniker/Meister bzw. abgeschlossene technische Berufsausbildung (z.B. KFZ-Elektroniker, Kfz-Mechaniker, Werkzeugbauer) mit mehrjähriger * fachspezifischer Berufserfahrung * Berufserfahrung im Bereich Qualitätsmanagement idealerweise mit abgeschlossener Weiterbildung zur QM-Fachkraft * Bereitschaft zu gelegentlichen (internationalen) Dienstreisen * Ausgeprägte Einsatzbereitschaft, Kommunikationsfähigkeit sowie Geschick im Umgang/Zusammenarbeit mit dem Kunden * Sehr gute Deutschkenntnisse und gute Englischkenntnisse in Wort und Schrift * EDV-Kenntnisse (MS Office) ## Additional Information * Selbstbestimmtes, flexibles Arbeiten durch Vertrauensarbeitszeit * Attraktive leistungsorientierte Vergütung mit Urlaubs- und Weihnachtsgeld in einem tarifgebundenen Unternehmen * Gemeinsam mit uns wachsen durch die vielfältigen Lern- und Trainingsangebote der LEONI Academy * Fit und gesund bleiben durch regelmäßige Gesundheitstage, präventive Gesundheitschecks und gemeinsame Sportgruppen Es sind stets Personen aller Geschlechter gleichermaßen gemeint; zur sprachlichen Vereinfachung und besseren Lesbarkeit wird im Text nur die männliche Form verwendet. LEONI verarbeitet Ihre Bewerbungsdaten in einem unternehmenseinheitlichen IT-System und nutzt hierfür ausländische Dienstleister. Mit dem Absenden Ihrer Bewerbung erklären Sie sich mit diesem Verfahren einverstanden. LEONI stellt die Einhaltung des Datenschutzes sicher. LEONI Bordnetz-Systeme GmbH", "summaryDescription" : "Mitarbeiter Technischer Kundenservice im Hause unseres Kunden VW-Trucks (m/w/d) at LEONI. Skills: Quality management, Customer service, Technical support. Act as first point of contact. 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Our Lancaster team has opportunities in: - Elizabethtown, Middletown, Hershey, Hummelstown, Mt Joy, Lebanon, and more BAYADA Offers Our Nurses: One on one care (Private Duty) Flexible scheduling based on your preferences Weekly pay Preventive Care Coverage for ALL employees (PRN included) PTO Short commute times – we match you with cases nearest you Medical, Dental, and Vision benefits Company-paid life insurance Employee Assistance Program 401K Career advancement and training BAYADA Home Health Care was founded on the principle that health care gets better when clients get better care at home—the place they most want to be. Delivering care is our highest priority and greatest joy. How we prepare our Nurses for success: Paid training from day 1 in the office, in the home, and online Practice with award-winning adult and pediatric Simulation labs 24/7 on call clinical support Electronic charting using Statewise All training is paid for and provided by BAYADA We care for clients of all ages, diagnoses, and acuity levels. We offer a multitude of paid training to our nurses to feel comfortable and competent on their first shift. Available Shifts: Days, Evenings, Nights, Weekend 8’s, 10's or 12's (full shift work) Part-Time, Full-Time, PRN Requirements: Current valid nursing license in the U. S. Graduation from a qualified nursing program MAR-CPA As an accredited, regulated, certified, and licensed home health care provider, BAYADA complies with all state/local mandates. BAYADA is celebrating 50 years of compassion, excellence, and reliability. Learn more about our 50th anniversary celebration and how you can join in here. BAYADA Home Health Care, Inc., and its associated entities and joint venture partners, are Equal Opportunity Employers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, age, disability, pregnancy or maternity, sexual orientation, gender identity, citizenship status, military status, or any other similarly protected status in accordance with federal, state and local laws. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.", "summaryDescription" : "Private Duty Nurse (LPN/RN) at BAYADA Home Health Care", "postedDate" : "2026-06-15T23:17:20.832", "createdAt" : "2026-06-15T23:17:20.832", "lastUpdated" : "2026-06-16T07:18:53.438", "ingestTimestamp" : "2026-06-15T23:17:20.832", "mongoId" : "6a3056b3f292fd229cf2d266", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 68000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305860f292fd229cf41942", "title" : "Heavy Equipment Shop Mechanic", "company" : "DiGeronimo Companies", "industry" : "Manufacturing", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Heavy Equipment Shop Mechanic in Pittsburgh, adjusted for the construction industry and company size." }, "location" : "Pittsburgh, PA", "locations" : [ "Pittsburgh", "PA", "Cleveland", "OH" ], "timestamp" : "2026-06-16T08:40:00.975", "fingerprint" : "fd487c8e6b7d52cde8b3111aac9a2257a5c21ee9b076b414aa9cdc8cc86c0a3b", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://independence-excavating.breezy.hr/p/5e8f93c2db52-heavy-equipment-shop-mechanic-independence-excavating", "externalId" : "5e8f93c2db52", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Equipment maintenance" ], "hardSkills" : [ { "name" : "Equipment maintenance", "level" : "intermediate" } ], "majorSkills" : "Heavy equipment repair", "majorSkillsList" : [ "Heavy equipment repair" ], "coreResponsibilities" : "Maintain equipment fleet", "domainKnowledge" : "Heavy equipment", "domainList" : [ "heavy-equipment" ], "domainSpecificKnowledge" : [ "Heavy equipment" ], "qualificationsBasic" : "Hands-on role, Maintain equipment fleet", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Heavy Equipment Shop Mechanic Are you seeking a hands-on role where every day brings a new challenge? 