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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. A t HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. 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What You’ll Do Prepare parts for painting (plug holes, tape, mask surfaces) Hang parts using proper hooks and spacing for optimal coating Inspect finished parts for quality (runs, sags, missed areas) Remove parts from the line and stack safely to prevent damage Clean and maintain paint line equipment and tools Record wastewater discharge and pH readings as needed Safely operate equipment such as hoists, forklifts, or power buggies (as assigned) Handle machinery and materials with care and attention to detail Support the team with additional duties as assigned Maintain regular, reliable attendance What We’re Looking For No prior experience required — we’ll train you! High School diploma or GED preferred Ability to read, write, and follow basic instructions and safety guidelines Basic math skills (add, subtract, multiply, divide; understand ratios and measurements) Strong attention to detail and problem-solving skills Comfortable using hand tools and air-powered tools Ability to operate or learn to operate a hoist and material handling equipment Team player with good communication skills Physical Requirements Ability to stand and walk for up to 10 hours per shift Frequent use of hands for handling, gripping, and reaching Occasional bending, kneeling, or crouching Ability to lift and move up to 50 lbs regularly Comfortable working in a fast-paced, industrial environment Ability to work around noise, chemicals, and manufacturing equipment (hearing protection required) Work Environment Exposure to industrial materials such as paint, cleaners, fuels, and hydraulic fluids Loud environment with required safety equipment Repetitive lifting overhead Safety-focused culture with proper training and PPE provided Compensation and Benefits: Pay wage: $19/hour Shift: Day Shift (5am-3:30pm) 9 paid Holidays Generous Paid Time Off - Accrues at a rate of 4 weeks per year to start Paid Volunteer Time Off Paid Parental Leave Excellent Benefits Package for Full Time Employees that starts the 1st of the month after 30 days of hire date including: Medical, Dental, Vision, Life Insurance, Disability, Flex Spending, Accidental Insurance, Critical Illness Insurance, Hospital Indemnity Insurance & Legal Insurance Retirement Planning - 401(k) plan including Discretionary Company Match Tuition Reimbursement up to $5,250 a year Employee Referral Program Multiquip provides competitive pay and benefits and supports our employees through our values of safety, integrity and respect. 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Rabat, Morocco", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, Azure, Linux, Windows, GitHub Actions, Jenkins, Packer, Terraform, Ansible, AWS AMI, Azure Compute Gallery", "professionalSkills" : [ "System design", "Architecture design" ], "hardSkillsList" : [ "System security", "Image hardening", "Vulnerability scanning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "System security", "level" : "intermediate" }, { "name" : "Image hardening", "level" : "intermediate" }, { "name" : "Vulnerability scanning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Image Factory, Cloud architecture, DevOps, CI/CD", "majorSkillsList" : [ "Image Factory", "Cloud architecture", "DevOps", "CI/CD" ], "coreResponsibilities" : "Design Image Factory architecture, Implement Image Factory architecture, Automate image creation, Automate image validation, Automate image distribution, Define base image standards, Define hardened image standards, Define application ready image standards, Develop scalable image strategy, Design image governance model, Monitor image pipeline performance, Monitor image pipeline usage, Monitor image pipeline adoption, Design automation pipelines, Implement automation pipelines, Integrate Infrastructure as Code, Automate image tests, Automate image validations, Automate image security checks, Optimize image build processes, Publish images automatically, Integrate security controls, Ensure regulatory compliance, Implement vulnerability scanning tools, Ensure image security compliance, Define image governance mechanisms, Align Image Factory processes, Enable self-service image consumption, Ensure internal platform integration", "teamCollaboration" : "Platform Engineering teams; 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Le respect, la franchise et la passion animent chaque jour notre tribu. Ensemble, nous aidons nos clients à remporter la bataille du Digital : du conseil à la mise en œuvre de technologies innovantes, jusqu’à l’adoption des usages. Cloud, Cybersecurity, Data, DevOps, Fullstack Dev, Low Code, RPA n’ont plus aucun secret pour notre tribu ! Nos 10 000+ collaborateurs sont certifiés, formés et accompagnés au quotidien pour relever de nouveaux challenges innovants. Leader du Cloud, de la Cybersécurité et de la Data en EMEA, le Groupe Devoteam a réalisé en 2022 un chiffre d’affaires de 1,036 milliard d’euros et se donne pour ambition de le doubler dans les 5 années à venir. Devoteam Maroc, acteur de référence dans les expertises IT depuis plus de 30 ans (350+ consultants) accélère sa croissance en développant ses activités d’expertise en nearshore pour répondre aux besoins de nos clients français, européens et moyen orientaux. Es-tu prêt(e) à nous rejoindre et relever ensemble ce défi ? Nous recherchons un Architecte Image Factory expérimenté pour concevoir et piloter une plateforme d’usine à images (Image Factory) destinée à l’automatisation de la création, de la sécurisation, de la standardisation et de la publication d’images de systèmes d’exploitation pour des plateformes cloud d’entreprise. Ce rôle consiste à mettre en place une architecture d’Image Factory évolutive et sécurisée permettant la création d’images, leur durcissement de sécurité (hardening), leur gestion du cycle de vie et leur déploiement multi-cloud dans des environnements tels qu’AWS et Azure. L’architecte collaborera avec les équipes Platform Engineering, DevOps, Sécurité et Infrastructure afin de fournir des images de base standardisées et sécurisées qui accélèrent les déploiements applicatifs tout en respectant les exigences de sécurité et de conformité de l’entreprise. Architecture et stratégie de l’Image Factory * Concevoir et mettre en œuvre une architecture Image Factory automatisant la création, la validation et la distribution des images de référence (« Golden Images »). * Définir les standards d’entreprise pour : * les images de base, * les images durcies (hardened images), * les images prêtes pour les applications. * Développer une stratégie d’images évolutive à travers plusieurs plateformes cloud et outils tels que : * AWS AMI, * Azure Compute Gallery, * registres de conteneurs, * autres référentiels d’images. * Concevoir un modèle de gouvernance des images couvrant : * le versionnement, * la gestion du cycle de vie, * les pipelines de promotion des images. * Surveiller les performances, l’utilisation et l’adoption des pipelines d’images dans l’ensemble des plateformes cloud. Développement des pipelines d’automatisation et CI/CD * Concevoir et mettre en œuvre des pipelines automatisés utilisant GitHub Actions, Jenkins ou d’autres outils CI/CD. * Intégrer les pratiques Infrastructure as Code (IaC) avec : * Packer, Terraform, Ansible, ou des outils équivalents. * Automatiser les tests, validations et contrôles de sécurité des images pendant l’exécution des pipelines. * Optimiser les processus de construction des images en termes de performance, de coûts et de fiabilité. * Mettre en place la publication automatique des images vers les référentiels d’entreprise et les galeries cloud. Sécurité et conformité * Intégrer les contrôles de sécurité dans les processus de création d’images. * Garantir la conformité avec les standards CIS, les politiques de sécurité de l’entreprise et les autres exigences réglementaires. * Mettre en œuvre des outils de scan de vulnérabilités tels que : * Tenable, Qualys, ou des solutions similaires. * Veiller à ce que les images respectent les exigences de sécurité avant leur mise en production. * Définir les mécanismes de gouvernance permettant d’appliquer les standards d’images et les politiques de sécurité. Intégration Platform Engineering & DevOps * Aligner les processus Image Factory avec les stratégies Platform Engineering et DevOps de l’entreprise. * Permettre aux équipes de développement et d’applications de consommer les images standardisées via des mécanismes de self-service. * Assurer l’intégration avec les plateformes internes lorsque nécessaire. ## Qualifications * 7 ans ou plus d’expérience en infrastructure cloud, DevOps ou ingénierie système. * Diplôme universitaire en informatique (BAC+5) ou domaine connexe. * Expérience pratique dans la conception et la gestion de pipelines d’images d’entreprise ou de frameworks Golden Images. * Expérience dans des environnements cloud à grande échelle et multi-régions. * Anglais courant Compétences techniques * Expertise avancée sur : * Packer, Terraform, AWS, Azure. * Solides compétences en : * CI/CD, GitHub Actions, Jenkins. * Connaissances approfondies : * Linux, Windows, sécurité des systèmes. * Expérience avec les outils de gestion de vulnérabilités et de conformité. Soft Skills * Forte capacité d’architecture et de conception de systèmes. * Excellentes compétences en communication et collaboration avec les parties prenantes. * Capacité à encadrer des ingénieurs et à piloter des initiatives de plateforme. * Esprit analytique, autonomie et orientation résultats. ## Additional Information * https://www.linkedin.com/company/devoteam * https://twitter.com/devoteam * https://www.facebook.com/devoteam", "summaryDescription" : "Architecte Image Factory / AMI Factory (H/F) at Devoteam. Skills: Image Factory, Cloud architecture, DevOps, CI/CD. Design Image Factory architecture. 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Rabat, Morocco", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Packer, Terraform, AWS, Azure, CI/CD, GitHub Actions, Jenkins, Linux, Windows, Tenable, Qualys", "professionalSkills" : [ "System design", "Architecture design" ], "hardSkillsList" : [ "Image creation automation", "Image hardening", "Image lifecycle management", "Multi-cloud deployment", "Security controls integration", "Vulnerability scanning", "Infrastructure as Code", "Automated testing", "Security validation", "Security controls" ], "softSkillsList" : [ "Leadership", "Mentoring", "Analytical thinking" ], "hardSkills" : [ { "name" : "Image creation automation", "level" : "intermediate" }, { "name" : "Image hardening", "level" : "intermediate" }, { "name" : "Image lifecycle management", "level" : "intermediate" }, { "name" : "Multi-cloud deployment", "level" : "intermediate" }, { "name" : "Security controls integration", "level" : "intermediate" }, { "name" : "Vulnerability scanning", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Security validation", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Analytical thinking" } ], "majorSkills" : "Image Factory Architecture, CI/CD Pipelines, Cloud Security, DevOps Integration", "majorSkillsList" : [ "Image Factory Architecture", "CI/CD Pipelines", "Cloud Security", "DevOps Integration" ], "coreResponsibilities" : "Design Image Factory architecture, Implement Image Factory architecture, Automate image creation, Automate image validation, Automate image distribution, Define base image standards, Define hardened image standards, Define application-ready image standards, Develop scalable image strategy, Manage image versioning, Manage image lifecycle, Manage image promotion pipelines, Monitor image pipeline performance, Monitor image pipeline usage, Monitor image pipeline adoption, Design CI/CD pipelines, Implement CI/CD pipelines, Integrate Infrastructure as Code, Automate image tests, Automate image validations, Automate image security checks, Optimize image build performance, Optimize image build costs, Optimize image build reliability, Publish images automatically, Integrate security controls, Ensure CIS compliance, Ensure security policy compliance, Ensure regulatory compliance, Implement vulnerability scanning tools, Ensure image security before production, Define image governance mechanisms, Apply image standards, Apply security policies, Align Image Factory with DevOps, Align Image Factory with Platform Engineering, Enable self-service image consumption, Integrate with internal platforms", "teamCollaboration" : "Platform Engineering teams; DevOps teams; Security teams; Infrastructure teams; Development teams; Application teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Enterprise cloud platforms; Operating system images; Cloud-native architecture; Security standards; Compliance requirements; CIS standards", "domainList" : [ "enterprise-cloud-platforms", "operating-system-images", "cloud-native-architecture", "security-standards", "compliance-requirements", "cis-standards" ], "domainSpecificKnowledge" : [ "Enterprise cloud platforms", "Operating system images", "Cloud-native architecture", "Security standards", "Compliance requirements", "CIS standards" ], "toolProficiency" : [ "Packer", "Terraform", "Ansible", "GitHub Actions", "Jenkins", "Tenable", "Qualys" ], "communicationSkills" : "Stakeholder communication", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "7 years infrastructure cloud experience, 7 years DevOps experience, 7 years system engineering experience, Master's degree in Computer Science, Master's degree in related field, Experience designing image pipelines, Experience managing image pipelines, Experience with Golden Images frameworks, Experience in large-scale cloud environments, Experience in multi-region cloud environments, Fluent English", "qualificationsPreferred" : "Experience with AWS AMI, Experience with Azure Compute Gallery, Experience with container registries, Experience with other image repositories", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Chez Devoteam, nous sommes des « Digital Transformakers ». Le respect, la franchise et la passion animent chaque jour notre tribu. Ensemble, nous aidons nos clients à remporter la bataille du Digital : du conseil à la mise en œuvre de technologies innovantes, jusqu’à l’adoption des usages. Cloud, Cybersecurity, Data, DevOps, Fullstack Dev, Low Code, RPA n’ont plus aucun secret pour notre tribu ! Nos 10 000+ collaborateurs sont certifiés, formés et accompagnés au quotidien pour relever de nouveaux challenges innovants. Leader du Cloud, de la Cybersécurité et de la Data en EMEA, le Groupe Devoteam a réalisé en 2022 un chiffre d’affaires de 1,036 milliard d’euros et se donne pour ambition de le doubler dans les 5 années à venir. Devoteam Maroc, acteur de référence dans les expertises IT depuis plus de 30 ans (350+ consultants) accélère sa croissance en développant ses activités d’expertise en nearshore pour répondre aux besoins de nos clients français, européens et moyen orientaux. Es-tu prêt(e) à nous rejoindre et relever ensemble ce défi ? Nous recherchons un Architecte Image Factory expérimenté pour concevoir et piloter une plateforme d’usine à images (Image Factory) destinée à l’automatisation de la création, de la sécurisation, de la standardisation et de la publication d’images de systèmes d’exploitation pour des plateformes cloud d’entreprise. Ce rôle consiste à mettre en place une architecture d’Image Factory évolutive et sécurisée permettant la création d’images, leur durcissement de sécurité (hardening), leur gestion du cycle de vie et leur déploiement multi-cloud dans des environnements tels qu’AWS et Azure. L’architecte collaborera avec les équipes Platform Engineering, DevOps, Sécurité et Infrastructure afin de fournir des images de base standardisées et sécurisées qui accélèrent les déploiements applicatifs tout en respectant les exigences de sécurité et de conformité de l’entreprise. Architecture et stratégie de l’Image Factory * Concevoir et mettre en œuvre une architecture Image Factory automatisant la création, la validation et la distribution des images de référence (« Golden Images »). * Définir les standards d’entreprise pour : * les images de base, * les images durcies (hardened images), * les images prêtes pour les applications. * Développer une stratégie d’images évolutive à travers plusieurs plateformes cloud et outils tels que : * AWS AMI, * Azure Compute Gallery, * registres de conteneurs, * autres référentiels d’images. * Concevoir un modèle de gouvernance des images couvrant : * le versionnement, * la gestion du cycle de vie, * les pipelines de promotion des images. * Surveiller les performances, l’utilisation et l’adoption des pipelines d’images dans l’ensemble des plateformes cloud. Développement des pipelines d’automatisation et CI/CD * Concevoir et mettre en œuvre des pipelines automatisés utilisant GitHub Actions, Jenkins ou d’autres outils CI/CD. * Intégrer les pratiques Infrastructure as Code (IaC) avec : * Packer, Terraform, Ansible, ou des outils équivalents. * Automatiser les tests, validations et contrôles de sécurité des images pendant l’exécution des pipelines. * Optimiser les processus de construction des images en termes de performance, de coûts et de fiabilité. * Mettre en place la publication automatique des images vers les référentiels d’entreprise et les galeries cloud. Sécurité et conformité * Intégrer les contrôles de sécurité dans les processus de création d’images. * Garantir la conformité avec les standards CIS, les politiques de sécurité de l’entreprise et les autres exigences réglementaires. * Mettre en œuvre des outils de scan de vulnérabilités tels que : * Tenable, Qualys, ou des solutions similaires. * Veiller à ce que les images respectent les exigences de sécurité avant leur mise en production. * Définir les mécanismes de gouvernance permettant d’appliquer les standards d’images et les politiques de sécurité. Intégration Platform Engineering & DevOps * Aligner les processus Image Factory avec les stratégies Platform Engineering et DevOps de l’entreprise. * Permettre aux équipes de développement et d’applications de consommer les images standardisées via des mécanismes de self-service. * Assurer l’intégration avec les plateformes internes lorsque nécessaire. ## Qualifications * 7 ans ou plus d’expérience en infrastructure cloud, DevOps ou ingénierie système. * Diplôme universitaire en informatique (BAC+5) ou domaine connexe. * Expérience pratique dans la conception et la gestion de pipelines d’images d’entreprise ou de frameworks Golden Images. * Expérience dans des environnements cloud à grande échelle et multi-régions. * Anglais courant Compétences techniques * Expertise avancée sur : * Packer, Terraform, AWS, Azure. * Solides compétences en : * CI/CD, GitHub Actions, Jenkins. * Connaissances approfondies : * Linux, Windows, sécurité des systèmes. * Expérience avec les outils de gestion de vulnérabilités et de conformité. Soft Skills * Forte capacité d’architecture et de conception de systèmes. * Excellentes compétences en communication et collaboration avec les parties prenantes. * Capacité à encadrer des ingénieurs et à piloter des initiatives de plateforme. * Esprit analytique, autonomie et orientation résultats. ## Additional Information * https://www.linkedin.com/company/devoteam * https://twitter.com/devoteam * https://www.facebook.com/devoteam", "summaryDescription" : "Architecte Image Factory / AMI Factory (H/F) at Devoteam. Skills: Image Factory Architecture, CI/CD Pipelines, Cloud Security, DevOps Integration. Design Image Factory architecture. Implement Image Factory architecture", "postedDate" : "2026-06-15T16:08:03.000", "createdAt" : "2026-06-15T21:51:51.899", "lastUpdated" : "2026-06-16T06:57:54.968", "ingestTimestamp" : "2026-06-15T21:51:51.899", "mongoId" : "6a305303f292fd229cf10b55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Image creation automation", "Image hardening", "Image lifecycle management", "Multi-cloud deployment", "Security controls integration", "Vulnerability scanning", "Infrastructure as Code", "Automated testing", "Security validation", "Security controls", "Leadership", "Mentoring", "Analytical thinking", "Image Factory Architecture", "CI/CD Pipelines", "Cloud Security", "DevOps Integration", "System design", "Architecture design", "Agile", "Enterprise cloud platforms", "Operating system images", "Cloud-native architecture", "Security standards", "Compliance requirements", "CIS standards", "Packer", "Terraform", "Ansible", "GitHub Actions", "Jenkins", "Tenable", "Qualys" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f7ea", "title" : "Process Engineer - Paint Shop", "company" : "Mercedes-Benz Manufacturing Poland", "industry" : "Manufacturing", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Process Engineer in the Manufacturing industry in Jawor, Poland, adjusted for seniority and company size." }, "location" : "Poland-Lower Silesia-Jawor", "locations" : [ "Poland-Lower Silesia-Jawor", "Gottlieba Daimlera 5, , Jawor" ], "timestamp" : "2026-06-16T02:25:03.639", "fingerprint" : "a83523d0fa2f513731154671c508b45461bb0471bb19b62dd94b3c72707f9b5a", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882510", "externalId" : "882510", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jawor", "state" : "Lower Silesia", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.0677021,16.1976136" } ], "locationText" : "Jawor, Lower Silesia, Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Production planning", "Process technology", "Project management", "Analytical thinking", "Strategic thinking", "Problem-solving", "Interdisciplinary collaboration", "Entrepreneurial thinking" ], "majorSkills" : "Process engineering, Project management, Production planning", "majorSkillsList" : [ "Process engineering", "Project management", "Production planning" ], "coreResponsibilities" : "Plan paint shop processes, Manage sub-projects, Implement innovative production processes, Drive process harmonization, Standardize between VAN sites, Submit progress reports, Promote communication between departments, Execute new model planning, Influence product development, Prepare project assignments, Steer projects, Prepare acceptance inspection, Perform acceptance testing", "teamCollaboration" : "External stakeholders; Internal stakeholders; Different departments; Different locations; Vehicle development units; Series preparation units; Production units", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Paint shop processes; Hybrid vehicles; VAN vehicles; New model series; Production systems", "domainList" : [ "paint-shop-processes", "hybrid-vehicles", "van-vehicles", "new-model-series", "production-systems" ], "domainSpecificKnowledge" : [ "Paint shop processes", "Hybrid vehicles", "VAN vehicles", "New model series", "Production systems" ], "communicationSkills" : "Open communication", "documentationSkills" : "Project documentation", "innovationCreativity" : "Innovative production processes", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Achieve targets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mercedes-Benz Vans is a successful manufacturer of premium light commercial vehicles (LCV) for customers and markets worldwide. Our purpose is “to move transportation to the next level” and to define the LCV business of the future: focused on sustainability, connectivity and digital solutions. To achieve this goal, we are expanding our battery-electric LCV production capacity and implementing an entirely new plant next to our existing Mercedes-Benz production facility in Jawor. This is your chance to become part of an innovative and forward-thinking company. We are now looking for highly motivated employees, who would like to shape the future of mobility together with us. At Mercedes-Benz Vans, you will find a modern work environment, exciting projects, and the opportunity to grow within a global company. Join a dynamic team that achieves great things together! Scope of duties : - Work on planning and establishing the new production facility for the hybrid/VAN.EA vehicle project. Plan the paint shop processes and systems for the facility in Jawor as part of the project. - Take on a work package (production line or production process) and manage (sub-)projects with external and internal stakeholders. - Implement innovative production processes for the new model series. - Drive the process of harmonization/standardization between VAN sites. - Submit regular reports on progress made and targets achieved to project/team manager. - Promote open and effective communication between different departments and locations to ensure smooth project execution. - Execute and guide new model planning (influence product development). - Prepare project assignments, including steering of projects while adhering to financial and business objectives (costs, deadlines, quality). - Work with the vehicle development, series preparation and production units. - Independently prepare and perform acceptance inspection and testing of systems and procedures related to the production systems in accordance with applicable legal and corporate regulations - Degree from a university (of applied sciences) in mechanical engineering, production technology, industrial engineering, automation systems or similar education - Several years of professional experience specifically in production planning and paint shop systems planning or process technology - Practical experience in project management - Ability to think and act analytically and strategically, with a focus on achieving results and meeting targets - Ability to work as part of a team and engage in interdisciplinary collaboration in addition to excellent problem-solving skills - Ability to think and act like an entrepreneur as well as openness to change processes - Good IT skills, especially in Microsoft Office - Languages: fluent Polish, English and wherever applicable German Please submit your CV in English. Mercedes-Benz Manufacturing Poland sp. zo. o.", "summaryDescription" : "Process Engineer - Paint Shop at Mercedes-Benz Manufacturing Poland. Skills: Process engineering, Project management, Production planning. Plan paint shop processes. 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Engage with community members. 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Ability to assess and prioritize tasks and identify potential technical risks. Ability to work collaboratively and independently in a multidisciplinary field. Strong analytical and problem-solving skills. Requisition Preferences: M.S. or Ph.D. in Engineering. 10 or more years of related Materials and Processes work experience for spacecraft. Previous experience in material selection (metallics and nonmetallics) for electrical components, corrosion prevention, flammability prevention, oxygen compatibility, processes qualification, contamination control, development, test, and evaluation for NASA and/or aerospace projects. Previous experience in directing, guiding, and coordinating a technical team is highly desirable. Previous experience with human space flight system engineering and integration practices. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). 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TGH Crystal River (TGHCR)
6201 N Suncoast Boulevard

Crystal River, 34428

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TGH Brooksville (TGHBRKSV)
17240 Cortez Boulevard

Brooksville, 34601

" ], "certifications" : [ "Registered Nurse", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "National Institutes of Health Stroke Scale (NIHSS)", "STABLE" ], "timestamp" : "2026-06-16T01:55:21.163", "fingerprint" : "f7da1f90e862f3f6100854d4cf0412137cab00b63603a15728d45cc17c948067", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=679632", "externalId" : "679632", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooksville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5552719,-82.3878709" } ], "locationText" : "Brooksville, Florida, United States", "minimumEducation" : "Associate's", "professionalSkills" : [ "Quality improvement", "Nursing care" ], "hardSkillsList" : [ "Nursing documentation", "Patient assessment" ], "hardSkills" : [ { "name" : "Nursing documentation", "level" : "intermediate" }, { "name" : "Patient assessment", "level" : "intermediate" } ], "majorSkills" : "Nursing care, Patient assessment", "majorSkillsList" : [ "Nursing care", "Patient assessment" ], "coreResponsibilities" : "Deliver nursing care to patients, Plan nursing care, Implement nursing care, Document nursing care, Identify situations requiring further action, Report situations requiring further action, Formulate plan of care, Communicate plan of care, Assure patient rights, Perform job duties in accordance with mission, vision,, Perform job duties in accordance with quality improvement", "domainKnowledge" : "Surgical preparation", "domainList" : [ "surgical-preparation" ], "domainSpecificKnowledge" : [ "Surgical preparation" ], "communicationSkills" : "Communicate plan of care", "documentationSkills" : "Nursing documentation", "problemSolvingSkills" : "Identify situations requiring further action", "qualificationsBasic" : "Associate's Degree Nursing, License Issued by Florida or Compact State Registered Nurse, Basic Life Support (BLS) through American Heart Association or American Red Cross", "qualificationsPreferred" : "Unit specific certifications may be required, Advanced Cardiovascular Life Support (ACLS), Pediatric Advance Life Support (PALS), STABLE, National Institutes of Health Stroke Scale (NIHSS)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital and principles of quality improvement. Education Associate's Degree Nursing License Issued by Florida or Compact State Registered Nurse Certifications Basic Life Support (BLS) through American Heart Association or American Red Cross Work Experience Unit specific certifications may be required. May include but not limited to: Advanced Cardiovascular Life Support (ACLS) Pediatric Advance Life Support (PALS) STROKE National Institutes of Health Stroke Scale (NIHSS) STABLE Brooksville", "summaryDescription" : "Clinical Nurse- Surgical Preparation at Tampa General Hospital. Skills: Nursing care, Patient assessment. Deliver nursing care to patients. Plan nursing care", "createdAt" : "2026-06-14T19:10:25.999", "lastUpdated" : "2026-06-16T01:55:21.163", "ingestTimestamp" : "2026-06-14T19:10:25.999", "mongoId" : "6a16668458b93c861ea734a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Nursing documentation", "Patient assessment", "Nursing care", "Quality improvement", "Surgical preparation", "Registered Nurse", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "National Institutes of Health Stroke Scale (NIHSS)", "STABLE" ], "skillCount" : 11, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f75c", "title" : "Paint Tech - Rework", "company" : "Mercedes-Benz Vans LLC", "location" : "United States of America-South Carolina-Charleston", "locations" : [ "United States of America-South Carolina-Charleston", "8501 Palmetto Commerce Pkwy, , Charleston" ], "certifications" : [ "ASE B2" ], "timestamp" : "2026-06-15T09:44:42.781", "fingerprint" : "ad99175d5f094660b7ab499628f2a1161cf4d9899ea4105d42dab35e811cc2b6", "source" : "taleo", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=895621", "externalId" : "895621", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charleston", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Charleston, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "hardSkillsList" : [ "automotive refinish", "solvent-based systems", "color matching", "surface preparation", "defect correction", "paint handling", "OEM quality standards" ], "softSkillsList" : [ "problem-solving, work independently, work within a team" ], "hardSkills" : [ { "name" : "automotive refinish", "level" : "intermediate" }, { "name" : "solvent-based systems", "level" : "intermediate" }, { "name" : "color matching", "level" : "intermediate" }, { "name" : "surface preparation", "level" : "intermediate" }, { "name" : "defect correction", "level" : "intermediate" }, { "name" : "paint handling", "level" : "intermediate" }, { "name" : "OEM quality standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "problem-solving, work independently, work within a team" } ], "majorSkills" : "automotive paint rework, OEM finish standards", "majorSkillsList" : [ "automotive paint rework, OEM finish standards" ], "coreResponsibilities" : "Responsible for restoring vehicle surfaces to OEM finish standards using advanced automotive refinish techniques, this role supports final quality by identifying, repairing, and refinishing paint defects using both single-stage and basecoat/clearcoat solvent-based systems. The technician must be capable of working independently and within a team environment to ensure all vehicles meet Mercedes-Benz quality expectations prior to release.", "teamCollaboration" : "Work collaboratively with production, quality, and engineering teams to resolve concerns and support continuous improvement initiatives.", "toolProficiency" : [ "spray guns, air systems" ], "documentationSkills" : "standard work instructions", "continuousLearning" : "Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths.", "innovationCreativity" : "Think, try, and thrive with us in collaborative work environments that spark game-changing concepts.", "problemSolvingSkills" : "root cause analysis", "specialRequirements" : "Work performed in paint booths and industrial manufacturing settings.", "qualificationsBasic" : "High School Diploma or GED required. Experience with automotive spray applications (solvent-based systems) required. Ability to lift and handle up to 50 lbs. independently. Required to wear appropriate PPE, including respirators, during paint application. Ability to stand, bend, and work in a production environment for extended periods.", "qualificationsPreferred" : "5+ years of automotive paint/refinish experience preferred. Manufacturing or production paint environment experience preferred. Familiarity with OEM quality standards preferred. ASE B2 Certification or equivalent is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape the future today. The world is changing. The question is, what will be our contribution to the outcome? We have set the pace in the field of mobility from the very beginning, and we will continue to do so. At Mercedes-Benz Vans, interdisciplinary teams are developing the mobility of tomorrow. Our goal is to make mobility safer, simpler, and more sustainable for people across the globe. Put your pioneering spirit to good use: This is your opportunity to make a contribution that extends far beyond your job title. At Mercedes-Benz Vans, we offer you the perfect environment for your professional and personal growth. Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths. Think, try, and thrive with us in collaborative work environments that spark game-changing concepts. Job Overview: Responsible for restoring vehicle surfaces to OEM finish standards using advanced automotive refinish techniques. This role supports final quality by identifying, repairing, and refinishing paint defects using both single-stage and basecoat/clearcoat solvent-based systems. The technician must be capable of working independently and within a team environment to ensure all vehicles meet Mercedes-Benz quality expectations prior to release. Responsibilities: Perform automotive paint rework to restore vehicle surfaces to OEM finish standards Spray and blend automotive coatings including single-stage and basecoat/clearcoat solvent-based systems (Spot rework or large panel paint experience required with proper blend techniques) Identify, diagnose, and repair paint defects such as runs, sags, dirt, scratches, and coverage issues Prepare vehicle surfaces for refinishing including sanding, masking, cleaning, and conditioning Mix and prepare paint materials according to manufacturer specifications and process requirement Operate and maintain spray equipment, including spray guns, air systems, and related tools Ensure proper film build, color match, and overall finish quality Perform polishing, buffing, and final finishing operations as required Follow all safety procedures, including mandatory respirator use during all spray applications Maintain a clean and organized work area, including booth and equipment upkeep Troubleshoot process issues and implement corrective actions to prevent repeat defects Work collaboratively with production, quality, and engineering teams to resolve concerns Support continuous improvement initiatives and contribute to process optimization Accurately document rework activity and follow standard work instructions Perform other duties as assigned Qualifications •    High School Diploma or GED required •    5+ years of automotive paint/refinish experience preferred •    Experience with automotive spray applications (solvent-based systems) required •    Manufacturing or production paint environment experience preferred Knowledge & Skills •    Strong knowledge of automotive refinish processes and paint systems •    Experience with spray gun setup, adjustment, and maintenance •    Ability to perform color matching and blending techniques •    Understanding of surface preparation and defect correction methods •    Strong problem-solving skills with the ability to work independently and within a team •    Knowledge of safety standards related to paint and chemical handling •    Familiarity with OEM quality standards preferred •    ASE B2 Certification or equivalent is a plus •    Ability to lift and handle up to 50 lbs. independently •    Required to wear appropriate PPE, including respirators, during paint application •    Ability to stand, bend, and work in a production environment for extended periods •    Work performed in paint booths and industrial manufacturing settings . We are all in for change. Are you too? Apply now. If you have experience in the above and are interested in joining an outstanding company we welcome you to apply. The division Mercedes-Benz Vans is world renown for quality and innovative products. EXCELLENT COMPENSATION & BENEFITS PLAN WITH 401k MATCHING Mercedes Benz Vans LLC", "summaryDescription" : "Paint Tech - Rework at Mercedes-Benz Vans LLC. Skills: automotive paint rework, OEM finish standards. Responsible for restoring vehicle surfaces to OEM finish standards using advanced automotive refinish techniques, this role supports final quality by identifying, repairing, and refinishing paint defects using both single-stage and basecoat/clearcoat solvent-based systems. The technician must be capable of working independently and within a team environment to ensure all vehicles meet Mercedes-B", "createdAt" : "2026-06-14T17:52:53.153", "lastUpdated" : "2026-06-15T09:44:42.781", "ingestTimestamp" : "2026-06-14T17:52:53.153", "mongoId" : "6a191e7758b93c861e39f75c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "automotive refinish", "solvent-based systems", "color matching", "surface preparation", "defect correction", "paint handling", "OEM quality standards", "problem-solving, work independently, work within a team", "automotive paint rework, OEM finish standards", "ASE B2", "spray guns, air systems" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677967", "title" : "Process Engineer - Paint Shop", "company" : "Mercedes-Benz Manufacturing Poland", "industry" : "Manufacturing", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Process Engineer in the Manufacturing industry in Jawor, Poland, adjusted for seniority and company size." }, "location" : "Poland-Lower Silesia-Jawor", "locations" : [ "Poland-Lower Silesia-Jawor", "Gottlieba Daimlera 5, , Jawor" ], "timestamp" : "2026-06-15T07:48:51.856", "fingerprint" : "db2fdd60faf7bd02493c32c0c8c6e94a42ab31fcb0a9d4d490b7a52702f88a24", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882510", "externalId" : "882510", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jawor", "state" : "Lower Silesia", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.0677021,16.1976136" } ], "locationText" : "Jawor, Lower Silesia, Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Project management" ], "hardSkillsList" : [ "Paint shop processes", "Production line planning", "Production process planning", "New model planning", "System testing", "Procedure testing" ], "hardSkills" : [ { "name" : "Paint shop processes", "level" : "intermediate" }, { "name" : "Production line planning", "level" : "intermediate" }, { "name" : "Production process planning", "level" : "intermediate" }, { "name" : "New model planning", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "Procedure testing", "level" : "intermediate" } ], "majorSkills" : "Process engineering, Paint shop systems, Project management", "majorSkillsList" : [ "Process engineering", "Paint shop systems", "Project management" ], "coreResponsibilities" : "Plan new production facility, Establish new production facility, Plan paint shop processes, Plan paint shop systems, Manage work package, Manage sub-projects, Implement innovative production processes, Drive process harmonization, Drive process standardization, Submit regular reports, Promote communication, Ensure smooth project execution, Execute new model planning, Guide new model planning, Influence product development, Prepare project assignments, Steer projects, Adhere to financial objectives, Adhere to business objectives, Work with vehicle development, Work with series preparation, Work with production units, Prepare acceptance inspection, Perform acceptance inspection, Prepare system testing, Perform system testing", "teamCollaboration" : "External stakeholders; Internal stakeholders; Different departments; Different locations; Vehicle development; Series preparation; Production units", "projectManagementSkills" : [ "Project management", "Steering projects", "Financial objectives", "Business objectives", "Costs", "Deadlines", "Quality" ], "domainKnowledge" : "Paint shop systems; Production technology; Automation systems; Hybrid vehicles; VAN vehicles; Battery-electric vehicles", "domainList" : [ "paint-shop-systems", "production-technology", "automation-systems", "hybrid-vehicles", "van-vehicles", "battery-electric-vehicles" ], "domainSpecificKnowledge" : [ "Paint shop systems", "Production technology", "Automation systems", "Hybrid vehicles", "VAN vehicles", "Battery-electric vehicles" ], "toolProficiency" : [ "Microsoft Office" ], "innovationCreativity" : "Innovative production processes", "problemSolvingSkills" : "Problem-solving skills; Analytical thinking; Strategic thinking", "outcomesObjectives" : "Achieve targets", "qualificationsBasic" : "Several years of professional experience, Practical experience in project management, Fluent Polish, Fluent English", "qualificationsPreferred" : "German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mercedes-Benz Vans is a successful manufacturer of premium light commercial vehicles (LCV) for customers and markets worldwide. Our purpose is “to move transportation to the next level” and to define the LCV business of the future: focused on sustainability, connectivity and digital solutions. To achieve this goal, we are expanding our battery-electric LCV production capacity and implementing an entirely new plant next to our existing Mercedes-Benz production facility in Jawor. This is your chance to become part of an innovative and forward-thinking company. We are now looking for highly motivated employees, who would like to shape the future of mobility together with us. At Mercedes-Benz Vans, you will find a modern work environment, exciting projects, and the opportunity to grow within a global company. Join a dynamic team that achieves great things together! Scope of duties : - Work on planning and establishing the new production facility for the hybrid/VAN.EA vehicle project. Plan the paint shop processes and systems for the facility in Jawor as part of the project. - Take on a work package (production line or production process) and manage (sub-)projects with external and internal stakeholders. - Implement innovative production processes for the new model series. - Drive the process of harmonization/standardization between VAN sites. - Submit regular reports on progress made and targets achieved to project/team manager. - Promote open and effective communication between different departments and locations to ensure smooth project execution. - Execute and guide new model planning (influence product development). - Prepare project assignments, including steering of projects while adhering to financial and business objectives (costs, deadlines, quality). - Work with the vehicle development, series preparation and production units. - Independently prepare and perform acceptance inspection and testing of systems and procedures related to the production systems in accordance with applicable legal and corporate regulations - Degree from a university (of applied sciences) in mechanical engineering, production technology, industrial engineering, automation systems or similar education - Several years of professional experience specifically in production planning and paint shop systems planning or process technology - Practical experience in project management - Ability to think and act analytically and strategically, with a focus on achieving results and meeting targets - Ability to work as part of a team and engage in interdisciplinary collaboration in addition to excellent problem-solving skills - Ability to think and act like an entrepreneur as well as openness to change processes - Good IT skills, especially in Microsoft Office - Languages: fluent Polish, English and wherever applicable German Please submit your CV in English. Mercedes-Benz Manufacturing Poland sp. zo. o.", "summaryDescription" : "Process Engineer - Paint Shop at Mercedes-Benz Manufacturing Poland. Skills: Process engineering, Paint shop systems, Project management. Plan new production facility. Establish new production facility", "createdAt" : "2026-06-14T01:02:14.123", "lastUpdated" : "2026-06-15T07:48:51.856", "ingestTimestamp" : "2026-06-14T01:02:14.123", "mongoId" : "69ce5e3b9bc74574cb677967", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Paint shop processes", "Production line planning", "Production process planning", "New model planning", "System testing", "Procedure testing", "Process engineering", "Paint shop systems", "Project management", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Steering projects", "Financial objectives", "Business objectives", "Costs", "Deadlines", "Quality", "Production technology", "Automation systems", "Hybrid vehicles", "VAN vehicles", "Battery-electric vehicles", "Microsoft Office" ], "skillCount" : 27, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b18f292fd229cf594ac", "title" : "Quality Control Factory Inspector", "company" : "Suitsupply", "industry" : "Outdoor & Apparel", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "MUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior, Mid-level Quality Control Factory Inspector in Mauritius, adjusted for the Apparel & Fashion industry." }, "location" : "Mauritius", "locations" : [ "Mauritius", "Morocco", "Tábua", "Coimbra District", "Portugal" ], "timestamp" : "2026-06-16T09:31:06.455", "fingerprint" : "6f2678151da7db94e9b55151ac78fca71fbd6059bc9c30dac8b4f844e44c5168", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careersatsuitsupply.com/en-us/vacancies/8007575?gh_jid=8007575", "externalId" : "8007575", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mauritius", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Mauritius", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Quality control", "Process management", "Data collection", "Risk identification" ], "hardSkillsList" : [ "Garment construction", "Defect classification", "AQL sampling" ], "hardSkills" : [ { "name" : "Garment construction", "level" : "intermediate" }, { "name" : "Defect classification", "level" : "intermediate" }, { "name" : "AQL sampling", "level" : "intermediate" } ], "majorSkills" : "Garment inspection, Quality standards, Defect assessment", "majorSkillsList" : [ "Garment inspection", "Quality standards", "Defect assessment" ], "coreResponsibilities" : "Perform final random inspections, Evaluate garments against standards, Classify and document defects, Document defects with photographic evidence, Receive factory in-line QC reports, Review factory in-line QC reports, Communicate inspection results, Follow up on corrective actions, Submit regular inspection reports, Contribute to data collection, Log defects accurately, Build working relationships, Flag systemic quality issues, Flag production risks, Support factory capability development, Compare AQL results, Identify discrepancies, Review factory performance, Assist in improvement plans, Assist in bulk fabric inspections, Report fabric issues", "teamCollaboration" : "Factory production teams; Factory QC teams; Regional QC Manager", "domainKnowledge" : "Garment construction; Menswear tailoring; AQL standards", "domainList" : [ "garment-construction", "menswear-tailoring", "aql-standards" ], "domainSpecificKnowledge" : [ "Garment construction", "Menswear tailoring", "AQL standards" ], "communicationSkills" : "Reporting", "documentationSkills" : "Defect documentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "2+ years garment quality inspection, Solid knowledge of garment construction, Solid knowledge of common defect types, Solid knowledge of AQL inspection standards, Ability to read tech packs, Ability to interpret garment specifications, Good written English, Good spoken English, Local language proficiency", "qualificationsPreferred" : "Menswear experience, Tailoring experience, Shirts experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a QC Inspector, you are the eyes and hands of Suitsupply’s quality function on the factory floor. Permanently embedded at a production facility, you will perform final random inspections on all active production styles to ensure every garment meets Suitsupply’s exacting standards before it leaves the factory. This role is central to our Phase 1 model — one dedicated inspector per factory, building deep knowledge of that facility’s processes and quality performance over time. Working closely with factory inspectors and technicians, you will build trusted partnerships that drive continuous quality improvement. What you will do Perform final random inspections (FRI, Stage 5) on finished goods in accordance with AQL sampling plans and Suitsupply inspection criteria. Evaluate garments against approved PP samples, tech packs, and workmanship standards. Classify and document defects accurately (critical, major, minor) with photographic evidence. Receive and review factory in-line QC reports for visibility and early risk identification (Stage 4). Communicate inspection results to factory management and follow up on corrective actions. Submit regular inspection reports to the regional QC Manager. Contribute to Stage 7 data collection: accurate defect logging to feed factory scorecards. Build strong working relationships with factory production and QC teams. Flag systemic quality issues or production risks to the QC Manager promptly. Support Phase 2 factory capability development over time. Compare AQL results with the factory’s own AQL results and identify discrepancies. Review AQL and factory performance on a regular basis and assist in improvement plans (e. g. improving rework rates through more technical in-line assistance). Assist in bulk fabric inspections and report any issues such as colour shading. Who you are 2+ years of experience in garment quality inspection, ideally within menswear, tailoring, or shirts. Solid knowledge of garment construction, common defect types, and AQL inspection standards. Ability to read and interpret tech packs and garment specifications. Good written and spoken English for reporting to the regional QC Manager. Local language proficiency relevant to factory location. Self-motivated, reliable, and able to work independently with minimal supervision. Sharp and consistent eye for garment quality and workmanship. Objective and fair in defect assessment — independent from factory pressure. Clear and accurate in documentation and reporting. Builds effective working relationships with factory staff while maintaining independence. Disciplined, self-directed, and accountable. What you will get Autonomy: We empower you to take ownership, make meaningful decisions, and drive impact without layers of sign-off. Growth: We see your potential as a key asset. At Suitsupply, you’ll have abundant opportunities to learn, grow, and excel in a supportive environment that encourages development at every step. Incentivized Bonus: Earn a performance-based bonus tied directly to your productivity and results. Corporate Social Responsibility: Our commitment to sustainability and ethical business is unwavering. We work exclusively with suppliers who uphold the highest standards, in alignment with the International Labour Organization. Style: Immerse yourself in a world of beautifully crafted, high-quality products, and enjoy a 40% discount on Suitsupply products.", "summaryDescription" : "Quality Control Factory Inspector at Suitsupply. Skills: Garment inspection, Quality standards, Defect assessment. Perform final random inspections. Evaluate garments against standards", "postedDate" : "2026-06-15T23:24:26.957", "createdAt" : "2026-06-15T23:24:26.957", "lastUpdated" : "2026-06-16T09:31:06.455", "ingestTimestamp" : "2026-06-15T23:24:26.957", "mongoId" : "6a305b18f292fd229cf594ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Garment construction", "Defect classification", "AQL sampling", "Garment inspection", "Quality standards", "Defect assessment", "Quality control", "Process management", "Data collection", "Risk identification", "Menswear tailoring", "AQL standards" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Apparel & Fashion", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4374d8ee00a08e2965", "title" : "Vehicles Specialist", "company" : "Bolt Technology", "salary" : { "min" : 1699.0, "max" : 1699.