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As a Project Manager, you will manage all aspects of the assigned project, including budgets, schedules, submittals, RFI’s, contracts, purchase orders as well", "summaryDescription" : "Heavy Civil Project Manager at Independence Excavating. Manage all project aspects. Manage project budgets", "createdAt" : "2026-06-15T22:10:56.825", "lastUpdated" : "2026-06-16T05:24:17.101", "ingestTimestamp" : "2026-06-15T22:10:56.825", "mongoId" : "6a305860f292fd229cf4193e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f786", "title" : "Drive Systems – Thermal Management Function Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 350000.0, "max" : 600000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Automotive Drive Systems Engineer in China, adjusted for mid-seniority and full-time employment." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-15T22:19:58.053", "fingerprint" : "3435b68896869973ffcb6c927c08a2863091517216ae80e2546fcdb4624fc59c", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=893656", "externalId" : "893656", "industryFunction" : { }, "structuredLocations" : [ { "city" : "beijing", "state" : "beijing", "country" : "China", "continent" : "asia", "source" : "locations-index", "workMode" : "onsite", "geo" : "39.9075,116.39723" }, { "city" : "hamilton", "state" : "hamilton city", "country" : "Bermuda", "continent" : "north america", "source" : "locations-index", "workMode" : "onsite", "geo" : "32.2949,-64.78303" } ], "locationText" : "Multiple Locations; China (Mainland)-Beijing-Beijing; 8 Boxing Road, BDA, Beijing", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "MATLAB, Simulink, CAN, LIN", "professionalSkills" : [ "Functional strategy calibration", "System requirements management", "Use case definition", "Interface definition", "Release criteria definition", "Validation planning", "Release planning", "Technical alignment", "Concept optimization", "Implementation maturity" ], "hardSkillsList" : [ "Thermal management calibration", "Actuator control", "Thermal target achievement", "Coolant circuit control", "Functional concept development", "Coolant circuit logic", "Thermal operating strategy", "Actuator coordination", "System interaction definition", "Thermal load cases", "Derating limits", "Cooling performance targets", "Vehicle electrical systems", "E/E architectures" ], "hardSkills" : [ { "name" : "Thermal management calibration", "level" : "intermediate" }, { "name" : "Actuator control", "level" : "intermediate" }, { "name" : "Thermal target achievement", "level" : "intermediate" }, { "name" : "Coolant circuit control", "level" : "intermediate" }, { "name" : "Functional concept development", "level" : "intermediate" }, { "name" : "Coolant circuit logic", "level" : "intermediate" }, { "name" : "Thermal operating strategy", "level" : "intermediate" }, { "name" : "Actuator coordination", "level" : "intermediate" }, { "name" : "System interaction definition", "level" : "intermediate" }, { "name" : "Thermal load cases", "level" : "intermediate" }, { "name" : "Derating limits", "level" : "intermediate" }, { "name" : "Cooling performance targets", "level" : "intermediate" }, { "name" : "Vehicle electrical systems", "level" : "intermediate" }, { "name" : "E/E architectures", "level" : "intermediate" } ], "majorSkills" : "Thermal management functions, Powertrain controller calibration, Functional concept development", "majorSkillsList" : [ "Thermal management functions", "Powertrain controller calibration", "Functional concept development" ], "coreResponsibilities" : "Calibrate thermal management functions, Optimize thermal management functions, Develop functional concepts, Own functional concepts, Define system requirements, Manage system requirements, Define use cases, Manage use cases, Define interfaces, Manage interfaces, Define release criteria, Manage release criteria, Plan validation activities, Execute validation activities, Evaluate validation activities, Plan release activities, Execute release activities, Evaluate release activities, Lead technical alignment, Resolve issues, Optimize concepts, Ensure implementation maturity", "teamCollaboration" : "Cross-domain stakeholders; Global multidisciplinary teams", "projectManagementSkills" : [ "Requirement definition", "Task follow-up" ], "domainKnowledge" : "Vehicle thermal management; Coolant circuits; Chiller-based battery cooling; PTC-based battery heating; Air path concepts; Heat exchangers; Fan/shutter