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius, Lithuania", "locations" : [ "Vilnius", "Lithuania" ], "timestamp" : "2026-06-14T19:10:42.185", "fingerprint" : "18b714ff054b53f79a85b60dd9b31068da8846d50583a27a88f89e7a84187a02", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8581713002?gh_jid=8581713002", "externalId" : "8581713002", "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "softSkillsList" : [ "Attention to detail", "Quick thinking" ], "softSkills" : [ { "name" : "Attention to detail" }, { "name" : "Quick thinking" } ], "coreResponsibilities" : "Keep cars in top shape, Relocate vehicles, Refuel vehicles, Charge vehicles, Check for damages, Ensure cars have equipment, Perform vehicle inspections, Report new damages, Report other issues, Transport cars to maintenance, Transport cars to repairs, Clean vehicles", "specialRequirements" : "Evening shifts, Night shifts, Weekend shifts", "qualificationsBasic" : "Valid driver’s license, Fluent Lithuanian", "qualificationsPreferred" : "Geographical awareness", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Our Team as a Vehicles Specialist in Vilnius! Do you love cars and enjoy being on the move? We’re looking for a Vehicles Specialist to keep Bolt Drive’s fleet in top shape! If you enjoy driving brand-new cars, like working outdoors, don’t mind evening, night, and weekend shifts, and are a quick thinker in unexpected situations, this might be the perfect first job for you. Full-time position, salary 1,699 Euros brutto per month. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Vehicle Specialist, you’ll keep our Bolt Drive cars in top shape for customers. Your tasks include relocating vehicles, refueling, charging, checking for damages, and ensuring each car has the necessary equipment. Your role is essential in keeping the fleet available and running smoothly. Main tasks and responsibilities: Ensuring Bolt Drive’s cars are clean, fueled, and ready for customers! Performing vehicle inspections and reporting new damages and other issues you’ll find. Transporting cars to maintenance or repairs when needed. Making sure all vehicles have the necessary equipment. Relocating cars to the best locations for customers. Occasionally helping with cleaning vehicles. About you: You have a passion for cars and driving. You have a good sense of direction and the ability to navigate efficiently. It's a plus to have strong geographical awareness to plan routes wisely. You are responsible, have attention to detail, and think quickly to handle unexpected situations. You have a positive attitude — you don’t give up after facing challenges. You have a valid driver’s license and enthusiasm! You have fluent Lithuanian to communicate with the police and repair shops. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! Why you’ll love it here: Play a direct role in shaping the future of mobility. Work in fast-moving teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Take advantage of Bolt credits to ride our scooter and use our ride-hailing services for free. Enjoy various team events to get to know your colleagues. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Vehicles Specialist at Bolt Technology. Keep cars in top shape. Relocate vehicles", "postedDate" : "2026-06-12T22:06:06.924", "createdAt" : "2026-06-12T22:06:06.924", "lastUpdated" : "2026-06-14T19:10:42.185", "ingestTimestamp" : "2026-06-12T22:06:06.924", "mongoId" : "6a2c5e4374d8ee00a08e2965", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Attention to detail", "Quick thinking" ], "skillCount" : 2, "jobCategory" : "other", "jobSubcategory" : "bolt-drive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf26122beec4dd3d90b4cb", "title" : "Clinical Nurse - Surgical Preparation", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 70500.0, "max" : 94500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Nurse - Surgical Preparation in Brooksville, United States, adjusted for the healthcare industry and company size." }, "location" : "United States-Florida-Brooksville", "locations" : [ "United States-Florida-Brooksville", "
TGH Brooksville (TGHBRKSV)
17240 Cortez Boulevard

Brooksville, 34601

" ], "certifications" : [ "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "National Institutes of Health Stroke Scale (NIHSS)", "STABLE" ], "timestamp" : "2026-06-15T08:51:07.575", "fingerprint" : "b55dd0c1a5fb6eda669ede77088bbb9e6f0006346a2dbf953659849b52929e98", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676064", "externalId" : "676064", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooksville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5552719,-82.3878709" } ], "locationText" : "Brooksville, Florida, United States", "minimumEducation" : "Associate's Degree", "professionalSkills" : [ "Nursing care", "Quality improvement" ], "hardSkillsList" : [ "Patient care" ], "hardSkills" : [ { "name" : "Patient care", "level" : "intermediate" } ], "majorSkills" : "Surgical preparation", "majorSkillsList" : [ "Surgical preparation" ], "coreResponsibilities" : "Deliver nursing care, Plan nursing care, Implement nursing care, Document nursing care, Identify situations requiring further action, Report situations requiring further action, Formulate plan of care, Communicate plan of care, Assure patient rights", "domainKnowledge" : "Surgical preparation", "domainList" : [ "surgical-preparation" ], "domainSpecificKnowledge" : [ "Surgical preparation" ], "communicationSkills" : "Communicate plan", "documentationSkills" : "Nursing documentation", "outcomesObjectives" : "Perform job duties per mission", "qualificationsBasic" : "Associate's Degree Nursing, Registered Nurse License", "qualificationsPreferred" : "Unit specific certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital and principles of quality improvement. Education Associate's Degree Nursing License Issued by Florida or Compact State Registered Nurse Certifications Basic Life Support (BLS) through American Heart Association or American Red Cross Work Experience Unit specific certifications may be required. May include but not limited to: Advanced Cardiovascular Life Support (ACLS) Pediatric Advance Life Support (PALS) STROKE National Institutes of Health Stroke Scale (NIHSS) STABLE Brooksville", "summaryDescription" : "Clinical Nurse - Surgical Preparation at Tampa General Hospital. Skills: Surgical preparation. Deliver nursing care. Plan nursing care", "createdAt" : "2026-06-14T09:41:38.853", "lastUpdated" : "2026-06-15T08:51:07.575", "ingestTimestamp" : "2026-06-14T09:41:38.853", "mongoId" : "69cf26122beec4dd3d90b4cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70500, "salaryAnnualMax" : 94500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Patient care", "Surgical preparation", "Nursing care", "Quality improvement", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "National Institutes of Health Stroke Scale (NIHSS)", "STABLE" ], "skillCount" : 9, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5e4374d8ee00a08e2963", "title" : "Vehicles Specialist", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Vehicles Specialist in Warsaw, Poland, adjusted for the technology industry and company size." }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw", "Poland" ], "timestamp" : "2026-06-14T18:56:40.945", "fingerprint" : "fa83a5449e1c6c6885f35e7e8ff205f1cd98fcc2e7527370750ddceba9954b45", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8529353002?gh_jid=8529353002", "externalId" : "8529353002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "CONTRACT", "professionalSkills" : [ "Vehicle maintenance" ], "majorSkills" : "Fleet operations", "majorSkillsList" : [ "Fleet operations" ], "coreResponsibilities" : "Manage fleet daily operations, Clean vehicles, Relocate vehicles, Refuel cars, Diagnose damages, Deliver vehicles to services for repair, Deliver vehicles for maintenance, Perform fleet inspection", "domainKnowledge" : "Carsharing service", "domainList" : [ "carsharing-service" ], "domainSpecificKnowledge" : [ "Carsharing service" ], "problemSolvingSkills" : "Solving vehicle issues", "specialRequirements" : "Rotating shift schedule, Day shifts, Night shifts, Weekends", "qualificationsBasic" : "Type driver’s license issued in Poland, Fluent in Polish", "qualificationsPreferred" : "English is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are launching Bolt Drive, our new carsharing service in Warsaw, and are looking for a Vehicles Specialist to manage our fleet and daily operations. Please note that this is a full-time, fixed-term contract. The role requires working a rotating shift schedule, which includes day shifts, night shifts, and weekends. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Vehicles Specialist, you will be responsible for taking over all fleet daily operations (including cleaning, relocation, refueling the cars, and diagnosing damages). This is a very important job, as we are responsible for the safety of our fleet's users. Once checked, if the fleet needs additional diagnosing, you will need to deliver vehicles to services for repair or maintenance. Your daily adventures will include: A lot of driving in the city in brand new cars and no boring office work! Solving all kinds of issues related to vehicles. Delivering vehicles to services for repair or maintenance. Performing fleet inspection. Refueling, washing, or cleaning vehicles. About you: Passion and interest in cars. Discipline, attention to detail. Good understanding of vehicle maintenance. Type B driver’s license issued in Poland Fluent in Polish, English is a plus. You are available to work a rotating shift schedule, which includes day shifts, night shifts, and weekends. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Work in fast-moving teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Take advantage of Bolt credits to use our ride-hailing services. Enjoy various team events to get to know your colleagues. *Some perks may differ depending on your location. #LI-Hybrid", "summaryDescription" : "Vehicles Specialist at Bolt Technology. Skills: Fleet operations. Manage fleet daily operations. 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Hydraulic", "67219" ], "timestamp" : "2026-06-15T06:46:26.499", "fingerprint" : "5c92a6c1478ec16d2bca8bc70b17aada3e608311060cc8c2a2415b745a19d1ac", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=86292", "externalId" : "86292", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wichita", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6922361,-97.3375448" } ], "locationText" : "Wichita, Kansas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School Diploma or GED", "remoteFriendly" : false, "rawDescription" : "Job Title: Crewperson 4 - Paint Position Function: The Crewperson 4 is responsible for performing a wide variety of tasks within the painting unit, which may be required but not limited to applying various paints and varnishes with brushes, rollers, and sprayers. Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Additional Duties: Assist with additional duties as assigned by the Supervisor. Equipment: The employee must demonstrate the ability to use various equipment assigned to the job position as needed. This position may require the ability to use iPads in addition to basic office equipment such as computers, copiers, scanners, and fax machine. Must always comply with USD 259's guidelines for equipment use. Use hand tool of the trade and related power equipment. Other tools that may be used include but are not limited to: paint brushes, paint rollers, scrapers, airless paint sprayers, pressure washers, floor buffers/strippers, ladders and scaffolding. Travel: Travel between schools and central offices will be required. Physical and Mental Demands: Ability to perform all tasks and work the hours required Ability to work indoors in extreme heat or cold and outdoors in inclement weather conditions including heat, cold, rain, or snow Ability to wear proper safety equipment as required while performing the various responsibilities required for this position Attendance at required meetings and in-services Daily schedule may fluctuate to accommodate deadlines and delivery of services Ability to work overtime on short notice may be required Work in standard office, shop and school building environments Ability to work in confined or high spaces; some strenuous physical work Ability to work productively in stressful situations Be able to read and work from blueprints and drawings Possess some general construction knowledge Be able to build and work from scaffolding Will be responsible to a crew leader when assigned Limited (0-1 hour): Sitting, crawling, lying down (back, side, front), keyboarding/mouse, and low impact vibratory tools (drilling/sanding) Occasional (1-3 hours): Below the waist reaching, kneeling and crouching (squatting) Frequent (3-6 hours): Waist to shoulder reaching, overhead reaching, standing, walking, climbing/balancing (stairs, ladders, other), rotation of head/neck, flexion (head bend down and head bend back), bending at the waist, twisting at the waist, forceful gripping, fine finger manipulation and repetitive motion (multiple manipulation of same muscle group) Constant (6-8 hours): Total reaching and handling/grasping Exposure to: Dust, odors, fumes, mists and chemicals (paint (latex, enamel), lacquer, varnish, paint thinners, will bond, solvents, brush wash, polyurethane finish and skim (paint remover) 01-10lbs (sedentary): frequent (3-6 hours) pushing/pulling; constant (6-8 hours) lifting and carrying 11-20lbs (light): occasional (1-3 hours) lifting and carrying; frequent (3-6 hours) pushing/pulling 21-50lbs (medium): limited (0-1 hour) lifting and carrying; occasional (1-3 hours) pushing/pulling 51-100lbs (heavy): limited (0-1 hour) lifting and carrying, pushing/pulling 100+ lbs (very heavy): limited (0-1 hour) lifting and carrying, pushing/pulling Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Ability to communicate effectively with a Supervisor when their discretion is needed Ability to perform as an effective team player Ability to plan, organize, make decisions and prioritize work to meet the daily demands of the building Ability to carry out assignments and perform good quality work with minimum supervision. Basic computer proficiency and the ability to effectively use Microsoft Word and Outlook Exhibits a professional manner and a positive attitude Must be detailed oriented Uses good judgment to make decisions on recurring assignments Displays a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Knowledge of various types of materials and procedures used in the area is essential Have general knowledge of all different types of paint products Demonstrate outstanding qualities in efficiency, initiative and dependability when completing various tasks. Possess exceptional knowledge and demonstrate remarkable skills in the designated trade. Ability to carry out assignments and perform work of good quality with minimum supervision. Demonstrate outstanding qualities in efficiency, initiative, and dependability when completing various tasks. Interrelations: Contact with personnel within the district and with customers and vendors Will work under the direct supervision of the department supervisor in order to complete day to day tasks Will work with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Essential Performance Responsibilities: Maintain interior and exterior surfaces of all building for both decorative and protective purpose through the application of paint, sealers, stain, varnish and other protective finishes Interior painting including ceilings, different types of walls such as sandfinish, cinderblock, sheetrock, windows, doors, lockers, and various trims. Painting is done using a variety of paint, varnishes, and thinners. When painting interiors, the areas must be cleaned, dusted, and be put back in order for school the next day Exterior Painting including doors, glaze, and paint windows, porch overhangs, siding, etc. Finishing gym and multi-purpose room floors, marking game lines on various floors and hard-surfaced playground areas, marking parking lots and accomplishing various other painting tasks Gym Floors/Stage Floors including Screenbak, refinish, and reline as needed; Repaint (spray) old lines in gyms and exterior game pad, layout and paint new ones Parking lots including stripe existing lots and layout and stripe new ones Remove and cover graffiti from various services Paint other miscellaneous items such as flag poles, safety tread and safety lines, gates, and some play equipment Maintain appropriate licenses and certificates as well as the necessary understanding of utilized materials and applications Maintain records required for efficient unit functioning Perform work in a safe manner and reports any hazardous conditions Assist in maintaining good public relations, being cognizant that a Crewperson 4 represents both the Facilities Division and the Wichita Public Schools Cooperate with other employees and maintain good public relations inside and outside of his/her assignment Display willingness to be trained in all phases of the assignment and to increase his/her skills, thus, qualifying for advancement Possess a work ethic that is strongly oriented toward both efficiency and customer service Possess superior knowledge of procedures, materials and equipment utilized in the designated area while displaying good workmanship, planning, and leadership Support the organizational goals, the mission of the School Service Center and the district Work cooperatively with others and assist in maintaining open lines of communication Work directly or indirectly under the Supervisor This position requires mandatory snow removal. Perform a wide variety of tasks within the Paint unit which may be required but not limited to application of various paints and varnishes with brushes, rollers and sprayers. Required to remove or cover graffiti from various surfaces. Need to have high integrity and be trust worthy. Directly responsible to the Supervisor(s) of BGMS. Have general knowledge of different types of paint products Qualification Profile: A High School Diploma or GED is preferred Maintain a valid Kansas driver's license at all times throughout employment Minimum of 3 Years of experience preferred Required to work second or third shift. FLSA Status: Non-Exempt", "summaryDescription" : "Crewperson 4, Paint at USD 259", "createdAt" : "2026-06-14T07:10:36.811", "lastUpdated" : "2026-06-15T06:46:26.499", "ingestTimestamp" : "2026-06-14T07:10:36.811", "mongoId" : "6949b14570f0b99d5882715a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 46500, "salaryAnnualMax" : 63500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3b974d8ee00a09ad4f8", "title" : "Auto Body Paint Prepper", "company" : "Carvana", "salary" : { "min" : 20.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Akron, New York, United States", "locations" : [ "Akron", "New York", "United States" ], "timestamp" : "2026-06-16T02:15:30.758", "fingerprint" : "57b17594db8f3a120bbf3ebc5d6c19cd00cc4c15fbdd5364868fd825dec2306b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.carvana.com/careers/apply?gh_jid=8003333", "externalId" : "8003333", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Akron", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0208924,-78.4953015" } ], "locationText" : "Akron, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Prepare surfaces for painting, Mask and protect areas not to be painted, Clean and sand surfaces, Apply primer and paint, Mix paint colors, Maintain a clean and organized work area, Follow safety procedures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Pay Range: $20-$24 hourly *Plus $500 Bonus! We’re looking for Auto Painters with a minimum of 1 year of professional automotive painting experience to join us at Carvana - the fastest-growing used automotive retailer in U. S. history and one of the four fastest companies to make the Fortune 500. As a Painter, you’ll be expected to prime vehicles and perform final sanding before the vehicle is painted, along with buffing, touch-up, paint mixing, and airbrush. At Carvana, you’ll receive a competitive wage and amazing perks – including a 401(k) with Carvana match and even a vehicle purchase discount – all while using state of the art tools in one of our high-tech Inspection Centers (click here to learn more). If you’re joining us in an entry-level position, we offer training programs to make sure your skills and pay progress along with the company. Other perks of the Job 100% company-paid healthcare premiums Generous paid-time off and your birthday is a holiday! ASE and tool reimbursement programs Tuition reimbursement and student loan repayment Schedule: We do everything we can to deliver an exceptional customer experience, and that includes delivering great vehicles when expected. If we're in a pinch, mandatory overtime is one way in which we can follow-through on this commitment to our customers. We're looking for team players who are all in on our mission and are able to work mandatory overtime based on our business needs. How To Get Started Join the Carvana team by applying on this page, or call one of our recruiters by phone at (888) 690-7853, Monday through Friday, between 6 AM and 4 PM PT (9AM to 7PM ET). Not a match for this role? We have a variety of paint roles available, depending on your experience - look below to see other roles available to help us get our low-mileage, late-model cars ready for our customers: Paint Prepper (min 6 months professional experience): prepare vehicles for cosmetic paintwork, including sanding, masking, taping, bagging, unbagging/tear down, and buffing Entry-Level Painter (min 1 year professional experience): prime vehicles and perform final sanding before the vehicle is painted, along with buffing, touch-up, paint mixing, and airbrush. Mid-Level Painter (min 3 years professional experience): match/mix paint color and use water-based paint to paint the vehicle inside our paint booths Experienced Painter (min 5 years professional experience): painting (base coats, tri-coats, solid, metallic, and clear coats), blending adjacent panels, and paint correcting vehicles. We also have a variety of other automotive roles available in one of our 18 locations across the country – take a look at our Careers site to apply for one of the following roles: Auto Body roles: Paint, Prep/Body work, Wheel Repair, Airbrush, Interior Repair, Glass Repair, and PDR (Paintless Dent Repair) roles Auto Technician/Mechanic roles: Lube and Oil, Inspection, Brake and Tire, Mechanical Repair / Build, and Master Technician roles Entry-Level roles: Detailing, Inventory Associate (Car Porters), Photo, Parts Associate, Inspection, and Coordinator/Administrator roles General qualifications and requirements Ability to physically operate vehicle equipment and tools - must be able to lift up to 60 pounds independently Must be at least 18 years of age and possess a valid driver’s license. Some positions may be subject to an Motor Vehicle Records (MVR) check An ability to work in a fast-paced, ever-changing production environment while sometimes being exposed to excessive weather conditions (heat/cold) Use of safety equipment that may include but not limited to face shield or goggles, non-slip shoes, gloves, mask, and other protective garments and equipment About Carvana At Carvana, we sell cars but we aren’t car salesmen. Our promise is simple: we won’t sell a car to a customer that we wouldn’t sell to our own Mom. Period. To make sure our cars are in first-rate condition, we’ve built multiple vehicle Reconditioning Centers around the country, where our cars are inspected, perfected, and photographed before reaching the Carvana website. Think you’ve got what it takes to join our team? Apply today! Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Hiring is contingent on passing a complete background check. This role is not eligible for visa sponsorship. Must be at least 18 years of age and possess a valid driver’s license. Must be able to read, write, speak and understand English.", "summaryDescription" : "Auto Body Paint Prepper at Carvana. Prepare surfaces for painting. Mask and protect areas not to be painted", "postedDate" : "2026-06-14T20:16:30.225", "createdAt" : "2026-06-14T20:16:30.225", "lastUpdated" : "2026-06-16T02:15:30.758", "ingestTimestamp" : "2026-06-14T20:16:30.225", "mongoId" : "6a2ca3b974d8ee00a09ad4f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4374d8ee00a08e2961", "title" : "Vehicles Specialist", "company" : "Bolt Technology", "salary" : { "min" : 780000.0, "max" : 1170000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Vehicles Specialist in Prague, Czech Republic, adjusted for the technology industry and company size." }, "location" : "Prague, Czech Republic", "locations" : [ "Prague", "Czech Republic" ], "timestamp" : "2026-06-14T22:54:39.643", "fingerprint" : "9d54e39fee5c917fdb1847e8c4ab6346b8ed58228d0b59a478ed89e074131365", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8204448002?gh_jid=8204448002", "externalId" : "8204448002", "structuredLocations" : [ { "city" : "Prague", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0874654,14.4212535" } ], "locationText" : "Prague, Czech Republic", "hardSkillsList" : [ "Vehicle maintenance", "Vehicle repair" ], "softSkillsList" : [ "Discipline", "Attention to detail" ], "hardSkills" : [ { "name" : "Vehicle maintenance", "level" : "intermediate" }, { "name" : "Vehicle repair", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Discipline" }, { "name" : "Attention to detail" } ], "majorSkills" : "Fleet operations, Vehicle management", "majorSkillsList" : [ "Fleet operations", "Vehicle management" ], "coreResponsibilities" : "Manage fleet daily operations, Relocate vehicles, Refuel vehicles, Diagnose damages, Solve vehicle issues, Deliver vehicles for repair, Perform fleet inspection, Refuel vehicles, Wash vehicles, Clean vehicles", "domainKnowledge" : "Bolt Drive's fleet", "domainList" : [ "bolt-drive-s-fleet" ], "domainSpecificKnowledge" : [ "Bolt Drive's fleet" ], "problemSolvingSkills" : "Solving vehicle issues", "specialRequirements" : "Driving in the city", "qualificationsBasic" : "Fluent in Czech, Fluent in English", "qualificationsPreferred" : "Prior work experience in dynamic environment, Good understanding of vehicle maintenance, Good understanding of vehicle repair processes, Passion and interest in cars", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Vehicles Specialist in Prague to manage Bolt Drive's fleet and daily operations. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Vehicles Specialist, you will be responsible for taking over all fleet daily operations (including cleaning, relocation, refueling the cars, and diagnosing damages). This is a very important job, as we are responsible for the safety of our fleet's users. Main tasks and responsibilities: A lot of driving in the city in brand new cars and no boring office work! Solving all kinds of issues related to vehicles. Delivering vehicles to services for repair or maintenance. Performing fleet inspection. Refueling, washing, or cleaning vehicles. About you: You have passion and interest in cars. You have prior work experience in a dynamic environment. You have a good understanding of vehicle maintenance and repair processes. You have discipline, and attention to detail. You are fluent in Czech and English. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! Why you’ll love it here: Play a direct role in shaping the future of mobility. Work in fast-moving teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Take advantage of Bolt credits to ride our scooter and use our ride-hailing services for free. Enjoy various team events to get to know your colleagues. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Vehicles Specialist at Bolt Technology. Skills: Fleet operations, Vehicle management. Manage fleet daily operations. Relocate vehicles", "postedDate" : "2026-06-12T21:57:24.594", "createdAt" : "2026-06-12T21:57:24.594", "lastUpdated" : "2026-06-14T22:54:39.643", "ingestTimestamp" : "2026-06-12T21:57:24.594", "mongoId" : "6a2c5e4374d8ee00a08e2961", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Vehicle maintenance", "Vehicle repair", "Discipline", "Attention to detail", "Fleet operations", "Vehicle management", "Bolt Drive's fleet" ], "skillCount" : 7, "jobCategory" : "other", "jobSubcategory" : "bolt-drive", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308577f292fd229c079388", "title" : "Sales Completion Specialist", "company" : "Motorway", "industry" : "Seller Services", "salary" : { "min" : 26000.0, "max" : 36500.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Brighton", "locations" : [ "Brighton" ], "timestamp" : "2026-06-16T11:45:13.422", "fingerprint" : "73ca86df5eb8b1e4f3461160bbe051d09ebe8fa8820b8e0efb54a83cdcff1958", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/motorway/b6b43f45-9056-45f5-91b1-499ee6072903/application", "externalId" : "b6b43f45-9056-45f5-91b1-499ee6072903", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brighton", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.8214626,-0.1400561" } ], "locationText" : "Brighton, United Kingdom", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Negotiation" ], "majorSkills" : "Sales completion, Customer guidance, Deal negotiation", "majorSkillsList" : [ "Sales completion", "Customer guidance", "Deal negotiation" ], "coreResponsibilities" : "Be trusted expert for car sellers, Deliver seamless post-auction experience, Take lead on negotiations, Ensure fair deal for everyone, Work with team to hit targets, Boost conversions, Keep quality standards high, Sustain productivity, Collaborate with Account Management teams, Ensure sellers and dealers aligned, Help shape future, Test new features, Give honest feedback", "teamCollaboration" : "Account Management teams", "domainKnowledge" : "Used car marketplace", "domainList" : [ "used-car-marketplace" ], "domainSpecificKnowledge" : [ "Used car marketplace" ], "continuousLearning" : "Opportunities to grow skills; Take on new challenges", "outcomesObjectives" : "Hit targets; Boost conversions", "qualificationsBasic" : "Proven track record hitting targets, Confidence in negotiation skills, Ability to work to high standard, Thrive in collaborative team setting, Experience in customer-facing role, Worked with targets and KPIs", "qualificationsPreferred" : "Passion for helping people, Talent for building rapport", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT MOTORWAY Motorway is the UK’s fastest-growing used car marketplace - our online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our award-winning, technology-led approach has redefined the experience of selling a car. Motorway is backed by some of the world’s leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. Why you should join us We're after someone to join our Sales Completion team - the beating heart of our business. Our platform is changing the game for car sellers and dealers, making it easier and fairer for everyone. But a bit of tech can only go so far; that's where you come in. You'll be the expert guide for our customers, helping them get the best price for their car. It's a bit like being a brilliant matchmaker, but instead of people, it's cars and cash. You’ll be right in the middle of it all, negotiating, problem-solving, and celebrating with customers. We're a team that loves to learn, so you'll have loads of opportunities to grow your skills, take on new challenges, and really make your mark. What you'll do - Be the trusted expert for car sellers, delivering a seamless, can-do post-auction experience. - Take the lead on negotiations between sellers and dealers through amazing interactions, making sure everyone gets a fair deal. - Work with your team to hit targets, boost conversions, and keep quality standards sky-high through sustained productivity. - Collaborate with our Account Management teams to make sure sellers and dealers are perfectly aligned. - Help us shape the future by testing new features and giving us your honest feedback. Experience you'll need to be successful - A genuine passion for helping people and a talent for building solid rapport. - A proven track record of hitting targets in a fast-paced environment. - Confidence in your negotiation skills, whether you're on the phone or typing away on email. - The ability to work to a high standard and thrive in a collaborative team setting. - Experience in a customer-facing role where you’ve worked with targets and KPIs. SHIFT PATTERN - Monday to Friday, 8:45am to 5:30pm What you'll get - £26,000 starting salary plus commission (£36,500 OTE) - Sea fronted office location with regular social events, office drinks, weekly massages and free snacks to keep you going - Flexibility to work from home 1 day per week - Stock options so you can share in Motorway’s growth and future success - Pension scheme to plan for your future with our provider NEST - Strong commitment to your personal development - Opt-in comprehensive health insurance through BUPA including fitness discounts - Cycle to work scheme - save big ££ on a new bike and accessories - Generous parental benefits including 6 months full paid maternity leave, 4 weeks paternity leave - ... and much more!", "summaryDescription" : "Sales Completion Specialist at Motorway. Skills: Sales completion, Customer guidance, Deal negotiation. Be trusted expert for car sellers. Deliver seamless post-auction experience", "createdAt" : "2026-06-16T01:59:44.501", "lastUpdated" : "2026-06-16T11:45:13.422", "ingestTimestamp" : "2026-06-16T01:59:44.501", "mongoId" : "6a308577f292fd229c079388", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Sales completion", "Customer guidance", "Deal negotiation", "Negotiation", "Used car marketplace" ], "skillCount" : 5, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb01a74d8ee00a09d8d67", "title" : "Factory Design Manager", "company" : "Form Energy", "industry" : "Manufacturing Development", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Manufacturing in Weirton, United States, adjusted for company size and industry." }, "location" : "Weirton, WV", "locations" : [ "Weirton, WV" ], "timestamp" : "2026-06-15T13:48:19.505", "fingerprint" : "a5397bee562517fb41c5a2601c7be8f75edcd553e1727141bc6f8a3f9c713500", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/FORMENERGY/8a6bbb28-0a80-44f8-9261-158e331e041a/application", "externalId" : "8a6bbb28-0a80-44f8-9261-158e331e041a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Weirton", "state" : "West Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4002396,-80.5899788" } ], "locationText" : "Weirton, West Virginia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Factory design, Manufacturing, Material flow, Construction", "professionalSkills" : [ "Project management fundamentals", "Engineering problem solving" ], "hardSkillsList" : [ "Factory design", "Manufacturing", "Material flow", "Construction", "Project management" ], "softSkillsList" : [ "Leadership", "Decision-making" ], "hardSkills" : [ { "name" : "Factory design", "level" : "intermediate" }, { "name" : "Manufacturing", "level" : "intermediate" }, { "name" : "Material flow", "level" : "intermediate" }, { "name" : "Construction", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Decision-making" } ], "majorSkills" : "Factory design, Manufacturing, Project management", "majorSkillsList" : [ "Factory design", "Manufacturing", "Project management" ], "coreResponsibilities" : "Lead factory design, Lead design execution, Connect engineering, manufacturing, construction, operations, Manage change request process, Vet project requirements, Organize project documentation, Facilitate team communication, Create design schedule, Manage design schedule, Track project status, Track open items, Unblock project issues, Hold team accountable, Organize design review meetings, Set design review agenda, Take design review notes, Assign design review action items, Verify task completion, Manage design consultant contract, Write RFPs, Hold touch base meetings, Approve invoices, Track consultant performance, File design drawings, File design specs, File design reports, Collaborate with procurement, Collaborate with project manager", "teamCollaboration" : "Cross-functional teams; Senior leadership; Design consultants; Procurement; Project manager", "projectManagementSkills" : [ "Project management fundamentals", "Program management fundamentals" ], "domainKnowledge" : "Battery manufacturing; Energy storage; Iron-air batteries; High-volume manufacturing", "domainList" : [ "battery-manufacturing", "energy-storage", "iron-air-batteries", "high-volume-manufacturing" ], "domainSpecificKnowledge" : [ "Battery manufacturing", "Energy storage", "Iron-air batteries", "High-volume manufacturing" ], "toolProficiency" : [ "Procore" ], "communicationSkills" : "Documentation skills; Clear plan communication", "documentationSkills" : "Documentation skills; Technical documentation", "innovationCreativity" : "First-principles thinking", "problemSolvingSkills" : "Complex problem solving", "qualificationsBasic" : "5+ years engineering experience, 5+ years manufacturing experience, 5+ years industrial projects experience, Expertise in factory design, Expertise in manufacturing, Expertise in material flow, Expertise in construction, Advanced project management skills, Experience managing conflicting objectives, Experience managing compressed timelines", "qualificationsPreferred" : "Relocation assistance available", "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION We are seeking an exceptional Design Manager to lead the design and execution of our first-of-its-kind battery factory. Working closely with senior leadership, you will connect the dots between engineering, manufacturing, construction, and operations to keep our highest-priority timelines on track. This is a true blank-slate opportunity. By applying first-principles thinking, you will help us treat Form Factory as a fully integrated product, ultimately enabling the most advanced high-volume battery manufacturing facility in the world. Relocation assistance is available. WHAT YOU'LL DO: - Be the bridge between factory engineering / production and the facility design team. - Manage the change request process from the inputs phase through design acceptance. - Vet and organize all of the project requirements and documentation. - Facilitate communication between all team members. - Create and manage the design schedule for each project. - Track the status and open items for each project. Unblock issues slowing down the project to stay on schedule. - Hold all team members accountable for completing their required tasks. - Organize design review meetings: set the agenda, take notes, assign action items, and verify completion of the tasks. - Manage the contract for design consultants: write RFPs for design service, hold touch base meetings, approve invoices, track performance, ect. - File design related drawings, specs, reports, and similar information in Procore. - Collaborate with procurement and the project manager for execution to determine the most WHAT YOU'LL BRING: - 5+ years of engineering experience on manufacturing and industrial projects from concept to delivery. - Expertise in factory design, manufacturing, material flow and construction. - Advanced project management skills and demonstrated application of project and program management fundamentals to complex engineering problems. - Excellent communication and documentation skills with the ability to understand complex problems and distill the message into a clear plan. - Outstanding organizational, communication, leadership, interpersonal and decision-making abilities. - Experience managing conflicting objectives and compressed timelines within complex industrial project execution. - Exceptional drive, sense of ownership and resourcefulness. - Positive mindset and a passion for manufacturing infrastructure. - Thrives under pressure and in ambiguous environments. WHERE YOU'LL WORK: This role is based at Form Factory 1 in Weirton, WV—an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available. [Remote or CO jobs - add] Applications will be accepted until the job is filled. [Pick correct location tag] #LI-Remote, #LI-Hybrid, #LI-Onsite [If this role should NOT pull into LinkedIn] #LI-DNI [Pick correct recruiter tag] Nicole Myers (she/her) - #LI-NM1 Julia Peterson - #LI-JP1 Andrew Duquet - #LI-AD1 Lienne Ng - #LI-LN1 Carolina Barbachano - #LI-CB1 Andrew Cassara - #LI-AC1 Tyler Roush - #LI-TR1 Dan Leiser - #LI-DL1 Joe Montgomery - #LI-JM2 Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Factory Design Manager at Form Energy. Skills: Factory design, Manufacturing, Project management. Lead factory design. Lead design execution", "createdAt" : "2026-06-14T04:06:28.771", "lastUpdated" : "2026-06-15T13:48:19.505", "ingestTimestamp" : "2026-06-14T04:06:28.771", "mongoId" : "6a2cb01a74d8ee00a09d8d67", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 215000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Factory design", "Manufacturing", "Material flow", "Construction", "Project management", "Leadership", "Decision-making", "Project management fundamentals", "Engineering problem solving", "Program management fundamentals", "Battery manufacturing", "Energy storage", "Iron-air batteries", "High-volume manufacturing", "Procore" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "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. Implement vehicle software systems", "createdAt" : "2026-06-14T03:54:44.538", "lastUpdated" : "2026-06-15T04:58:43.475", "ingestTimestamp" : "2026-06-14T03:54:44.538", "mongoId" : "6a2c68bb74d8ee00a09047b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning", "Backend systems", "Software engineering", "AI/ML", "Algorithm analysis", "System design", "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", "Safety-critical systems", "Real-world testing protocols", "ROS2", "CARLA" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3b274d8ee00a09acdc1", "title" : "Auto Body Paint Prepper", "company" : "Carvana", "industry" : "Retail", "salary" : { "min" : 20.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Akron, New York, United States", "locations" : [ "Akron", "New York", "United States" ], "timestamp" : "2026-06-15T09:27:26.751", "fingerprint" : "8feab2bc25535d518b0f53ba40b658d7f0c4f6c997240d8f2df46c1e7219b377", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.carvana.com/careers/apply?gh_jid=8003330", "externalId" : "8003330", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Akron", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0208924,-78.4953015" } ], "locationText" : "Akron, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Paint mixing, Airbrush", "hardSkillsList" : [ "Automotive painting", "Vehicle priming", "Final sanding", "Buffing", "Touch-up" ], "hardSkills" : [ { "name" : "Automotive painting", "level" : "intermediate" }, { "name" : "Vehicle priming", "level" : "intermediate" }, { "name" : "Final sanding", "level" : "intermediate" }, { "name" : "Buffing", "level" : "intermediate" }, { "name" : "Touch-up", "level" : "intermediate" } ], "majorSkills" : "Automotive painting, Vehicle priming, Sanding", "majorSkillsList" : [ "Automotive painting", "Vehicle priming", "Sanding" ], "coreResponsibilities" : "Prime vehicles, Perform final sanding, Buff vehicles, Perform touch-up, Mix paint, Use airbrush", "teamCollaboration" : "Team players", "domainKnowledge" : "Automotive painting", "domainList" : [ "automotive-painting" ], "domainSpecificKnowledge" : [ "Automotive painting" ], "continuousLearning" : "Training programs; Tuition reimbursement; Student loan repayment", "specialRequirements" : "Mandatory overtime, Lift up to 60 pounds", "qualificationsBasic" : "1 year automotive painting experience, At least 18 years of age, Possess a valid driver’s license, Ability to lift up to 60 pounds", "qualificationsPreferred" : "ASE reimbursement programs, Tool reimbursement programs, Tuition reimbursement, Student loan repayment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Pay Range: $20-$24 hourly *Plus $500 Bonus! We’re looking for Auto Painters with a minimum of 1 year of professional automotive painting experience to join us at Carvana - the fastest-growing used automotive retailer in U. S. history and one of the four fastest companies to make the Fortune 500. As a Painter, you’ll be expected to prime vehicles and perform final sanding before the vehicle is painted, along with buffing, touch-up, paint mixing, and airbrush. At Carvana, you’ll receive a competitive wage and amazing perks – including a 401(k) with Carvana match and even a vehicle purchase discount – all while using state of the art tools in one of our high-tech Inspection Centers (click here to learn more). If you’re joining us in an entry-level position, we offer training programs to make sure your skills and pay progress along with the company. Other perks of the Job 100% company-paid healthcare premiums Generous paid-time off and your birthday is a holiday! ASE and tool reimbursement programs Tuition reimbursement and student loan repayment Schedule: We do everything we can to deliver an exceptional customer experience, and that includes delivering great vehicles when expected. If we're in a pinch, mandatory overtime is one way in which we can follow-through on this commitment to our customers. We're looking for team players who are all in on our mission and are able to work mandatory overtime based on our business needs. How To Get Started Join the Carvana team by applying on this page, or call one of our recruiters by phone at (888) 690-7853, Monday through Friday, between 6 AM and 4 PM PT (9AM to 7PM ET). Not a match for this role? We have a variety of paint roles available, depending on your experience - look below to see other roles available to help us get our low-mileage, late-model cars ready for our customers: Paint Prepper (min 6 months professional experience): prepare vehicles for cosmetic paintwork, including sanding, masking, taping, bagging, unbagging/tear down, and buffing Entry-Level Painter (min 1 year professional experience): prime vehicles and perform final sanding before the vehicle is painted, along with buffing, touch-up, paint mixing, and airbrush. Mid-Level Painter (min 3 years professional experience): match/mix paint color and use water-based paint to paint the vehicle inside our paint booths Experienced Painter (min 5 years professional experience): painting (base coats, tri-coats, solid, metallic, and clear coats), blending adjacent panels, and paint correcting vehicles. We also have a variety of other automotive roles available in one of our 18 locations across the country – take a look at our Careers site to apply for one of the following roles: Auto Body roles: Paint, Prep/Body work, Wheel Repair, Airbrush, Interior Repair, Glass Repair, and PDR (Paintless Dent Repair) roles Auto Technician/Mechanic roles: Lube and Oil, Inspection, Brake and Tire, Mechanical Repair / Build, and Master Technician roles Entry-Level roles: Detailing, Inventory Associate (Car Porters), Photo, Parts Associate, Inspection, and Coordinator/Administrator roles General qualifications and requirements Ability to physically operate vehicle equipment and tools - must be able to lift up to 60 pounds independently Must be at least 18 years of age and possess a valid driver’s license. Some positions may be subject to an Motor Vehicle Records (MVR) check An ability to work in a fast-paced, ever-changing production environment while sometimes being exposed to excessive weather conditions (heat/cold) Use of safety equipment that may include but not limited to face shield or goggles, non-slip shoes, gloves, mask, and other protective garments and equipment About Carvana At Carvana, we sell cars but we aren’t car salesmen. Our promise is simple: we won’t sell a car to a customer that we wouldn’t sell to our own Mom. Period. To make sure our cars are in first-rate condition, we’ve built multiple vehicle Reconditioning Centers around the country, where our cars are inspected, perfected, and photographed before reaching the Carvana website. Think you’ve got what it takes to join our team? Apply today! Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Hiring is contingent on passing a complete background check. This role is not eligible for visa sponsorship. Must be at least 18 years of age and possess a valid driver’s license. Must be able to read, write, speak and understand English.", "summaryDescription" : "Auto Body Paint Prepper at Carvana. Skills: Automotive painting, Vehicle priming, Sanding. Prime vehicles. Perform final sanding", "postedDate" : "2026-06-14T05:03:41.507", "createdAt" : "2026-06-14T05:03:41.507", "lastUpdated" : "2026-06-15T09:27:26.751", "ingestTimestamp" : "2026-06-14T05:03:41.507", "mongoId" : "6a2ca3b274d8ee00a09acdc1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Automotive painting", "Vehicle priming", "Final sanding", "Buffing", "Touch-up", "Sanding" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30593bf292fd229cf45ffc", "title" : "Factory Planning and Expansion Lead", "company" : "Skydio", "industry" : "Operations", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Factory Planning and Expansion Lead in Hayward, United States, adjusted for the technology industry and company size." }, "location" : "Hayward, California, United States", "locations" : [ "Hayward, California, United States" ], "timestamp" : "2026-06-16T15:08:35.224", "fingerprint" : "ae34dc0bd2f34ed9505c9a46ab32f3ef94c586bfda6164d112e3fe6fff34feb7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skydio/d5e0daff-ea01-43e4-ad9d-b43f61a0f79d/application", "externalId" : "d5e0daff-ea01-43e4-ad9d-b43f61a0f79d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hayward", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6688205,-122.0807960" } ], "locationText" : "Hayward, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "rawDescription" : "Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions. About the role: We are seeking a highly experienced Factory Planning & Expansion Lead to drive the end-to-end planning, factory layout, and support construction of new manufacturing facilities and expansions of existing sites. This role is heavily focused on factory design, layouts, and space planning requiring deep expertise in capital projects, site development, contractor management, and industrial building systems. You will lead complex, large-scale factory design from concept through commissioning, ensuring projects are delivered on time, within budget, and to operational requirements. How you'll make an impact: Factory Expansion & Construction Leadership - Support as needed all phases of factory expansion projects, including site selection support, feasibility, design coordination, construction, and commissioning - Serve as the owner’s representative for all construction activities, ensuring alignment with business and production goals - Develop and manage project scopes, schedules, budgets, and capital expenditure plans as it pertains to factory equipment and facility requirements Construction Management - Support as needed general contractors, subcontractors, architects, and engineering firms - Support construction execution, including site development, civil works, structural, MEP (mechanical, electrical, plumbing), and utilities infrastructure - Conduct regular site inspections to monitor progress, quality, and safety compliance to ensure ensure factory deliverables Design & Planning Integration - Collaborate with manufacturing, process engineering, and operations teams to translate production needs into facility requirements - Ensure factory layouts, workflows, and utilities are integrated into construction plans - Review and approve design drawings, specifications, and construction documents Project Delivery & Controls - Implement strong project governance, including risk management, cost control, and schedule tracking - Identify and mitigate construction risks, delays, and cost overruns Commissioning & Handover - Oversee commissioning of facilities, ensuring readiness for manufacturing operations - Drive punch list completion, final inspections, and occupancy approvals - Ensure smooth transition from construction to operations What makes you a strong fit: - Bachelor’s degree in Construction Management, Civil Engineering, Architecture, or related field (Master’s preferred) - 10+ years of experience in industrial construction or capital projects, with significant exposure to aerospace or high-spec manufacturing environments - Proven track record delivering large-scale manufacturing facilities, hangars, or precision production spaces - Strong expertise in construction project management, contracts, and site execution - Deep understanding of industrial building systems (MEP, utilities, clean rooms, etc. as applicable) - Experience working in fast-paced, high-growth manufacturing environments is a plus - Previous industrial experience, mechanical & infrastructure intense projects - Experience with factory automation or advanced manufacturing environments - Familiarity with lean factory design or production flow optimization - Experience with sustainability, energy systems, or green building standards (LEED, etc.) - Strong knowledge of industrial factory design, MEP systems, and site development Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $147,000 - $210,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria. *Compensation for certain positions may vary based on the position’s location. #LI-JC1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/", "summaryDescription" : "Factory Planning and Expansion Lead at Skydio", "createdAt" : "2026-06-16T00:29:40.432", "lastUpdated" : "2026-06-16T15:08:35.224", "ingestTimestamp" : "2026-06-16T00:29:40.432", "mongoId" : "6a30593bf292fd229cf45ffc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 305000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059acf292fd229cf49df3", "title" : "Factory Operator- (BANDSAW Experience WANTED!!)", "company" : "NOX Metals", "industry" : "Operations", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Factory Operator in Detroit, with adjustments for mid-seniority and the manufacturing industry." }, "location" : "Detroit", "locations" : [ "Detroit" ], "certifications" : [ "Forklift certification", "Overhead crane certification" ], "timestamp" : "2026-06-16T10:55:43.744", "fingerprint" : "ff9be89e1d8f57fc7436747a9ee5145bfb59455e15632d2ea8c99d2d5cc6ffad", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nox-metals/c68370c6-a52a-4112-9fe4-9ddaa8385eda/application", "externalId" : "c68370c6-a52a-4112-9fe4-9ddaa8385eda", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Detroit", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3315509,-83.0466403" } ], "locationText" : "Detroit, Michigan, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Bandsaw operation", "Material handling" ], "hardSkills" : [ { "name" : "Bandsaw operation", "level" : "intermediate" }, { "name" : "Material handling", "level" : "intermediate" } ], "majorSkills" : "Bandsaw operation, Quality inspection", "majorSkillsList" : [ "Bandsaw operation", "Quality inspection" ], "coreResponsibilities" : "Operate industrial bandsaws, Cut aluminum plate, Cut aluminum bar, Cut aluminum rounds, Read cut lists accurately, Measure finished pieces, Verify finished pieces, Load material, Unload material, Inspect cuts for quality, Flag non-conforming material, Package finished orders, Label finished orders, Stage finished orders, Perform machine maintenance, Keep work area clean, Log job completions", "domainKnowledge" : "Aerospace supply chain; Defense supply chain", "domainList" : [ "aerospace-supply-chain", "defense-supply-chain" ], "domainSpecificKnowledge" : [ "Aerospace supply chain", "Defense supply chain" ], "toolProficiency" : [ "Forklifts", "Overhead cranes" ], "specialRequirements" : "Physically capable of working on feet, Work 24/7 schedule", "outcomesObjectives" : "Cut aluminum to customer spec; Cut accurately every time; Ship quality cuts", "qualificationsBasic" : "Operate industrial bandsaws, Read and execute cut lists, Measure and verify finished pieces, Load and unload material, Inspect cuts for quality, Package, label, and stage orders, Perform basic machine maintenance, Log job completions, Read a tape measure, Work to tight tolerances, Reliable and physically capable", "qualificationsPreferred" : "Experience cutting aluminum, Forklift certification, Overhead crane certification, Familiarity with aerospace quality standards, Familiarity with defense quality standards", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Bandsaw Operator Detroit, MI · Full-Time · Competitive Pay + Equity NOX Metals is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to move metal faster than the industry thought possible. We run 24/7 and we are growing. If you can operate a bandsaw and take pride in cutting it right the first time, we want to talk. You will: - Operate industrial bandsaws to cut aluminum plate, bar, and rounds to customer spec - Read and execute cut lists accurately — every cut, every order - Measure and verify finished pieces against job requirements - Load and unload material using forklifts and overhead cranes - Inspect cuts for quality and flag any non-conforming material - Package, label, and stage finished orders for shipment - Perform basic machine maintenance and keep your work area clean - Log job completions in our software system You are: - Experienced on industrial bandsaws or similar cutting equipment - Able to read a tape measure and work to tight tolerances - Detail-oriented — you do not ship a bad cut - Reliable and physically capable of working on your feet for a full shift - Someone who takes ownership of their machine and their work Nice to have: - Experience cutting aluminum or other non-ferrous metals - Forklift and/or overhead crane certification - Familiarity with aerospace or defense supply chain quality standards Competitive pay + company equity. Apply at jobs.ashbyhq.com/nox-metals http://jobs.ashbyhq.com/nox-metals", "summaryDescription" : "Factory Operator- (BANDSAW Experience WANTED!!) at NOX Metals. Skills: Bandsaw operation, Quality inspection. Operate industrial bandsaws. Cut aluminum plate", "createdAt" : "2026-06-16T00:29:18.829", "lastUpdated" : "2026-06-16T10:55:43.744", "ingestTimestamp" : "2026-06-16T00:29:18.829", "mongoId" : "6a3059acf292fd229cf49df3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Bandsaw operation", "Material handling", "Quality inspection", "Aerospace supply chain", "Defense supply chain", "Forklift certification", "Overhead crane certification", "Forklifts", "Overhead cranes" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a2da", "title" : "Specification Specialist 2", "company" : "HDR", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Specification Specialist in Los Angeles, USA, adjusted for the construction industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T22:35:42.329", "fingerprint" : "0d6b404323be9d9ecb35ece88f2ace0ed60a922bf1b64a7dc3fc08a2ebfa7b32", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=752591", "externalId" : "752591", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Material recommendation", "Procedure recommendation", "Specification writing" ], "coreResponsibilities" : "Recommend materials, Recommend procedures, Recommend technical specifications requirements and contents", "domainKnowledge" : "Specifications", "domainList" : [ "specifications" ], "domainSpecificKnowledge" : [ "Specifications" ], "toolProficiency" : [ "Microsoft Office" ], "qualificationsBasic" : "Bachelor's degree in Architecture, 5 years experience working with specifications, Knowledge to recommend materials, Knowledge to recommend procedures, Knowledge to recommend technical specifications requirements and contents, Experience with Microsoft Office, Commitment to employee-owned culture", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Bachelor's degree in Architecture, Engineering or combination of education and relevant experience A minimum of 5 years experience working with specifications Knowledge in the ability to recommend materials, procedures, and technical specifications requirements and contents Experience with Microsoft Office An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-California-Los Angeles", "summaryDescription" : "Specification Specialist 2 at HDR. Recommend materials. Recommend procedures", "createdAt" : "2026-06-14T21:52:59.926", "lastUpdated" : "2026-06-15T22:35:42.329", "ingestTimestamp" : "2026-06-14T21:52:59.926", "mongoId" : "6a16291c58b93c861e95a2da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Material recommendation", "Procedure recommendation", "Specification writing", "Specifications", "Microsoft Office" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c5e4374d8ee00a08e294e", "title" : "Senior Vehicles Specialist", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 1150000.0, "max" : 1650000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Vehicles Specialist in Prague, Czech Republic, adjusted for the technology industry and company size." }, "location" : "Prague, Czech Republic", "locations" : [ "Prague", "Czech Republic" ], "timestamp" : "2026-06-15T00:28:28.631", "fingerprint" : "dafab4ba95ee2b551805f544429c18a0c3bd78a570add2ced9936052d0ccd4bd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8535437002?gh_jid=8535437002", "externalId" : "8535437002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Prague", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0874654,14.4212535" } ], "locationText" : "Prague, Czech Republic", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Vehicle operations, Fleet management", "majorSkillsList" : [ "Vehicle operations", "Fleet management" ], "domainKnowledge" : "Vehicle maintenance; City logistics", "domainList" : [ "vehicle-maintenance", "city-logistics" ], "domainSpecificKnowledge" : [ "Vehicle maintenance", "City logistics" ], "outcomesObjectives" : "Ensure smooth service; Ensure high vehicle availability; Ensure smooth customer experience", "qualificationsBasic" : "Fluent in Czech, Intermediate in English", "qualificationsPreferred" : "Interest in cars, Basic vehicle maintenance knowledge, Understanding of operational workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Senior Vehicles Specialist in Prague to manage Bolt Drive's fleet and daily operations. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Senior Vehicles Specialist, you will assist the Fleet Manager with vehicle operations. You will also carry out daily city logistics, document and key management, authority communication, and seasonal tyre changes to ensure a smooth service and high vehicle availability. Main tasks and responsibilities: Supporting Fleet Manager with vehicle in-fleet and defleet operations. Handling daily city operations in Prague to ensure the highest vehicle availability and a smooth customer experience. Responding to authorities. Managing spare keys, vehicle documents and other operational inventory. Coordinating seasonal tyre change project. About you: You have a passion and interest in cars. You’re organised, detail-oriented, and comfortable owning end-to-end processes. You understand basic vehicle maintenance and operational workflows. You stay calm in a dynamic, fast-paced environment and solve issues quickly. You are fluent in Czech and intermediate in English. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! Why you’ll love it here: Play a direct role in shaping the future of mobility. Work in fast-moving teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Take advantage of Bolt credits to ride our scooter and use our ride-hailing services for free. Enjoy various team events to get to know your colleagues. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Senior Vehicles Specialist at Bolt Technology. Skills: Vehicle operations, Fleet management", "postedDate" : "2026-06-12T21:59:06.000", "createdAt" : "2026-06-12T21:59:06.000", "lastUpdated" : "2026-06-15T00:28:28.631", "ingestTimestamp" : "2026-06-12T21:59:06.000", "mongoId" : "6a2c5e4374d8ee00a08e294e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Vehicle operations", "Fleet management", "Vehicle maintenance", "City logistics" ], "skillCount" : 4, "jobCategory" : "other", "jobSubcategory" : "bolt-drive", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5e0974d8ee00a08e08c6", "title" : "Materials & Processes Engineer", "company" : "Supernal", "industry" : "Advanced Air Mobility (AAM)", "salary" : { "min" : 108000.0, "max" : 132000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-15T00:49:08.947", "fingerprint" : "b08e8ea7eacb74a24dfea4a89090112e97b86b06d53e21a1be083279a0b05da5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/supernal/jobs/7770672003", "externalId" : "7770672003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "technicalSkills" : "Metallics, Composites, Structural bonding, CATIA, SolidWorks, NX, Minitab, JMP, MS Office Suite, Word, Excel, Project, Visio", "professionalSkills" : [ "Materials specifications", "Process specifications", "Design validation", "Supplier selection", "Supplier development", "Supplier qualifications", "Supplier evaluations" ], "hardSkillsList" : [ "Materials characterization", "Allowable generation", "Test plan execution", "Data analysis" ], "softSkillsList" : [ "Creative thinking" ], "hardSkills" : [ { "name" : "Materials characterization", "level" : "intermediate" }, { "name" : "Allowable generation", "level" : "intermediate" }, { "name" : "Test plan execution", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative thinking" } ], "majorSkills" : "Materials, Processes, Structural bonding", "majorSkillsList" : [ "Materials", "Processes", "Structural bonding" ], "coreResponsibilities" : "Apply technical knowledge, Support components across eVTOL vehicle, Build conventional materials solutions, Build novel materials solutions, Implement conventional process solutions, Implement novel process solutions, Ensure delivered hardware meets requirements, Support certification of AAM vehicles, Support production of AAM vehicles, Collaborate with Engineering verticals, Collaborate with Supply Chain teams, Support creation of material specifications, Support creation of process specifications, Ensure manufacturing quality, Evaluate materials across vehicle, Satisfy design requirements, Develop test plans, Execute test plans, Method development, Materials characterization, Allowable generation, Design validation, Author test reports, Author other summaries, Communicate information to engineering team, Participate in design reviews, Provide M&P input on strategy, Support supplier selection, Support supplier development, Support supplier qualifications, Support ongoing supplier evaluations, Support manufacture of hardware, Participate in industry working groups, Participate in standards bodies, Participate in technical conferences, Maintain awareness of technology developments, Maintain awareness of regulatory trends", "teamCollaboration" : "Engineering verticals; Supply Chain teams; Broader engineering team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Advanced Air Mobility (AAM); Metallics; Composites; Structural bonding; CMH-17; SAE; ASTM; First Principles approach", "domainList" : [ "advanced-air-mobility-aam", "metallics", "composites", "structural-bonding", "cmh-17", "sae", "astm", "first-principles-approach" ], "domainSpecificKnowledge" : [ "Advanced Air Mobility (AAM)", "Metallics", "Composites", "Structural bonding", "CMH-17", "SAE", "ASTM", "First Principles approach" ], "toolProficiency" : [ "CMH-17", "SAE", "ASTM", "Minitab", "JMP", "CATIA", "SolidWorks", "NX", "MS Office Suite" ], "communicationSkills" : "Communication", "documentationSkills" : "Documentation", "innovationCreativity" : "Creative thinking", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Up to 10% travel", "qualificationsBasic" : "Bachelor's degree in STEM, Minimum three (3) years of related experience, Experience working with technicians, Experience developing a Design of Experiments plan, Experience running and analyzing data from analytical materials characterization equipment, Technical knowledge in metallics, Technical knowledge in adhesives, Technical knowledge in composites, Technical knowledge in structural bonding, Familiarity with 3D CAD software, Familiarity with statistical software, Proficiency in writing R&D work instructions, Documentation of R&D work, Proficiency MS Office Suite tools", "qualificationsPreferred" : "Hands on experience with composite layup, Hands on experience with bonding", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Rise above. Are you ready to take human possibility to a new dimension with us? Supernal is an Advanced Air Mobility (AAM) company that’s developing an electric vertical take-off and landing (eVTOL) vehicle and the ground-to-air ecosystem to support the emerging industry. By creating a sustainable, integrated, and human-centered ecosystem, we are committed to taking a thoughtful and responsible approach to entering the AAM market with a product that meets the high level of safety and reliability in today’s air transportation system. The future of mobility starts with people. We believe in creative thinking and collaboration to help build a better mobility experience for everyone, improving people’s ability to move – whether for work or play. Join our dynamic team as we strive to be a part of something greater where potential powers tomorrow! Supernal provides an inviting open-space workplace designed to foster collaboration, which aligns with one of our core values. This position is required to work on-site 5 days a week. What we do: The Materials & Process Engineer applies their technical knowledge and expertise in metallics, composites and structural bonding to support components across our eVTOL vehicle. This role works toward building and implementing conventional and novel materials and process solutions while working with our partners to ensure delivered hardware meets requirements and leads to the certification and production of new AAM vehicles. This position collaborates with all Engineering verticals & Supply Chain teams during the design process. What you can do: Support creation of material specifications and process specifications that support manufacturing & ensure quality Evaluate materials across the vehicle to satisfy design requirements Develop and execute test plans for metallics, composites and structural bonding, method development, materials characterization, allowable generation, and design validation Author test reports and other summaries to communicate information to the broader engineering team Participate in design reviews for hardware components/assemblies Provide M&P input on strategy, supplier selection, development, qualifications, and ongoing evaluations Support the manufacture of hardware both in-house and at suppliers Participate in industry working groups, standards bodies, and relevant technical conferences and symposia to maintain awareness of technology developments & regulatory trends across academia and industry May require up to 10% of domestic and international travel Other duties as assigned What you can contribute: Bachelor's degree in STEM or related field required Minimum three (3) years of related experience (an equivalent combination of education and experience may be considered) Experience working with technicians Experience developing a Design of Experiments plan Experience running and analyzing data from analytical materials characterization equipment Technical knowledge in one or more of the areas of: metals, adhesives, composites, structural bonding Hands on experience with composite layup and bonding preferred Familiarity with 3D CAD software (CATIA, SolidWorks, NX, or similar) Familiarity with statistical software, including Minitab, JMP, or similar Knowledge of CMH-17, SAE, ASTM, and other standard bodies Proficiency in writing R&D work instructions and documentation of R&D work Proficiency MS Office Suite tools such as Word, Excel, Project & Visio Understanding of a “First Principles” approach to problem solving Proactive and efficient delivery of communication and follow-up Base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a bonus as part of total compensation. The pay range for this position is: $108,000—$132,000 USD Click HERE or visit: https://jobs.supernal.aero/benefits to view our benefits! Any offer of employment is conditioned upon the successful completion of a background check. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, citizenship, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other category or class protected under applicable federal, state or local law. Individuals with disabilities may request a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at: ta-support@supernal.aero This position may include access to certain technology and/or software source code subject to U. S. export controls laws and regulations. If an export authorization from an applicable US regulatory agency is required in connection with your employment, your employment is contingent upon Supernal’s receipt of such regulatory authorization(s) and your continued compliance with all conditions and limitations pursuant to such authorization(s).", "summaryDescription" : "Materials & Processes Engineer at Supernal. Skills: Materials, Processes, Structural bonding. Apply technical knowledge. 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Procurement and IT; Procurement and other departments; Meetings with IT teams; Meetings with vendors", "projectManagementSkills" : [ "System improvements", "System updates", "New procurement tools" ], "domainKnowledge" : "Procurement operations; Procurement IT systems; Electric pick-up trucks; Rugged SUVs", "domainList" : [ "procurement-operations", "procurement-it-systems", "electric-pick-up-trucks", "rugged-suvs" ], "domainSpecificKnowledge" : [ "Procurement operations", "Procurement IT systems", "Electric pick-up trucks", "Rugged SUVs" ], "toolProficiency" : [ "SAP", "ERP" ], "documentationSkills" : "User training programs; System manuals; Process manuals", "innovationCreativity" : "System improvements; New features", "problemSolvingSkills" : "Troubleshooting issues; Resolve technical issues", "specialRequirements" : "5 days per week in office, 10% travel", "outcomesObjectives" : "Maximize system efficiency; Enhance procurement efficiency; Support decision-making; Support process improvements; Streamline procurement operations; Increase efficiency", "qualificationsBasic" : "5 days per week in office, Valid driver's license", "qualificationsPreferred" : "Experience generating procurement reports, Experience interpreting procurement reports", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! About the team The Procurement Systems and Processes Specialist is responsible for the effective use, optimization, and support of Procurement IT systems that underpin procurement operations. This role serves as the main point of contact between the Procurement department and IT teams, ensuring that procurement processes are fully supported by technology and that system users are trained to maximize efficiency. The Senior Specailst plays a crucial role in implementing system improvements, troubleshooting issues, and acting as a liaison during system updates or changes. What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Act as the subject matter expert (SME) for procurement IT systems, including ERP (e.g., SAP), eProcurement tools, and other digital platforms used in procurement processes. System Rollout, Maintenance & Optimization: Lead rollout and launch of Scout’s Procurement systems, working cross-functionally with Scout IT and Global Procurement colleagues. Establish system rollout schedule, budget, and define the necessary resources to meet requirements Ensure the smooth functioning of procurement systems by collaborating with IT to resolve any technical issues. Suggest and implement system improvements or new features to enhance procurement efficiency. Monitor system performance and coordinate upgrades or updates. User Support & Training: Provide first-level support to procurement team members and other system users for system-related issues or queries. Develop and deliver user training programs, documentation, and system and process manuals. Ensure that end-users are proficient in using procurement systems and follow best practices. Data Management & Reporting: Ensure data accuracy and integrity within procurement systems, including vendor information, purchase orders, contracts, and more. Generate and analyze reports from procurement systems to support decision-making and process improvements. Collaborate with procurement management to refine reporting tools and metrics. Process Improvement: Identify opportunities for process improvements within procurement workflows, ensuring alignment with system capabilities. Collaborate with cross-functional teams to streamline procurement operations and increase efficiency. Lead or participate in projects to implement new procurement tools or functionalities. Stakeholder Liaison: Act as a bridge between procurement, IT, and other departments to ensure system requirements are met and issues are communicated effectively. Participate in meetings with IT teams and external system vendors to discuss system needs, updates, and performance. Location & Travel Expectations: This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC or Novi, Michigan. This role requires 5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: Domestic and international travel required, approximately 10 % of the time. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Personal Qualities & Abilities: High integrity and professionalism Able to effectively collaborate in a team setting with other functions/departments Business and performance driven Ability to adapt in an ambiguous and fact-paced environment Strong planning and analytical skills Strategic thinking & understanding Positive mindset Proactivity and the ability to work across multiple workstreams A passion for creating something new       Ability to find creative solutions to complex problems Ability to communicate effectively across all levels of an organization Minimum requirements: A Bachelor’s degree in in Supply Chain Management, Information Systems, Business Administration, or a related field is preferred 4+ years of experience in a manufacturing or automotive environment, preferably in a Project Management, IT Project Management or similar function Strong knowledge of procurement processes and systems (e.g., ERP systems, eProcurement) and prior experience in a procurement or IT support role Experience with SAP, Ivalua, Oracle, AI Tools is preferred Strong problem-solving skills and ability to troubleshoot system issues Excellent communication skills and ability to train and support end-users Ability to work cross-functionally and manage multiple stakeholders Analytical mindset with experience in generating and interpreting procurement reports What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $90,000.00 - $115,000.00 Internal leveling code: IC9 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Specialist, Procurement Systems and Processes at Scout Motors. Skills: Procurement systems, Procurement processes, IT systems support. Act as subject matter expert. Lead system rollout", "postedDate" : "2026-06-14T03:46:44.862", "createdAt" : "2026-06-14T03:46:44.862", "lastUpdated" : "2026-06-15T08:55:30.709", "ingestTimestamp" : "2026-06-14T03:46:44.862", "mongoId" : "6a2ca59174d8ee00a09b7258", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "System optimization", "User training", "Data accuracy", "Data integrity", "Reporting tools", "Process improvement", "Leadership", "Critical thinking", "Procurement systems", "Procurement processes", "IT systems support", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "System improvements", "System updates", "New procurement tools", "Procurement operations", "Procurement IT systems", "Electric pick-up trucks", "Rugged SUVs", "SAP", "ERP" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305119f292fd229cefa45d", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior ML Engineer in Romania, adjusted for industry and seniority." }, "location" : "Romania", "locations" : [ "Romania" ], "timestamp" : "2026-06-16T10:46:11.403", "fingerprint" : "53b3cc16b6274bd3d1be1c2c06aa7c8a93889852fc577b574f29d06ad190f786", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0c8da6ff-c724-4e26-97ff-0ce5c23883b5/apply", "externalId" : "0c8da6ff-c724-4e26-97ff-0ce5c23883b5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Romania", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, ML frameworks, LLM architectures, FP8, MXFP4, GPU, Deep learning, Distributed systems, Flash Attention, Quantization", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Design", "Evolution", "Productionize", "Low-precision training", "Low-precision inference", "GPU workloads", "Architectural improvements", "Scalable distributed training", "Scalable distributed inference", "Engineering best practices", "ML systems" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Deep learning training", "Software engineering" ], "hardSkills" : [ { "name" : "Transformer architectures", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "Deep learning training", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization", "majorSkillsList" : [ "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization" ], "coreResponsibilities" : "Drive inference optimization efforts, identify bottlenecks, implement performance improvements, Contribute to design of inference engines, Contribute to evolution of inference engines, Develop low-precision training pipelines, Develop low-precision inference pipelines, productionize low-precision training, productionize low-precision inference, Profile GPU workloads, analyze GPU workloads, identify performance constraints, guide architectural improvements, Collaborate on distributed training systems, Collaborate on distributed inference systems, Contribute to engineering best practices, Contribute to maintainable ML systems", "teamCollaboration" : "Highly technical teams; 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Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization. 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Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. 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Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. 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Identify performance constraints", "outcomesObjectives" : "Improving throughput; Reducing latency; Reducing cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures, Large language models, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Deep knowledge of GPU architecture, Memory hierarchy, Compute vs. memory trade-offs, Experience with large-scale deep learning training, Distributed systems, Sharding strategies, Custom kernel development, Software engineering skills, Advanced proficiency in Python, Modern ML frameworks, Solid understanding of software engineering practices, Version control, CI/CD pipelines, Unit testing", "qualificationsPreferred" : "Speculative decoding, KV-cache optimization, Support for dense and MoE models, Low-precision training, Low-precision inference pipelines, FP8, MXFP4, Nsight, PyTorch Profiler, Flash Attention, Quantization techniques", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. Drive inference optimization efforts. Identify bottlenecks", "postedDate" : "2026-06-15T07:46:43.684", "createdAt" : "2026-06-15T07:46:43.684", "lastUpdated" : "2026-06-16T12:09:58.478", "ingestTimestamp" : "2026-06-16T03:23:32.060", "mongoId" : "6a305119f292fd229cefa460", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Transformer architectures", "Large language models", "GPU architecture", "Deep learning training", "Software engineering practices", "ML Engineering", "LLM Optimization", "GPU Computing", "Inference optimization", "Performance improvements", "Scalable distributed training", "Engineering best practices", "Maintainable ML systems", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Distributed systems", "Sharding strategies", "MoE models", "Nsight", "PyTorch Profiler", "Git", "CI/CD" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cefa45e", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior ML Engineer in Ireland, adjusted for seniority and industry." }, "location" : "Ireland", "locations" : [ "Ireland" ], "timestamp" : "2026-06-16T12:16:58.317", "fingerprint" : "7938d9fb4c31e57194bc7697fda262ed069b6c2c32932bb5d08a1ceb766e9685", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0cd33804-064f-436f-9e1c-924d12b5ae47/apply", "externalId" : "0cd33804-064f-436f-9e1c-924d12b5ae47", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ireland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, ML frameworks, GPU architecture, Transformer architectures, Large language models, Distributed systems, Custom kernels", "professionalSkills" : [ "Inference optimization", "Performance improvements", "System design", "Software engineering", "ML systems" ], "hardSkillsList" : [ "Machine learning", "LLM architectures", "GPU profiling", "Deep learning training", "Sharding strategies", "Kernel development", "Software engineering practices", "CI/CD", "Unit testing" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "LLM architectures", "level" : "intermediate" }, { "name" : "GPU profiling", "level" : "intermediate" }, { "name" : "Deep learning training", "level" : "intermediate" }, { "name" : "Sharding strategies", "level" : "intermediate" }, { "name" : "Kernel development", "level" : "intermediate" }, { "name" : "Software engineering practices", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, LLM Optimization, GPU Computing, Deep Learning", "majorSkillsList" : [ "ML Engineering", "LLM Optimization", "GPU Computing", "Deep Learning" ], "coreResponsibilities" : "Drive inference optimization efforts, Identify bottlenecks, Implement performance improvements, Contribute to inference engine design, Contribute to inference engine evolution, Develop low-precision training pipelines, Develop low-precision inference pipelines, Productionize low-precision training pipelines, Productionize low-precision inference pipelines, Profile GPU workloads, Analyze GPU workloads, Identify performance constraints, Guide architectural improvements, Collaborate on distributed training systems, Collaborate on distributed inference systems, Contribute to engineering best practices, Contribute to testing practices, Contribute to CI/CD practices, Contribute to maintainable ML systems", "teamCollaboration" : "Highly technical teams; 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Identify performance constraints", "outcomesObjectives" : "Improve throughput; Reduce latency; Reduce cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures knowledge, Large language models knowledge, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Nsight usage, PyTorch Profiler usage, Deep knowledge of GPU architecture, Memory hierarchy knowledge, Compute vs. memory trade-offs knowledge, Experience with large-scale deep learning training, Distributed systems experience, Sharding strategies experience, Custom kernel development experience, Advanced proficiency in Python, Modern ML frameworks proficiency, Solid understanding of software engineering practices, Version control knowledge, CI/CD pipelines knowledge, Unit testing knowledge", "qualificationsPreferred" : "Speculative decoding knowledge, KV-cache optimization knowledge, MoE models support knowledge, FP8 training knowledge, MXFP4 training knowledge, FP8 inference knowledge, MXFP4 inference knowledge, Flash Attention knowledge, Quantization techniques knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing, Deep Learning. Drive inference optimization efforts. Identify bottlenecks", "postedDate" : "2026-06-15T07:45:30.253", "createdAt" : "2026-06-15T07:45:30.253", "lastUpdated" : "2026-06-16T12:16:58.317", "ingestTimestamp" : "2026-06-16T03:24:40.834", "mongoId" : "6a305119f292fd229cefa45e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Machine learning", "LLM architectures", "GPU profiling", "Deep learning training", "Sharding strategies", "Kernel development", "Software engineering practices", "CI/CD", "Unit testing", "ML Engineering", "LLM Optimization", "GPU Computing", "Deep Learning", "Inference optimization", "Performance improvements", "System design", "Software engineering", "ML systems", "Transformer architectures", "Large language models", "GPU architecture", "KV-cache optimization", "MoE models", "Low-precision training", "Low-precision inference", "Distributed training systems", "Custom kernels", "Hardware-aware optimizations", "Nsight", "PyTorch Profiler", "Version control" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cefa461", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior ML Engineer in Switzerland, adjusted for seniority and the technology industry." }, "location" : "Switzerland", "locations" : [ "Switzerland" ], "timestamp" : "2026-06-16T10:21:16.010", "fingerprint" : "848c35db12ce476d4190c890b9d583f61c7b16df3a3ccadf51d41889ffa94c19", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/8b30923b-07a1-48b0-b745-7f7ec7f1f559/apply", "externalId" : "8b30923b-07a1-48b0-b745-7f7ec7f1f559", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Switzerland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLM, GPU, FP8, MXFP4, Flash Attention, RoPE, KV-cache", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Scalable distributed training", "Architectural improvements", "Engineering best practices", "Production-grade ML systems" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Attention mechanisms", "Quantization techniques", "Distributed systems", "Sharding strategies", "Custom kernel development", "Version control", "CI/CD pipelines", "Unit testing" ], "hardSkills" : [ { "name" : "Transformer architectures", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "Memory hierarchy", "level" : "intermediate" }, { "name" : "Compute trade-offs", "level" : "intermediate" }, { "name" : "Attention mechanisms", "level" : "intermediate" }, { "name" : "Quantization techniques", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Sharding strategies", "level" : "intermediate" }, { "name" : "Custom kernel development", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization", "majorSkillsList" : [ "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization" ], "coreResponsibilities" : "Drive inference optimization efforts, Identify bottlenecks, Implement performance improvements, Improve throughput, Reduce latency, Reduce cost per token, Contribute to design of inference engines, Contribute to evolution of inference engines, Support speculative decoding, Support KV-cache optimization, Support dense models, Support MoE models, Develop low-precision training pipelines, Develop low-precision inference pipelines, Productionize low-precision training, Productionize low-precision inference, Profile GPU workloads, Analyze GPU workloads, Identify performance constraints, Guide architectural improvements, Collaborate on scalable distributed training, Collaborate on scalable distributed inference, Contribute to engineering best practices, Contribute to maintainable production-grade ML systems", "teamCollaboration" : "Highly technical teams; 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Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization. Drive inference optimization efforts. Identify bottlenecks", "postedDate" : "2026-06-15T07:44:43.202", "createdAt" : "2026-06-15T07:44:43.202", "lastUpdated" : "2026-06-16T10:21:16.010", "ingestTimestamp" : "2026-06-16T03:20:29.002", "mongoId" : "6a305119f292fd229cefa461", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Attention mechanisms", "Quantization techniques", "Distributed systems", "Sharding strategies", "Custom kernel development", "Version control", "CI/CD pipelines", "Unit testing", "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization", "Inference optimization", "Performance improvements", "Scalable distributed training", "Architectural improvements", "Engineering best practices", "Production-grade ML systems", "MoE models", "Speculative decoding", "Nsight", "PyTorch Profiler" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cefa464", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior ML Engineer in France, adjusted for seniority and industry." }, "location" : "France", "locations" : [ "France" ], "timestamp" : "2026-06-16T12:57:46.328", "fingerprint" : "d4504533b4b8666f0b91267c4d418de3249306226dc77e30b79fc2035d692d07", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/c332dbb0-8d4f-4248-a7a4-5becdc75bda0/apply", "externalId" : "c332dbb0-8d4f-4248-a7a4-5becdc75bda0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "France", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, ML frameworks, LLM, GPU, FP8, MXFP4, Transformer architectures, KV-cache, Flash Attention, Quantization", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Scalable distributed training", "Maintainable ML systems" ], "hardSkillsList" : [ "GPU workload analysis", "Distributed systems", "Custom kernel development", "CI/CD", "Unit testing" ], "hardSkills" : [ { "name" : "GPU workload analysis", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Custom kernel development", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, LLM Optimization, GPU Computing", "majorSkillsList" : [ "ML Engineering", "LLM Optimization", "GPU Computing" ], "coreResponsibilities" : "Drive inference optimization efforts, Identify bottlenecks, Implement performance improvements, Improve throughput, Reduce latency, Reduce cost per token, Contribute to inference engine design, Contribute to inference engine evolution, Develop low-precision training pipelines, Develop low-precision inference pipelines, Productionize low-precision training pipelines, Productionize low-precision inference pipelines, Profile GPU workloads, Analyze GPU workloads, Identify performance constraints, Guide architectural improvements, Collaborate on distributed training systems, Collaborate on distributed inference systems, Contribute to engineering best practices, Contribute to testing, Contribute to CI/CD, Contribute to maintainable ML systems", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "CI/CD" ], "domainKnowledge" : "Transformer architectures; 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Performance analysis", "outcomesObjectives" : "Improve throughput; Reduce latency; Reduce cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures, Large language models, Profiling and optimizing GPU workloads, Nsight or PyTorch Profiler, Deep knowledge of GPU architecture, Memory hierarchy, Compute vs. memory trade-offs, Key LLM concepts, Attention mechanisms, RoPE, KV-cache, Flash Attention, Quantization techniques, Large-scale deep learning training, Distributed systems, Sharding strategies, Custom kernel development, Software engineering skills, Advanced proficiency in Python, Modern ML frameworks, Solid understanding of software engineering practices, Version control, CI/CD pipelines, Unit testing", "qualificationsPreferred" : "FP8, MXFP4 training/inference pipelines, Hardware-aware optimizations", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. Drive inference optimization efforts. Identify bottlenecks", "postedDate" : "2026-06-15T07:43:56.040", "createdAt" : "2026-06-15T07:43:56.040", "lastUpdated" : "2026-06-16T12:57:46.328", "ingestTimestamp" : "2026-06-16T03:22:41.636", "mongoId" : "6a305119f292fd229cefa464", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "GPU workload analysis", "Distributed systems", "Custom kernel development", "CI/CD", "Unit testing", "ML Engineering", "LLM Optimization", "GPU Computing", "Inference optimization", "Performance improvements", "Scalable distributed training", "Maintainable ML systems", "Transformer architectures", "Large language models", "GPU architecture", "LLM concepts", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Sharding strategies", "Custom kernels", "Hardware-aware optimizations", "Speculative decoding", "MoE models", "Nsight", "PyTorch Profiler", "Git", "CI/CD tools" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cefa463", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior ML Engineer in Germany, adjusted for the technology industry and senior experience level." }, "location" : "Germany", "locations" : [ "Germany" ], "timestamp" : "2026-06-16T15:20:12.035", "fingerprint" : "056f2f8afdaeb247aa125515e8ef71f620b396655cb6d3f405469ba50049994d", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/bcf0a7cd-8c25-4bd2-9392-aaba297ab7a8/apply", "externalId" : "bcf0a7cd-8c25-4bd2-9392-aaba297ab7a8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLM, GPU, FP8, MXFP4, ML frameworks", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Distributed training", "Distributed inference", "Engineering best practices", "Production-grade ML systems" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Memory trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding strategies", "Custom kernel development", "Software engineering", "Version control", "CI/CD pipelines", "Unit testing" ], "hardSkills" : [ { "name" : "Transformer architectures", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "Memory hierarchy", "level" : "intermediate" }, { "name" : "Compute trade-offs", "level" : "intermediate" }, { "name" : "Memory trade-offs", "level" : "intermediate" }, { "name" : "Attention mechanisms", "level" : "intermediate" }, { "name" : "RoPE", "level" : "intermediate" }, { "name" : "KV-cache", "level" : "intermediate" }, { "name" : "Flash Attention", "level" : "intermediate" }, { "name" : "Quantization techniques", "level" : "intermediate" }, { "name" : "Deep learning training", "level" : "intermediate" }, { "name" : "Sharding strategies", "level" : "intermediate" }, { "name" : "Custom kernel development", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, LLM Optimization, GPU Computing", "majorSkillsList" : [ "ML Engineering", "LLM Optimization", "GPU Computing" ], "coreResponsibilities" : "Drive inference optimization efforts, identify bottlenecks, implement performance improvements, improve throughput, reduce latency, reduce cost per token, Contribute to design of inference engines, Contribute to evolution of inference engines, Develop low-precision training pipelines, Develop low-precision inference pipelines, productionize low-precision training pipelines, productionize low-precision inference pipelines, Profile GPU workloads, analyze GPU workloads, identify performance constraints, guide architectural improvements, Collaborate on distributed training systems, Collaborate on distributed inference systems, Contribute to engineering best practices, Contribute to maintainable ML systems", "teamCollaboration" : "Highly technical teams; 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Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. Drive inference optimization efforts. identify bottlenecks", "postedDate" : "2026-06-15T07:42:58.145", "createdAt" : "2026-06-15T07:42:58.145", "lastUpdated" : "2026-06-16T15:20:12.035", "ingestTimestamp" : "2026-06-16T03:21:59.191", "mongoId" : "6a305119f292fd229cefa463", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Memory trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding strategies", "Custom kernel development", "Software engineering", "Version control", "CI/CD pipelines", "Unit testing", "ML Engineering", "LLM Optimization", "GPU Computing", "Inference optimization", "Performance improvements", "Distributed training", "Distributed inference", "Engineering best practices", "Production-grade ML 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"https://jobs.lever.co/jobgether/0ba25454-e31b-4588-a3c5-803cf1c9fc9a/apply", "externalId" : "0ba25454-e31b-4588-a3c5-803cf1c9fc9a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, ML frameworks, LLM architectures, GPU workloads, Distributed systems, Custom kernels", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Engineering best practices", "Scalable distributed training", "Scalable distributed inference" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Memory trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding 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machine learning fundamentals, Transformer architectures, Large language models, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Deep knowledge of GPU architecture, Memory hierarchy trade-offs, Compute vs. memory trade-offs, Familiarity with key LLM concepts, Experience with large-scale deep learning training, Distributed systems, Sharding strategies, Custom kernel development, Advanced proficiency in Python, Modern ML frameworks, Solid understanding of software engineering practices, Version control, CI/CD pipelines, Unit testing, Communication skills", "qualificationsPreferred" : "Speculative decoding techniques, KV-cache optimization, Support for dense models, Support for MoE models, Low-precision training pipelines, Low-precision inference pipelines, FP8 training, FP8 inference, MXFP4 training, MXFP4 inference, Flash Attention, Quantization techniques", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Performance, Distributed Systems. Drive inference optimization efforts. identify bottlenecks", "postedDate" : "2026-06-15T07:42:15.244", "createdAt" : "2026-06-15T07:42:15.244", "lastUpdated" : "2026-06-16T13:12:14.821", "ingestTimestamp" : "2026-06-16T03:21:44.390", "mongoId" : "6a305119f292fd229cefa45c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Memory trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding strategies", "Custom kernel development", "Software engineering", "Version control", "CI/CD pipelines", "Unit testing", "ML Engineering", "LLM Optimization", "GPU Performance", "Distributed Systems", "Inference optimization", "Performance improvements", "Engineering best practices", "Scalable distributed training", "Scalable distributed inference", "LLM architectures", "distributed systems", "AI systems", "Nsight", "PyTorch Profiler" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cefa462", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior ML Engineer in Spain, adjusted for a senior role and technology industry." }, "location" : "Spain", "locations" : [ "Spain" ], "timestamp" : "2026-06-16T11:43:35.794", "fingerprint" : "cb3cdd0339ca3a50bf57899c8fb917e7f2c81cb525cde7ada19022e31312fc78", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/bb29a51e-3bf7-4a24-9eae-a8ffa06263bc/apply", "externalId" : "bb29a51e-3bf7-4a24-9eae-a8ffa06263bc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLM, FP8, MXFP4, GPU", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Scalable systems", "Distributed training", "ML systems" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding strategies", "Custom kernel development", "Software engineering", "Version control", "CI/CD