systems; Thermal component protection; HV battery systems; eDrive systems; Charging systems; Thermal comfort systems; Automotive E/E architectures", "domainList" : [ "vehicle-thermal-management", "coolant-circuits", "chiller-based-battery-cooling", "ptc-based-battery-heating", "air-path-concepts", "heat-exchangers", "fan-shutter-systems", "thermal-component-protection", "hv-battery-systems", "edrive-systems", "charging-systems", "thermal-comfort-systems", "automotive-e-e-architectures" ], "domainSpecificKnowledge" : [ "Vehicle thermal management", "Coolant circuits", "Chiller-based battery cooling", "PTC-based battery heating", "Air path concepts", "Heat exchangers", "Fan/shutter systems", "Thermal component protection", "HV battery systems", "eDrive systems", "Charging systems", "Thermal comfort systems", "Automotive E/E architectures" ], "toolProficiency" : [ "ETAS INCA", "CANape" ], "communicationSkills" : "English communication", "documentationSkills" : "Requirements specifications; Function models; System interfaces; Load case matrices; Validation documents; Release documents; Functional specifications", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Issue resolution", "outcomesObjectives" : "Thermal target achievement", "qualificationsBasic" : "Bachelor’s or Master’s degree, Working experience in automotive or component development, Vehicle thermal management experience, Thermal operational strategy calibration experience, System validation experience, Thermal testing experience, Load case execution experience, Data analysis experience, Good understanding of coolant circuits, Good understanding of chiller-based battery cooling, Good understanding of PTC-based battery heating, Good understanding of air path concepts, Good understanding of heat exchangers, Good understanding of fan/shutter systems, Good understanding of thermal component protection principles, Experience using ETAS INCA, Experience using CANape, Experience using standard automotive measurement equipment, Familiarity with model-based development, Experience with requirements specifications, Experience with function models, Experience with system interfaces, Experience with load case matrices, Experience with validation/release documents, Good understanding of vehicle electrical systems, Good understanding of E/E architectures, Good understanding of communication protocols, Proficiency in interpreting system requirements, Proficiency in developing system requirements, Proficiency in interpreting use cases, Proficiency in developing use cases, Proficiency in interpreting functional specifications, Proficiency in developing functional specifications, Excellent English communication skills", "qualificationsPreferred" : "Cross-functional collaboration skills, Ability to structure complex technical topics, Proven ability to drive innovation, Well-structured working habits, Ability to actively follow up on tasks, Self-motivated, Continuous improvement mindset, Able to see the big picture, Prioritize tasks, Assess project risks and impacts, Willingness to share knowledge, Mentor others, Contribute to a learning-oriented team culture, Demonstrates a drive for excellence, Proactive attitude, High sense of responsibility, Ownership, Commitment to delivering quality results", "remoteFriendly" : false, "rawDescription" : "Objectives: Calibrate and optimize the thermal management functions on the central powertrain controller (CDCC / central driving and charging controller), including the thermal management operational strategy, actuator control, control parameters, and thermal target achievement for coolant circuits and air path systems. This will be the focus of the role Develop and own functional concepts for vehicle thermal management, including coolant circuit logic, thermal operating strategy, actuator coordination, and system interaction Define and manage system requirements, use cases, interfaces, and release criteria for thermal management functions, including interaction with HV battery, eDrive, charging system, thermal comfort, and supporting vehicle systems Plan, execute, and evaluate validation and release activities for calibrated thermal management functions based on thermal load cases, derating limits, cooling performance targets, and system test results Lead technical alignment with cross-domain stakeholders (e.g. battery, eDrive, charging, HVAC, software, validation, integration, and suppliers) for issue resolution, concept optimization, and implementation maturity Qualification: Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Automotive Engineering, or related field . Working experience in automotive or component development, preferably focused on: Vehicle thermal management / thermal systems / coolant circuits . Thermal operational strategy, actuator control, or functional strategy calibration . System validation, thermal testing, load case execution, and data analysis . Good understanding of coolant circuits, chiller-based battery cooling, PTC-based battery heating, air path concepts, heat exchangers, fan/shutter systems, and thermal component protection principles . Experience using calibration tools such as ETAS INCA, CANape, and standard automotive measurement equipment . Familiarity with model-based development, e.g., MATLAB/Simulink . Experience in working with requirements specifications, function models, system interfaces, load case matrices, and validation/release documents . Good understanding of vehicle electrical systems, E/E architectures, and communication protocols (CAN, LIN, etc.) . Proficiency in interpreting and developing system requirements, use cases, and functional specifications . Excellent English communication skills, both written and verbalPreferred Skills and Competencies: Strong cross-functional collaboration skills in global and multidisciplinary teams . Ability to structure complex technical topics and drive them from requirement definition to release Proven ability to drive innovation and contribute to technology roadmaps . Well-structured working habits and ability to actively follow up on tasks with minimal supervision . Self-motivated with a continuous improvement mindset in both technical and workflow efficiency . Able to see the big picture, prioritize tasks, and assess project risks and impacts . Willingness to share knowledge, mentor others, and contribute to a learning-oriented team culture . Demonstrates a strong drive for excellence and a proactive attitude toward achieving team success . High sense of responsibility, ownership, and commitment to delivering quality results . Mercedes-Benz Group China Ltd.", "summaryDescription" : "Drive Systems – Thermal Management Function Engineer at Mercedes-Benz Group China Ltd.. Skills: Thermal management functions, Powertrain controller calibration, Functional concept development. Calibrate thermal management functions. Optimize thermal management functions", "createdAt" : "2026-06-14T21:53:15.891", "lastUpdated" : "2026-06-15T22:19:58.053", "ingestTimestamp" : "2026-06-14T21:53:15.891", "mongoId" : "6a191e7758b93c861e39f786", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Thermal management calibration", "Actuator control", "Thermal target achievement", "Coolant circuit control", "Functional concept development", "Coolant circuit logic", "Thermal operating strategy", "Actuator coordination", "System interaction definition", "Thermal load cases", "Derating limits", "Cooling performance targets", "Vehicle electrical systems", "E/E architectures", "Thermal management functions", "Powertrain controller calibration", "Functional strategy calibration", "System requirements management", "Use case definition", "Interface definition", "Release criteria definition", "Validation planning", "Release planning", "Technical alignment", "Concept optimization", "Implementation maturity", "Requirement definition", "Task follow-up", "Vehicle thermal management", "Coolant circuits", "Chiller-based battery cooling", "PTC-based battery heating", "Air path concepts", "Heat exchangers", "Fan/shutter systems", "Thermal component protection", "HV battery systems", "eDrive systems", "Charging systems", "Thermal comfort systems", "Automotive E/E architectures", "ETAS INCA", "CANape" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d1ccb74d8ee00a0af3758", "title" : "CDL A- LOCAL- HOME DAILY- TRUCK DRIVING POSITION!", "company" : "10-4 Truck Recruiting", "industry" : "Logistics", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Truck Driving positions in the United States, adjusted for entry-level seniority and the logistics industry." }, "location" : "Dayton, OH", "locations" : [ "Dayton", "OH" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-15T09:39:38.815", "fingerprint" : "049216b6a3027e140cb47a6a0343bbf79e968f079469f9fcbcd57a758e70f82f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://10-4-truck-recruiting.breezy.hr/p/ed5f73e8b994-cdl-a-local--home-daily--truck-driving-position", "externalId" : "ed5f73e8b994", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dayton", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7589478,-84.1916069" } ], "locationText" : "Dayton, Ohio, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Drive truck locally, Return home daily", "specialRequirements" : "Home daily", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Looking for those ready to go!", "summaryDescription" : "CDL A- LOCAL- HOME DAILY- TRUCK DRIVING POSITION! at 10-4 Truck Recruiting. Drive truck locally. Return home daily", "createdAt" : "2026-06-14T06:51:59.578", "lastUpdated" : "2026-06-15T09:39:38.815", "ingestTimestamp" : "2026-06-14T06:51:59.578", "mongoId" : "6a2d1ccb74d8ee00a0af3758", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "CDL A" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69fb58b04c40e2acd1911b79", "title" : "Airport Duty Manager (ADM)", "company" : "Reno-Tahoe Airport Authority", "industry" : "Government", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an Airport Duty Manager in Reno, NV, adjusted for mid-seniority and government industry." }, "location" : "Reno, NV", "locations" : [ "Reno", "NV" ], "timestamp" : "2026-06-15T21:23:47.887", "fingerprint" : "1c9222dfe016506d51cadfb20d8dceec417c5631d7e18fadad702b64ca549074", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://renoairport.breezy.hr/p/b6bc3332434f-airport-duty-manager-adm", "externalId" : "b6bc3332434f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reno", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.5261788,-119.8126580" } ], "locationText" : "Reno, Nevada, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "majorSkills" : "Airport Operations, Aviation Operations, FOD Control", "majorSkillsList" : [ "Airport Operations", "Aviation Operations", "FOD Control" ], "domainKnowledge" : "FAA Part 139; TSA Part 1542", "domainList" : [ "faa-part-139", "tsa-part-1542" ], "domainSpecificKnowledge" : [ "FAA Part 139", "TSA Part 1542" ], "qualificationsBasic" : "Seasoned operations professional", "workSiteFlexibility" : "Onsite", "rawDescription" : "Airport Duty Manager Reno–Tahoe Airport Authority (RTAA) Reno, NV Airport Operations • Aviation Operations • FOD Control • FAA Part 139 • TSA Part 1542 ________________________________________ Job Summary The Reno-Tahoe Airport Authority is looking for a seasoned and experienced operations professi", "summaryDescription" : "Airport Duty Manager (ADM) at Reno-Tahoe Airport Authority. Skills: Airport Operations, Aviation Operations, FOD Control", "createdAt" : "2026-06-14T20:31:19.883", "lastUpdated" : "2026-06-15T21:23:47.887", "ingestTimestamp" : "2026-06-14T20:31:19.883", "mongoId" : "69fb58b04c40e2acd1911b79", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Airport Operations", "Aviation Operations", "FOD Control", "FAA Part 139", "TSA Part 1542" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68bb74d8ee00a09047b1", "title" : "Software Engineer, Autonomous Vehicles", "company" : "Helm.ai", "industry" : "AV", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineers in the US Technology industry, adjusted for company size and remote work." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-15T04:58:43.475", "fingerprint" : "54fb9d0a4601e46d0489fdc461b520cae4f14386fa27c6e17235daccc0916ce2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/helm-ai/0b3ebe5a-3cbb-419f-b5d3-4c986b344338/application", "externalId" : "0b3ebe5a-3cbb-419f-b5d3-4c986b344338", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, AI, ML, Neural networks, Unsupervised learning, High-performance computing, Real-time systems", "professionalSkills" : [ "Algorithm analysis", "System design", "Software engineering" ], "hardSkillsList" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning" ], "hardSkills" : [ { "name" : "Real-time software development", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" } ], "majorSkills" : "Backend systems, Software engineering, AI/ML", "majorSkillsList" : [ "Backend systems", "Software engineering", "AI/ML" ], "coreResponsibilities" : "Design vehicle software systems, Implement vehicle software systems, Test vehicle software systems, Collaborate with vendors, Partner with AI teams, Work with customers, Advance autonomous driving capabilities, Design real-time software, Develop real-time software, Deliver real-time software, Conduct algorithm analysis, Optimize algorithms, Iterate algorithms, Architect continuous learning system, Deploy ML models, Monitor ML model performance, Prioritize ML improvements, Collaborate with platform teams, Collaborate with embedded teams, Collaborate with AI teams, Ensure cohesive development, Ensure validation, Ensure integration, Stay abreast of industry trends, Stay abreast of emerging tools", "teamCollaboration" : "AI teams; Platform teams; Embedded teams", "domainKnowledge" : "Autonomous driving; Robotics; Deep Teaching methodology; Unsupervised learning; L2/L3 autonomy; Mass production; AV stack; High-performance computing; Real-time systems; AI-driven mobility; Software/hardware integration; Robotics middleware; ML model deployment; Safety-critical systems; Real-world testing protocols", "domainList" : [ "autonomous-driving", "robotics", "deep-teaching-methodology", "unsupervised-learning", "l2-l3-autonomy", "mass-production", "av-stack", "high-performance-computing", "real-time-systems", "ai-driven-mobility", "software-hardware-integration", "robotics-middleware", "ml-model-deployment", "safety-critical-systems", "real-world-testing-protocols" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "ML model deployment", "Safety-critical systems", "Real-world testing protocols" ], "toolProficiency" : [ "ROS2", "CARLA" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Stay abreast of industry trends; Stay abreast of emerging tools", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Safer roads; Economically viable AI deployment", "qualificationsBasic" : "Bachelor's or Master's degree, Lead projects, Mentor team members, Work autonomously, Backend programming foundation, C++ programming, Python programming, Design performant software systems, Develop performant software systems, Deploy performant software systems, Design real-time software systems, Develop real-time software systems, Deploy real-time software systems, Data structures command, Algorithms command, Software architecture command, Design patterns command", "qualificationsPreferred" : "Ph. D. preferred, Experience in autonomous vehicle development, Software/hardware integration expertise, ROS2 experience, Robotics middleware experience, ML model deployment experience, ML model monitoring experience, Data pipeline management experience, Model versioning experience, Simulation tools experience, CARLA experience, Real-world testing protocols experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We help make autonomous technologies more efficient, safer, and accessible. Helm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers https://helm.ai/post/helm-ai-and-honda-motor-co-agree-to-multi-year-adas-joint-development-for-mass-production-consumer-vehicles towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale. We are looking for versatile engineers to shape core components of the next generation of the Helm.ai http://Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai http://Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities. You will: - Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment. - Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack. - Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements. - Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning. - Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility. You have: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred. - Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments. - Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading. - Strong command of data structures, algorithms, software architecture, and design patterns. - Excellent problem-solving, communication, and collaboration skills, with a passion for innovation. The following are not required but a plus: - Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware. - Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems. - Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles. We offer: - Competitive health insurance options - 401K plan management - Remote-friendly and flexible team culture - Free lunch and fully-stocked kitchen in our South Bay office - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale - The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees.", "summaryDescription" : "Software Engineer, Autonomous Vehicles at Helm.ai. Skills: Backend systems, Software engineering, AI/ML. Design vehicle software systems. 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Operates equipment to diagnose problems and inspects equipment for defects. Responsible for small welding and fabricating tasks required on equipment coming through shop. Able to complete tasks with minimal direction. **STEP INTO THE ROLE** * Performs repairs on all types of equipment and work tools. * Operates equipment to diagnose problems and inspects equipment for defects. * Assists supervisors, co-workers with a variety of mechanic, and related tasks as necessary. * Highly aware of safety precautions, policies, and procedures and is able to assist management in maintaining a safe work environment. **WHAT YOU’LL NEED** * Mechanical and fabrication knowledge usually obtained through a 2 yr. post-secondary degree or equivalent combinations of training and/or related experience. * One to three years of knowledge of maintenance procedures and tooling obtained through previous work experience in mechanic and light welding. **WHAT SETS YOU APART** * Valid Commercial Driver’s License with acceptable driving record or willingness to obtain. * Ability to obtain Hazmat with tanker endorsement. **HOW WE INVEST IN YOU** * Competitive pay * 100% employer paid HDHP insurance premiums for employees * 401(k) with company match * HSA and FSA options * Dental and Vision insurance * Education Assistance (Tuition Reimbursement) * Work/Life balance * Employee/Family focused culture * Gym on site * And more! $26.41 - $36.32 Individual Compensation to be determined based on the applicant's applicable experience and qualifications balanced against internal equity. **WHO ARE WE?** With more than 115 years of construction experience, Blattner has played a vital role in building America’s critical infrastructure, ranging from railroads and highways to dams and mines. Since 1997, the company has focused on renewable energy solutions and is responsible for some of the most significant solar, wind and storage projects in the U.S. Today, Blattner has installed over 20% of America’s utility-scale wind, solar and energy storage capacity. Blattner Company is the parent company of Blattner Energy and D.H. Blattner & Sons, of which all are members of the Quanta Services family of companies. Company headquarters are in Avon, Minnesota. _Blattner is an Equal Employment Opportunity Employer committed to diversity and inclusion in the workplace. Blattner will not tolerate discrimination against any applicant for employment or employee on the basis of age (40 and over), ancestry, color, religious creed, gender, gender expression, gender identity, genetic information, marital status, medical condition, mental disability, military or veteran status, national origin, physical disability, race, receipt of public assistance, sex, sexual orientation, or any other status protected by federal, state, or local laws. This commitment governs all aspects of employment including, but not limited to: hiring, promotion, demotion, transfer, layoff, termination, compensation, discipline, and access to benefits and training. Additionally, Blattner is committed, in accordance with applicable law, to making reasonable accommodations for job applicants and employees based on a qualifying disability, a sincerely held religious belief or practice, and for pregnancy, childbirth or related health conditions. 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We've been serving Canadian clients for over 75 years. The companies that began independently and now form Dexterra Group have an outstanding record of supporting the infrastructure and built assets that play a vital role in our society and helping our clients achieve higher performance and productivity. Powered by passionate people, we bring the right teams with the right skills together – offering both experience and regional expertise so companies can operate their day to day, confidently and successfully. WHAT’S THE JOB? At Dexterra, we create exceptional customer experiences that make our clients shine. Powered by passionate people, we bring the right teams with the right skills together to turn problems into solutions and challenges into moments of ingenuity. This position works Is for weekend days, and on call for covering sick days or vacation. Must be comfortable working weekends and holidays. Must have criminal background check through Waterloo Region Police station before starting As a heavy-duty Custodial Associate , reporting to the Custodial Supervisor, you will be responsible for cleaning of all hard floor surfaces, carpet extraction and the cleaning of all surfaces that must be reached by ladder and the collection and removal of garbage from drop points to a garbage compactor. Your work will include: * Cleaning of offices, dustings, vacuuming and removal of garbage * Detail clean stairwells and elevator * Washes large floor surface using mop, walk behind * Wipes high level ledges and windowsills * Cleaning of the washroom multiple times day * Full cleaning of showers and locker rooms * Transports cleaning machinery, when necessary, between floors and work areas. * Removes & transports garbage from drop points to garbage compactor WHAT’S IN IT FOR YOU?. * Career advancement opportunities. * On site parking pass. * Whereas other companies are downsizing, we are growing! * Be #1 on day 1 by joining an industry leader. Follow Dexterra on [LinkedIn](https://www.linkedin.com/company/dexterraservices/?originalSubdomain=ca) and [Facebook](https://www.facebook.com/Dexterra-112814826925991/). ## Qualifications WHO ARE WE LOOKING FOR? * Must have 6 months or more experience in commercial building * Able to lifft between 25-30 lbs for garbage * Ability to obtain a clear criminal record through the Waterloo Regional Police station before hired. * Must have a willingness to work with other or on your own. ## Additional Information Dexterra Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Indigenous status, or any other legally protected factors. 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Must have criminal background check through Waterloo Region Police station before starting As a heavy-duty Custodial Associate , reporting to the Custodial Supervisor, you will be responsible for cleaning of all hard floor surfaces, carpet extraction and the cleaning of all surfaces that must be reached by ladder and the collection and removal of garbage from drop points to a garbage compactor. 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Follow Dexterra on [LinkedIn](https://www.linkedin.com/company/dexterraservices/?originalSubdomain=ca) and [Facebook](https://www.facebook.com/Dexterra-112814826925991/). ## Qualifications WHO ARE WE LOOKING FOR? * Must have 6 months or more experience in commercial building * Able to lifft between 25-30 lbs for garbage * Ability to obtain a clear criminal record through the Waterloo Regional Police station before hired. * Must have a willingness to work with other or on your own. ## Additional Information Dexterra Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Indigenous status, or any other legally protected factors. 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Remote Retrofitting Heavy Duty Trucks With Autonomous Driving Systems Jobs

Top Skills

Senior Project Manager (Autonomous Driving)

Project & Product Management of Autonomous Driving

Working Student Autonomous Driving Research

Section Lead, Autonomous Driving Toolchain & Platform

Section Lead, Autonomous Driving Toolchain & Platform

Heavy Duty Equipment Technician

Intern Uncertainty Estimation for End-to-End Autonomous Driving

Light Duty Truck Mechanic

Engineer Manager - Perception, Self-Driving Systems

Duty Manager

Heavy Duty Truck Sales Manager

Drive System Project and System Engineer

Local CDL A Truck Driving Position

Autonomous System Command Builder

Drive Systems – Function Engineer

Cleaner -Weekends (Heavy Duty)

Cleaner -Weekends (Heavy Duty)

Heavy Equipment Operator

Heavy Equipment Operator

Heavy Civil Estimator

Research Scientist/Engineer, Autonomous Security

Drive System Concept Engineer (Senior)

Duty Manager

Heavy Equipment Mechanic

CDL A- LOCAL- HOME DAILY- TRUCK DRIVING POSITION!

Drive System Concept Engineer

Machine Learning Engineer II - Autonomous Driving Performance Evaluation

Autonomous Command Pit Controller

Private Duty Nurse (LPN/RN)

Machine Learning Engineer II - Autonomous Driving & Inference Runtime

Heavy Equipment CDL Driver

Heavy Equipment CDL Driver

Heavy Equipment CDL Driver

Heavy Equipment CDL Driver

Heavy Equipment Technician, Journeyman

Mitarbeiter Technischer Kundenservice im Hause unseres Kunden VW-Trucks (m/w/d)

CDL A Semi-Local Driving Position

Private Duty Nurse (LPN/RN)

Heavy Equipment Shop Mechanic

Heavy Civil Project Manager

Drive Systems – Thermal Management Function Engineer

CDL A- LOCAL- HOME DAILY- TRUCK DRIVING POSITION!

Airport Duty Manager (ADM)

Software Engineer, Autonomous Vehicles

Heavy Equipment & Fleet Technician II

CDL A Home Daily/Weekly Truck Driving Position- Washington

Custodial Associate (Heavy Duty)

Custodial Associate (Heavy Duty)

Class A CDL Heavy Haul Truck Driver – Heavy Equipment Transport

Regional CDL A Truck Driving Job DOLLAR TREE

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