pipelines", "Unit testing" ], "hardSkills" : [ { "name" : "Transformer architectures", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "Memory hierarchy", "level" : "intermediate" }, { "name" : "Compute trade-offs", "level" : "intermediate" }, { "name" : "Attention mechanisms", "level" : "intermediate" }, { "name" : "RoPE", "level" : "intermediate" }, { "name" : "KV-cache", "level" : "intermediate" }, { "name" : "Flash Attention", "level" : "intermediate" }, { "name" : "Quantization techniques", "level" : "intermediate" }, { "name" : "Deep learning training", "level" : "intermediate" }, { "name" : "Sharding strategies", "level" : "intermediate" }, { "name" : "Custom kernel development", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization", "majorSkillsList" : [ "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization" ], "coreResponsibilities" : "Drive inference optimization efforts, Identify bottlenecks, Implement performance improvements, Contribute to design of inference engines, Contribute to evolution of inference engines, Develop low-precision training pipelines, Develop low-precision inference pipelines, Productionize low-precision training pipelines, Productionize low-precision inference pipelines, Profile GPU workloads, Analyze GPU workloads, Identify performance constraints, Guide architectural improvements, Collaborate on distributed training systems, Collaborate on distributed inference systems, Contribute to engineering best practices, Contribute to testing practices, Contribute to CI/CD practices, Contribute to maintainable ML systems", "teamCollaboration" : "Highly technical teams; Cross-functional teams", "domainKnowledge" : "Machine learning fundamentals; Transformer architectures; Large language models; GPU architecture; Memory hierarchy; Compute vs. memory trade-offs; Attention mechanisms; RoPE; KV-cache; Flash Attention; Quantization techniques; Large-scale deep learning training; Distributed systems; Sharding strategies; Custom kernel development; Speculative decoding; MoE models", "domainList" : [ "machine-learning-fundamentals", "transformer-architectures", "large-language-models", "gpu-architecture", "memory-hierarchy", "compute-vs-memory-trade-offs", "attention-mechanisms", "rope", "kv-cache", "flash-attention", "quantization-techniques", "large-scale-deep-learning-training", "distributed-systems", "sharding-strategies", "custom-kernel-development", "speculative-decoding", "moe-models" ], "domainSpecificKnowledge" : [ "Machine learning fundamentals", "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute vs. memory trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Large-scale deep learning training", "Distributed systems", "Sharding strategies", "Custom kernel development", "Speculative decoding", "MoE models" ], "toolProficiency" : [ "Nsight", "PyTorch Profiler" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Continuous learning opportunities", "innovationCreativity" : "Innovation-driven engineering culture", "problemSolvingSkills" : "Identify bottlenecks; Identify performance constraints; Guide architectural improvements", "outcomesObjectives" : "Improving throughput; Reducing latency; Reducing cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures, Large language models, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Deep knowledge of GPU architecture, Memory hierarchy trade-offs, Compute vs. memory trade-offs, Experience with large-scale deep learning training, Distributed systems experience, Sharding strategies experience, Custom kernel development experience, Advanced proficiency in Python, Modern ML frameworks proficiency, Solid understanding of software engineering practices, Version control experience, CI/CD pipelines experience, Unit testing experience", "qualificationsPreferred" : "Nsight usage, PyTorch Profiler usage, Flash Attention familiarity, Quantization techniques familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization. Drive inference optimization efforts. Identify bottlenecks", "postedDate" : "2026-06-15T07:41:36.002", "createdAt" : "2026-06-15T07:41:36.002", "lastUpdated" : "2026-06-16T11:43:35.794", "ingestTimestamp" : "2026-06-16T03:21:39.642", "mongoId" : "6a305119f292fd229cefa462", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding strategies", "Custom kernel development", "Software engineering", "Version control", "CI/CD pipelines", "Unit testing", "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization", "Inference optimization", "Performance improvements", "Scalable systems", "Distributed training", "ML systems", "Machine learning fundamentals", "Compute vs. memory trade-offs", "Large-scale deep learning training", "Distributed systems", "Speculative decoding", "MoE models", "Nsight", "PyTorch Profiler" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca59174d8ee00a09b7233", "title" : "Senior Specialist, Procurement Systems and Processes", "company" : "Scout Motors", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC", "Novi", "Michigan", "United States" ], "timestamp" : "2026-06-15T21:51:07.410", "fingerprint" : "742a57b1fbd216a1fd319f71ba7e72dfbced2837a2647cd0a8d3e2c5197c3029", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5163199007", "externalId" : "5163199007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Manage procurement systems, Improve procurement processes, Support procurement operations, Collaborate with cross-functional teams, Manage vendor relationships, Develop and maintain procurement policies, Analyze procurement data, Identify cost-saving opportunities, Ensure compliance with regulations, Support system implementations, Provide training on procurement systems, Manage procurement projects", "teamCollaboration" : "Cross-functional teams; Vendor relationships", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Procurement systems; Procurement processes", "domainList" : [ "procurement-systems", "procurement-processes" ], "domainSpecificKnowledge" : [ "Procurement systems", "Procurement processes" ], "documentationSkills" : "Policy documentation; Process documentation", "problemSolvingSkills" : "Process improvement", "outcomesObjectives" : "Improve procurement efficiency; Reduce procurement costs; Ensure procurement compliance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do The Procurement Systems and Processes Senior Specialist is responsible for the effective use, optimization, and support of Procurement IT systems that underpin procurement operations. This role serves as the main point of contact between the Procurement department and IT teams, ensuring that procurement processes are fully supported by technology and that system users are trained to maximize efficiency. The Senior Specailst plays a crucial role in implementing system improvements, troubleshooting issues, and acting as a liaison during system updates or changes. Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Act as the subject matter expert (SME) for procurement IT systems, including ERP (e.g., SAP), eProcurement tools, and other digital platforms used in procurement processes. System Rollout, Maintenance & Optimization: Lead rollout and launch of Scout’s Procurement systems, working cross-functionally with Scout IT and Global Procurement colleagues. Establish system rollout schedule, budget, and define the necessary resources to meet requirements Ensure the smooth functioning of procurement systems by collaborating with IT to resolve any technical issues. Suggest and implement system improvements or new features to enhance procurement efficiency. Monitor system performance and coordinate upgrades or updates. User Support & Training: Provide first-level support to procurement team members and other system users for system-related issues or queries. Develop and deliver user training programs, documentation, and system and process manuals. Ensure that end-users are proficient in using procurement systems and follow best practices. Data Management & Reporting: Ensure data accuracy and integrity within procurement systems, including vendor information, purchase orders, contracts, and more. Generate and analyze reports from procurement systems to support decision-making and process improvements. Collaborate with procurement management to refine reporting tools and metrics. Process Improvement: Identify opportunities for process improvements within procurement workflows, ensuring alignment with system capabilities. Collaborate with cross-functional teams to streamline procurement operations and increase efficiency. Lead or participate in projects to implement new procurement tools or functionalities. Stakeholder Liaison: Act as a bridge between procurement, IT, and other departments to ensure system requirements are met and issues are communicated effectively. Participate in meetings with IT teams and external system vendors to discuss system needs, updates, and performance. Location & Travel Expectations: This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC or Novi, Michigan. This role requires 5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: Domestic and international travel required, approximately 10 % of the time. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: A Bachelor’s degree in in Supply Chain Management, Information Systems, Business Administration, or a related field is preferred 8+ years of experience in a manufacturing or automotive environment, preferably in a Project Management, IT Project Management or similar function Strong knowledge of procurement processes and systems (e.g., ERP systems, eProcurement) and prior experience in a procurement or IT support role Experience with SAP, Ivalua, Oracle, AI Tools is preferred Strong problem-solving skills and ability to troubleshoot system issues Excellent communication skills and ability to train and support end-users Ability to work cross-functionally and manage multiple stakeholders Analytical mindset with experience in generating and interpreting procurement reports Personal Qualities & Abilities High integrity and professionalism Able to effectively collaborate in a team setting with other functions/departments Business and performance driven Ability to adapt in an ambiguous and fact-paced environment Strong planning and analytical skills Strategic thinking & understanding Positive mindset Proactivity and the ability to work across multiple workstreams A passion for creating something new       Ability to find creative solutions to complex problems Ability to communicate effectively across all levels of an organization What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $110,000.00 - $135,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Senior Specialist, Procurement Systems and Processes at Scout Motors. Manage procurement systems. Improve procurement processes", "postedDate" : "2026-06-14T20:09:33.408", "createdAt" : "2026-06-14T20:09:33.408", "lastUpdated" : "2026-06-15T21:51:07.410", "ingestTimestamp" : "2026-06-14T20:09:33.408", "mongoId" : "6a2ca59174d8ee00a09b7233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Project management", "Procurement systems", "Procurement processes" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306723f292fd229cfb99ec", "title" : "Social Worker - Preparing for Adulthood", "company" : "Liquid Personnel", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-level Social Worker in the Healthcare industry in Bury, United Kingdom, adjusted for seniority and company size." }, "location" : "57 Spring Gardens, Manchester, M2 2BY", "locations" : [ "57 Spring Gardens", "Manchester", "M2 2BY" ], "certifications" : [ "Social Work England registration" ], "timestamp" : "2026-06-16T09:25:22.912", "fingerprint" : "4c800dba866942be0c2e89deae7728c33cc5248188a1665b087a31a5d25cf079", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/liquidpersonnel/jobs/7771832003", "externalId" : "7771832003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bury", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2460367,0.7125173" } ], "locationText" : "Bury, United Kingdom", "employmentType" : "CONTRACT", "minimumEducation" : "Degree level or equivalent in Social Work", "professionalSkills" : [ "Transitions planning", "Care Act assessments", "Strengths-based support plans" ], "majorSkills" : "Social work, Transition planning, Needs assessment", "majorSkillsList" : [ "Social work", "Transition planning", "Needs assessment" ], "coreResponsibilities" : "Support transitions planning, Develop person-centred transition plans, Promote independence and wellbeing, Complete Care Act assessments, Assess eligible needs, Create strengths-based support plans, Coordinate adult services, Collaborate with education teams, Collaborate with health teams, Collaborate with SEND teams, Collaborate with families", "teamCollaboration" : "Multi-agency coordination; Education, health, SEND teams; Families", "domainKnowledge" : "Preparing for Adulthood", "domainList" : [ "preparing-for-adulthood" ], "domainSpecificKnowledge" : [ "Preparing for Adulthood" ], "continuousLearning" : "CPD portal access", "specialRequirements" : "Full UK driving licence", "outcomesObjectives" : "Promote independence; Promote wellbeing; Achieve long-term outcomes; Ensure smooth transitions; Ensure consistent support", "qualificationsBasic" : "Social Work England registration, Eligible to work in the UK, Hold a full UK driving licence, Post-qualified experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Liquid Personnel is recruiting a Social Worker for the Preparing for Adulthood Team for its client in Bury. What will your responsibilities be? Supporting transitions planning - working with young people (14–25) to develop person‑centred transition plans that promote independence, wellbeing and long‑term outcomes. Completing Care Act assessments - assessing eligible needs as young people move into adulthood, creating strengths‑based support plans and coordinating appropriate adult services. Multi‑agency coordination - collaborating with education, health, SEND teams and families to ensure smooth transitions and consistent support across children’s and adults’ services. Benefits: Initial 3-month contract with immediate start Hybrid Work Supervision and Training Qualifications & Experience: To be successful in this role you must have, Social Work England registration Eligible to work in the UK Hold a full UK driving licence Post-qualified experience Degree level or equivalent in Social Work Why Liquid Personnel? Free DBS and compliance service Twice weekly payroll and ‘Faster Pay’ service, getting you paid more quickly Access to exclusive roles that aren’t available from other agencies Free access to Liquid’s exclusive social work training and CPD portal Your own dedicated consultant with extensive social work knowledge Access to a wide selection of social work positions across the UK “Refer a Friend” bonus – get £500 for each social worker you refer who we successfully place* “Find your own job” bonus – get £250 for bringing your own position to us * Liquid Personnel is an equal opportunities employer. Liquid Personnel Ltd is acting as an Employment Business in relation to this vacancy. * Terms and conditions apply to our bonus schemes. Reasonable Adjustments: If you consider yourself to have a disability or require any reasonable adjustment during the recruitment process or within the workplace, please highlight this at the earliest opportunity by contacting our team. With this information, we will provide appropriate support to you throughout the process and into your work placement. We are unable to support or accept applications from candidates who are residents within the Red or Amber list of the Code of practice for the international recruitment of health and social care personnel in England, based on the World Health Organisation (WHO) Workforce Support and Safeguard List. BH - 199896 GH - 35209", "summaryDescription" : "Social Worker - Preparing for Adulthood at Liquid Personnel. Skills: Social work, Transition planning, Needs assessment. Support transitions planning. Develop person-centred transition plans", "postedDate" : "2026-06-15T23:26:03.349", "createdAt" : "2026-06-15T23:26:03.349", "lastUpdated" : "2026-06-16T09:25:22.912", "ingestTimestamp" : "2026-06-15T23:26:03.349", "mongoId" : "6a306723f292fd229cfb99ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Social work", "Transition planning", "Needs assessment", "Transitions planning", "Care Act assessments", "Strengths-based support plans", "Preparing for Adulthood", "Social Work England registration" ], "skillCount" : 8, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69f2d9ba4c40e2acd18900ae", "title" : "Senior Materials and Processes Engineer", "company" : "ERC", "industry" : "Government", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Materials and Processes Engineer in Houston, adjusted for the aerospace industry and senior experience level." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "timestamp" : "2026-06-15T08:00:28.785", "fingerprint" : "5f7d4c27267b47c1506a0ad192d8990c2d5b292c2a56ce522116f90eca9567d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324737", "externalId" : "324737", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Materials selection, Process control, Corrosion prevention, Electrical bonding, Flammability, Toxic offgassing, Heat treatment, Adhesive bonding, Contamination control", "professionalSkills" : [ "Requirements verification", "Hazard reviews", "Anomaly resolution", "Re-flight assessments", "Flight acceptance testing" ], "hardSkillsList" : [ "Materials engineering", "Process engineering", "Failure analysis" ], "softSkillsList" : [ "Critical thinking", "Problem-solving" ], "hardSkills" : [ { "name" : "Materials engineering", "level" : "intermediate" }, { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Problem-solving" } ], "majorSkills" : "Materials and Processes, Space applications, Hardware design", "majorSkillsList" : [ "Materials and Processes", "Space applications", "Hardware design" ], "coreResponsibilities" : "Advise on requirements for M&P, Provide consultation on M&P requirements, Assist in review of hardware, Assist in development of hardware, Assist in review of analysis, Assist in development of analysis, Assist in review of operations, Assist in development of operations, Assist in review of hazard reviews, Assist in development of hazard reviews, Assist in review of anomaly resolution, Assist in development of anomaly resolution, Assist in review of requirements verification, Assist in development of requirements verification, Assist in review of re-flight assessments, Assist in development of re-flight assessments, Assist in review of flight acceptance testing, Assist in development of flight acceptance testing, Formulate presentations, Present to program boards, Implement M&P system requirements, Develop verification plans, Develop validation plans, Provide input to specifications, Ensure materials requirements incorporated, Review project documentation, Review specifications, Review engineering drawings, Assess vendor processes, Define process changes, Provide vendors recommendations, Provide inspection support, Provide manufacturing process support", "teamCollaboration" : "Coordinate across disciplines; Work collaboratively independently", "domainKnowledge" : "Space applications; IVA environments; EVA environments; Propulsion systems; Crew compartments; Life support systems; Thermal systems; Electronic systems; Human space flight", "domainList" : [ "space-applications", "iva-environments", "eva-environments", "propulsion-systems", "crew-compartments", "life-support-systems", "thermal-systems", "electronic-systems", "human-space-flight" ], "domainSpecificKnowledge" : [ "Space applications", "IVA environments", "EVA environments", "Propulsion systems", "Crew compartments", "Life support systems", "Thermal systems", "Electronic systems", "Human space flight" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Process specification", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "Proof of U.S. Citizenship, US Permanent Residency, Background investigation, Office environment, Inside work, Outside work, Sitting extended periods, Standing extended periods, Lifting up to 25 lbs, Standard office equipment, Regular attendance, Work outside normal schedule, Professional behavior, Appropriate grooming, Appropriate dress", "qualificationsBasic" : "Bachelor's degree in Engineering, 7+ years related work experience, Knowledge in materials and processes, Familiar with materials specifications, Knowledge in engineering drawing review", "qualificationsPreferred" : "M.S. or Ph.D. in Engineering, 10+ years related work experience, Previous experience in material selection, Previous experience directing technical team, Previous experience with human space flight", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you!      We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Senior Materials and Processes Engineer to join the JETSII Contract with ERC, a teammate company. The Senior Materials and Processes Engineer will: Advise, guide, and provide consultation on requirements for Materials & Processes (M&P) for intravehicular (IVA) and extravehicular (EVA) environments, including materials selection,process control and qualification, design for corrosion prevention, electrical bonding, flammability, toxic offgassing, and processes specification. Assist in review and development of hardware, analysis, operation, hazard reviews, anomaly resolution, requirements verification, re-flight assessments, and flight acceptance testing. Formulate presentations and present to program boards as appropriate. Implement M&P system requirements into hardware design and develop verification and validation plans and statements. Provide input to program/project specifications and ensure appropriate materials requirements are incorporated into all program/project specifications at the right level. Review project/program documentation, specifications, and engineering drawings to ensure M&P requirements are met for spaceflight hardware. Assess whether standard vendor processes meet requirements, and if not, clearly define changes that need to be implemented. Provide vendors with recommendations for qualification and acceptance testing that will properly satisfy verification of requirements. Provide inspection and manufacturing process support for human space flight system. Other duties as required. Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor’s degree in Engineering and may be expected to have a related master's degree and normally possess 10-15 years of related experience. Bachelor's degree or higher in Engineering (Metallurgy, Materials Science, Aerospace, Mechanical, Electrical, Chemical, Systems). 7 or more years of related work experience in Materials and Processes. Knowledge in materials and processes for space applications, including materials selection (metallics and nonmetallics), design for corrosion prevention and electrical bonding, failure analysis, heat treatment, adhesive bonding, contamination control, etc. Familiar with metallic and nonmetallic materials specifications, properties, testing. Knowledge in engineering drawing review for materials and processes. Overall background on M&P working knowledge for different systems: propulsion, crew compartments, environmental life support systems, thermal, and electronic systems. Effective written and verbal communication skills with the ability to critically assess manufacturing/material processes and designs. Willingness to learn and coordinate across other disciplines is highly desired. Ability to assess and prioritize tasks and identify potential technical risks. Ability to work collaboratively and independently in a multidisciplinary field. Strong analytical and problem-solving skills. Requisition Preferences: M.S. or Ph.D. in Engineering. 10 or more years of related Materials and Processes work experience for spacecraft. Previous experience in material selection (metallics and nonmetallics) for electrical components, corrosion prevention, flammability prevention, oxygen compatibility, processes qualification, contamination control, development, test, and evaluation for NASA and/or aerospace projects. Previous experience in directing, guiding, and coordinating a technical team is highly desirable. Previous experience with human space flight system engineering and integration practices. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Senior Materials and Processes Engineer at ERC. Skills: Materials and Processes, Space applications, Hardware design. Advise on requirements for M&P. Provide consultation on M&P requirements", "createdAt" : "2026-06-14T02:00:26.907", "lastUpdated" : "2026-06-15T08:00:28.785", "ingestTimestamp" : "2026-06-14T02:00:26.907", "mongoId" : "69f2d9ba4c40e2acd18900ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Materials engineering", "Process engineering", "Failure analysis", "Critical thinking", "Problem-solving", "Materials and Processes", "Space applications", "Hardware design", "Requirements verification", "Hazard reviews", "Anomaly resolution", "Re-flight assessments", "Flight acceptance testing", "IVA environments", "EVA environments", "Propulsion systems", "Crew compartments", "Life support systems", "Thermal systems", "Electronic systems", "Human space flight" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f7374d8ee00a08ec140", "title" : "Auto Paint Assistant", "company" : "ADESA", "industry" : "Automotive", "salary" : { "min" : 16.0, "max" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Eugene, Oregon, United States", "locations" : [ "Eugene", "Oregon", "United States" ], "timestamp" : "2026-06-15T00:15:41.460", "fingerprint" : "57373066eb7bb69f2fc0a7366070ef381d29fb77ce33093d7c91f5108016f170", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://carvana.com/careers/apply?company=adesa&&gh_jid=7960979", "externalId" : "7960979", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Eugene", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.0505054,-123.0950506" } ], "locationText" : "Eugene, Oregon, United States", "minimumEducation" : "High School", "softSkillsList" : [ "Interpersonal skills" ], "softSkills" : [ { "name" : "Interpersonal skills" } ], "coreResponsibilities" : "Manage complaints or incidents, Maintain productivity levels, Maintain equipment and tools properly, Advise manager of needed equipment maintenance, Follow and maintain all safety standards", "teamCollaboration" : "High production/team environment", "domainKnowledge" : "Body shop operations; Paint operations", "domainList" : [ "body-shop-operations", "paint-operations" ], "domainSpecificKnowledge" : [ "Body shop operations", "Paint operations" ], "toolProficiency" : [ "Electric sanders", "Drills", "Buffers", "Air blowers" ], "continuousLearning" : "Education and Equipment Reimbursement Programs", "specialRequirements" : "Medium to Heavy Physical Work, Constant reaching, standing, walking, grasping, feeling, hearing, stooping, kneeling, crouching, pushing, pulling, lifting, Repetitive motion, Potential running, jumping, yelling or other rapid or forceful movement in emergency situations, Visual acuity requirements, Inside and outside environmental working conditions, Temperature changes, Outside weather conditions, Elevated ambient noise levels, Minor atmospheric conditions affecting skin or respiratory systems, Fumes, odors and dusts, Pass a complete background check, Not eligible for visa sponsorship", "qualificationsBasic" : "High School or GED required, Must be 18 years of age, Valid driver’s license, Driving record meets company requirements", "qualificationsPreferred" : "Previous experience in a body shop preferred, 1 year automotive/auction experience preferred, May be required to provide sufficient tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Pay Range: $16-$18 hourly About Us ADESA, is a Carvana owned company, currently operating over 50 locations throughout the US. Our Auto Auctions, some up to 200 acres, provide a wide array of vehicle services including repair advise management of all complaints or incidents Maintain productivity levels as set forth by management. Maintain equipment and tools properly and advise manager of any needed equipment maintenance or breakdown Follow and maintain all safety standards Other duties as assigned Skills and Attributes High attention to detail Interpersonal skills Willingness to work in a high production/team environment Ability to use tools such as electric sanders, drills, buffers and air blowers Qualifications High School or GED required Previous experience in a body shop preferred 1 year automotive/auction experience preferred Must be 18 years of age with a valid driver’s license and driving record that meets company requirements May be required to provide sufficient tools to perform the job ADESA Benefits and Perks Competitive Pay | Quality Benefits | Holiday and Paid Time Off | Education and Equipment Reimbursement Programs | Matching 401(k) | Career Path Opportunities | And More! Other Requirements To be able to do your job at ADESA, there are some basic requirements we want to share with you. Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. The physical activity requirements of the position range from Medium to Heavy Physical Work. Constant - reaching, standing, walking, grasping, feeling, hearing, stooping, kneeling, crouching, pushing, pulling, lifting. repetitive motion Potential – running, jumping, yelling or other rapid or forceful movement in emergency situations Visual acuity requirements include color, depth perception and field of vision comparable to definitions for Clerical, Administrative, Machine Operators (including inspection) positions. Physical Working Conditions: This position is subject to both inside and outside environmental working conditions, including temperature changes, outside weather conditions, slightly elevated ambient noise levels, and minor atmospheric conditions affecting skin or respiratory systems, such as fumes, odors and dusts associated with body shop and paint operations. Legal Stuff Hiring is contingent on passing a complete background check. This role is not eligible for visa sponsorship. ADESA is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. ADESA also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.", "summaryDescription" : "Auto Paint Assistant at ADESA. Manage complaints or incidents. Maintain productivity levels", "postedDate" : "2026-06-12T22:08:19.398", "createdAt" : "2026-06-12T22:08:19.398", "lastUpdated" : "2026-06-15T00:15:41.460", "ingestTimestamp" : "2026-06-12T22:08:19.398", "mongoId" : "6a2c5f7374d8ee00a08ec140", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 33280, "salaryAnnualMax" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Interpersonal skills", "Body shop operations", "Paint operations", "Electric sanders", "Drills", "Buffers", "Air blowers" ], "skillCount" : 7, "jobCategory" : "other", "jobSubcategory" : "body-shop", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive" }, { "id" : "6a2c94e974d8ee00a098be1a", "title" : "Senior Engineer — Data Ingestion & Preparation (CSL)", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Engineer — Data Ingestion & Preparation in Madrid, Spain, adjusted for the FinTech industry and company size." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-15T08:14:33.850", "fingerprint" : "f7b4e64a02470b5cc1812721d8f0065ad3a64d54dc4d5773ef19128c1e7d17a0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4862879101", "externalId" : "4862879101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Databricks, Apache Spark, Azure Data Factory, SQL, ETL, ELT, Data Lake, Lakehouse, APIs, SFTP2B, CI/CD, Azure DevOps", "professionalSkills" : [ "Problem solver", "Autonomous execution" ], "hardSkillsList" : [ "Data ingestion", "Data preparation", "Data transformation", "Business rules", "Data mappings", "Data quality standards", "Dependency resolution" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Business rules", "level" : "intermediate" }, { "name" : "Data mappings", "level" : "intermediate" }, { "name" : "Data quality standards", "level" : "intermediate" }, { "name" : "Dependency resolution", "level" : "intermediate" } ], "majorSkills" : "Data Ingestion, Data Preparation, ETL/ELT, Data Lakehouse", "majorSkillsList" : [ "Data Ingestion", "Data Preparation", "ETL/ELT", "Data Lakehouse" ], "coreResponsibilities" : "Implement data ingestion processes, Operate data ingestion processes, Stabilize data ingestion processes, Structure data, Prepare data for publication, Design data ingestion pipelines, Implement data ingestion pipelines, Operate data ingestion pipelines, Prepare datasets, Transform datasets, Apply business transformation rules, Identify ingestion issues, Troubleshoot ingestion issues, Resolve ingestion issues, Ensure data quality standards, Document pipelines, Document transformations, Document data sources, Support dependency resolution, Map technical dependencies", "teamCollaboration" : "External provider; Local teams; Technical teams; Functional teams", "domainKnowledge" : "Common Semantic Layer; Semantic data dictionary; OneGMR; Churn; Financial data; Transactional data", "domainList" : [ "common-semantic-layer", "semantic-data-dictionary", "onegmr", "churn", "financial-data", "transactional-data" ], "domainSpecificKnowledge" : [ "Common Semantic Layer", "Semantic data dictionary", "OneGMR", "Churn", "Financial data", "Transactional data" ], "toolProficiency" : [ "Databricks", "Apache Spark", "Azure Data Factory", "Azure DevOps" ], "communicationSkills" : "Effective communication", "documentationSkills" : "Document pipelines; Document transformations; Document data sources", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Proactive problem solver", "specialRequirements" : "60% on site", "qualificationsBasic" : "Hands-on experience Databricks, Hands-on experience Spark, Hands-on experience Azure Data Factory, Advanced SQL, Experience data ingestion processes, Knowledge Data Lake architectures, Knowledge Lakehouse architectures, Experience integrating APIs, Experience file-based ingestion, Experience third-party systems, Basic knowledge CI/CD, Basic knowledge version control", "qualificationsPreferred" : "Experience multi-country environments, Experience multi-source environments, Understanding data modeling, Understanding semantic layers, Experience financial data, Experience transactional data, Familiarity Databricks, Familiarity Purview, Familiarity similar tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. Act in a hands-on capacity to implement, operate, and stabilize data ingestion and preparation processes, ensuring data is properly structured and ready for publication in the Common Semantic Layer (CSL), in alignment with the semantic data dictionary defined by the external provider \uD83D\uDCCC What you'll do Role Mission Design, implement, and operate data ingestion pipelines (batch and/or streaming) from multiple sources (e.g., SEP, NUEK, fraud systems, webservices) Ensure data availability in the Stage layer as a faithful replica of source systems Prepare and transform datasets into Common and Refined layers, following CSL standards Apply business transformation rules aligned with data mappings (e.g., OneGMR, Churn) Work closely with the external provider to ensure adherence to the semantic data dictionary and mapping requirements Identify, troubleshoot, and resolve ingestion issues (failures, delays, inconsistencies) Ensure minimum data quality standards (completeness, consistency, standardization) Document pipelines, transformations, and data sources Support dependency resolution with local teams and external providers Map technical dependencies across pipelines, sources, and deliverables \uD83D\uDCCCTechnical Skills Hands-on experience with: Databricks / Apache Spark Azure Data Factory (or similar ETL/ELT tools) Advanced SQL Experience with data ingestion processes (ETL/ELT) Knowledge of Data Lake / Lakehouse architectures Experience integrating APIs, file-based ingestion (SFTP/B2B), and third-party systems Basic knowledge of CI/CD and version control (Azure DevOps or similar) \uD83D\uDCCCNice to Have Experience in multi-country / multi-source environments Understanding of data modeling and semantic layers Experience with financial / transactional data Familiarity with tools such as Databricks, Purview, or similar \uD83D\uDCCCProfile Strong hands-on mindset Proactive problem solver Autonomous execution capability Effective communication with technical and functional teams \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83E\uDDB7 Dental insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCB0 Profit sharing program \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Senior Engineer — Data Ingestion & Preparation (CSL) at Getnet. Skills: Data Ingestion, Data Preparation, ETL/ELT, Data Lakehouse. Implement data ingestion processes. Operate data ingestion processes", "postedDate" : "2026-06-13T20:57:02.473", "createdAt" : "2026-06-13T20:57:02.473", "lastUpdated" : "2026-06-15T08:14:33.850", "ingestTimestamp" : "2026-06-13T20:57:02.473", "mongoId" : "6a2c94e974d8ee00a098be1a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data preparation", "Data transformation", "Business rules", "Data mappings", "Data quality standards", "Dependency resolution", "Data Ingestion", "Data Preparation", "ETL/ELT", "Data Lakehouse", "Problem solver", "Autonomous execution", "Common Semantic Layer", "Semantic data dictionary", "OneGMR", "Churn", "Financial data", "Transactional data", "Databricks", "Apache Spark", "Azure Data Factory", "Azure DevOps" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a16291c58b93c861e95a0d0", "title" : "Specification Specialist II", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Specification Specialist in Boston, adjusted for the construction industry and full-time employment." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T10:20:45.281", "fingerprint" : "46ae4dc55971d9cfc6b3d0bbaef42de58d453dd8d3d3508ced8f5d7d42b8512b", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=739909", "externalId" : "739909", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Material recommendation", "Procedure recommendation", "Specification requirements" ], "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Technical specifications", "domainList" : [ "technical-specifications" ], "domainSpecificKnowledge" : [ "Technical specifications" ], "qualificationsBasic" : "Bachelor's degree in Architecture, 5 years experience, Knowledge to recommend materials, Knowledge of procedures, Knowledge of technical specifications, Experience with Microsoft Office, Commitment to employee-owned culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in Architecture, Engineering or combination of education and relevant experience A minimum of 5 years experience working with specifications Knowledge in the ability to recommend materials, procedures, and technical specifications requirements and contents Experience with Microsoft Office An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Massachusetts-Boston", "summaryDescription" : "Specification Specialist II", "createdAt" : "2026-06-14T08:41:01.987", "lastUpdated" : "2026-06-15T10:20:45.281", "ingestTimestamp" : "2026-06-14T08:41:01.987", "mongoId" : "6a16291c58b93c861e95a0d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Material recommendation", "Procedure recommendation", "Specification requirements", "Technical specifications" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.85 }, { "id" : "69fda4e44c40e2acd1b998e1", "title" : "Factory Product Quality Engineer", "company" : "Amazon Corporate Services Vietnam Company Limited", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 7.5E8, "max" : 1.2E9, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Factory Product Quality Engineer in Hanoi, Vietnam, adjusted for Amazon's company size and the technology industry." }, "location" : "Hanoi, VNM", "locations" : [ "Hanoi, VNM" ], "certifications" : [ "Six Sigma Green Belt", "Six Sigma Black Belt", "Certified Auditor", "ISO 9001", "TL 9000" ], "timestamp" : "2026-06-15T07:37:42.389", "fingerprint" : "a6e9cb0321be6a20586c67dd3f8f8966da88162516fb67d4f7b258acd3a95934", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413116/apply", "externalId" : "2618e056-d486-4bcd-b62f-743514fe6867", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hanoi", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "21.0283334,105.8540410" } ], "locationText" : "Hanoi, Vietnam", "employmentType" : "FULL_TIME", "technicalSkills" : "Quality Management System, Statistical Quality Control, PFMEA, Quality Control Plans, Test Metrology, Corrective Actions, Supplier Quality Management, Data Analysis, Process Improvement, Automation", "professionalSkills" : [ "Issue Management", "Root Cause Analysis", "Corrective Actions", "Preventive Actions", "Supplier Engagement", "Process Improvement", "Best Practices" ], "hardSkillsList" : [ "Measurement System Analysis", "Process Quality Control", "Statistical Data Analysis", "7QC Tools", "Statistical Process Control", "Yield Definitions", "Yield Calculations", "First Pass Yield", "Real Pass Yield", "Run-in Tests" ], "hardSkills" : [ { "name" : "Measurement System Analysis", "level" : "intermediate" }, { "name" : "Process Quality Control", "level" : "intermediate" }, { "name" : "Statistical Data Analysis", "level" : "intermediate" }, { "name" : "7QC Tools", "level" : "intermediate" }, { "name" : "Statistical Process Control", "level" : "intermediate" }, { "name" : "Yield Definitions", "level" : "intermediate" }, { "name" : "Yield Calculations", "level" : "intermediate" }, { "name" : "First Pass Yield", "level" : "intermediate" }, { "name" : "Real Pass Yield", "level" : "intermediate" }, { "name" : "Run-in Tests", "level" : "intermediate" } ], "majorSkills" : "NPI Quality, Sustaining Quality, Root Cause Analysis, CAPA", "majorSkillsList" : [ "NPI Quality", "Sustaining Quality", "Root Cause Analysis", "CAPA" ], "coreResponsibilities" : "Lead production quality processes management, Collaborate with cross-functional teams, Ensure pFMEA management, Ensure process flows management, Ensure quality control plans management, Contribute to product quality criteria, Determine product meets expectations, Develop quality plans, Control quality plans, Deliver quality plans, Develop manufacturing documentation, Develop inspection documentation, Develop test metrology, Perform root cause analyses, Lead root cause analyses, Develop corrective actions, Develop preventive actions, Drive factory escape containment, Support field failure analysis, Support corrective actions, Facilitate CM audits, Ensure corrective actions implemented, Review non-conforming materials, Disposition non-conforming materials, Drive corrective actions for non-conforming materials, Contribute to final product release, Monitor supplier quality performance, Drive supplier quality improvements, Drive quality metrics reporting, Drive quality metrics communication, Drive issue resolution, Track issue progress, Track task progress, Manage changes through PLM system, Review CM improvements, Identify quality process improvements, Implement quality process improvements, Identify best practices, Implement best practices, Identify automation opportunities, Implement automation opportunities", "teamCollaboration" : "Cross-functional teams; Project team members; Contract Manufacturer DRIs", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Consumer electronics manufacturing; Networking hardware manufacturing; NPI processes; Sustaining quality operations; Industry standards; QMS; ESD control; Surface Mount Technology; Put Through Hole; Final Assembly Test Pack; Assembly; Reliability Engineering; Reliability Testing; Reliability Waterfall; ESD requirements; ESD testing; Ongoing Reliability Testing", "domainList" : [ "consumer-electronics-manufacturing", "networking-hardware-manufacturing", "npi-processes", "sustaining-quality-operations", "industry-standards", "qms", "esd-control", "surface-mount-technology", "put-through-hole", "final-assembly-test-pack", "assembly", "reliability-engineering", "reliability-testing", "reliability-waterfall", "esd-requirements", "esd-testing", "ongoing-reliability-testing" ], "domainSpecificKnowledge" : [ "Consumer electronics manufacturing", "Networking hardware manufacturing", "NPI processes", "Sustaining quality operations", "Industry standards", "QMS", "ESD control", "Surface Mount Technology", "Put Through Hole", "Final Assembly Test Pack", "Assembly", "Reliability Engineering", "Reliability Testing", "Reliability Waterfall", "ESD requirements", "ESD testing", "Ongoing Reliability Testing" ], "toolProficiency" : [ "JIRA", "PLM system", "Arena" ], "communicationSkills" : "English communication; Written communication; Verbal communication; Reporting; Communication", "documentationSkills" : "Manufacturing documentation; Inspection documentation", "innovationCreativity" : "Quality process improvements; Best practices; Automation opportunities", "problemSolvingSkills" : "Problem solving; Root cause analysis; Issue management", "specialRequirements" : "Travel domestically to CM sites", "qualificationsBasic" : "BS degree in Quality/Electrical/Mechanical Engineering, 5+ years experience consumer electronics/networking hardware manufacturing, Proven experience managing NPI processes, Proven experience sustaining quality operations, Familiarity with industry standards (IEC, UL, ISO), Excellent computer skills (Windows/Mac, Word, Excel, PowerPoint, Visio, MS Project, Internet Search), Excellent English communication skills (written and verbal), Demonstrated problem solving skills, Demonstrated root cause analysis skills, Deep understanding of MSA, Deep understanding of Process Quality Control (Cpk, Gage R&R), Deep understanding of statistical data analysis, Deep understanding of 7QC Tools, Knowledge of Statistical Process Control (SPC), Knowledge of Line Stop/Line Start Criteria, Knowledge of Line Audits, Knowledge of Electrostatic Discharge (ESD), Knowledge of Yield Definitions and Calculations (First Pass Yield, Real Pass Yield), Knowledge of Run-in Tests (RIT), Knowledge of rules for No Trouble Found", "qualificationsPreferred" : "Six Sigma Green Belt or Black Belt certification, Certified Auditor (ISO 9001, TL 9000), Advanced Manufacturing expertise (SMT, PTH, FATP, Assembly), Proactive self-starter, Willingness to learn and grow attitude, Effective presentation skills, Effective project management skills, Advanced Reliability Engineering exposure, Advanced Reliability Engineering understanding, Ability to travel domestically to CM sites", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The company: WiFi is the new electricity. Outside the smartphone, it’s the technology we depend on the most. The foundation for the modern home. The basement of Maslow’s pyramid. It makes our favorite experiences -- Netflix, Spotify, FaceTime -- come to life. eero, an Amazon Company, is the first product to deliver a whole home wifi experience using mesh technology to make sure you never have to worry about connectivity ever again. We believe customers deserve the best connectivity and smart home experience possible. But at best, wifi is like death by a thousand cuts: dead zones, painful setup, embarrassing passwords, equipment that’s a major eyesore. At worst, it's a complete failure -- usually right when you need wifi most. eero is fixing all of that. It’s not easy, which is why we’ve built a world-class team and culture. We believe deeply in what we’re doing, and, more importantly, enjoy doing it together. Come join us. Job overview: The Factory PQE is responsible for NPI and sustaining quality at contract manufacturers for products throughout their product lifecycles. The ideal candidate manages several high priority activities from QMS oversight to statistical quality control processes to issue management. This role relies heavily on strong quality assessments within the manufacturing site but also with suppliers, ensuring durable root causes are understood and mitigated. Key job responsibilities What you'll do: • Lead comprehensive management of production quality processes including IQC, IPQC, OBA, and OQC across NPI builds and mass production. • Collaborate with cross-functional teams to ensure pFMEA, process flows, and quality control plans are well managed prior to each NPI build phase. • Contribute to the product quality criteria and determine if the product meets expectations from each build phase. • Work independently and with project team members to develop, control, and deliver quality plans, manufacturing documentation, inspection documentation, and test metrology. • Perform and lead root cause analyses for complex quality issues, developing robust corrective and preventive actions (CAPA and CAR). • Drive factory escape containment and resolution; support field failure analysis and corrective actions to prevent recurrence. • Facilitate Contract Manufacturer (CM) audits focused on QMS, ESD control, and product-specific requirements, ensuring corrective actions are effectively implemented. • Review and disposition non-conforming materials and drive associated corrective actions as required. • Contribute to final product release activities in accordance with established procedures, production schedules and gate exit requirements. • Monitor supplier quality performance and incoming material quality; drive improvements through data analysis and supplier engagement. • Drive quality metrics, reporting, and communication for NPI builds and sustaining programs. • Drive respective teams responsible for issues until a decision or solution is reached. • Track issue and task progress in JIRA and manage changes through a PLM system (e.g., Arena). • Work closely with CM DRIs to review potential improvements to address quality issues and risks. •Identify and implement quality process improvements, best practices, and automation opportunities. Basic Qualifications: - BS degree in Quality/Electrical/Mechanical Engineering - 5+ years of experience in consumer electronics or networking hardware manufacturing - Proven experience in managing NPI processes and sustaining quality operations. - Familiarity with industry standards applicable to consumer electronics (e.g., IEC, UL, ISO). - Excellent computer skills (including, but not limited to: Windows/Mac, Word, Excel, PowerPoint, Visio, MS Project, Internet Search Skills) - Excellent English communication skills, both written and verbal - Demonstrated problem solving and root cause analysis skills - Deep understanding on MSA (Measurement System Analysis), Process Quality Control in using Cpk and Gage R&R, statical data analysis, 7QC Tools - Knowledge of Statistical Process Control (SPC), Line Stop/Line Start Criteria, Line Audits, Electrostatic Discharge (ESD), Yield Definitions and Calculations (including First Pass Yield and Real Pass Yield), Run-in Tests (RIT) and rules used for No Trouble Found. - Developing program specific quality plans including tenets Preferred Qualifications: - Six Sigma Green Belt or Black Belt certification - Certified Auditor (e.g. ISO 9001, TL 9000) - Advanced Manufacturing expertise (Surface Mount Technology (SMT), Put Though Hole (PTH), Final Assembly Test and Pack (FATP) or Assembly). - Proactive self-starter with a willingness to learn and grow attitude - Effective presentation and project management skills - Developing program specific quality plans including tenets. - Advanced Reliability Engineering exposure and understanding including Reliability Testing, Reliability Waterfall, test standards for consumer electronics, understanding of ESD requirements and testing, Ongoing Reliability Testing (ORT). - Ability to travel domestically to CM sites as require. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Factory Product Quality Engineer at Amazon Corporate Services Vietnam Company Limited. Skills: NPI Quality, Sustaining Quality, Root Cause Analysis, CAPA. Lead production quality processes management. Collaborate with cross-functional teams", "postedDate" : "2026-06-13T18:28:41.380", "createdAt" : "2026-06-13T18:28:41.380", "lastUpdated" : "2026-06-15T07:37:42.389", "ingestTimestamp" : "2026-06-13T18:28:41.380", "mongoId" : "69fda4e44c40e2acd1b998e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413116/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Measurement System Analysis", "Process Quality Control", "Statistical Data Analysis", "7QC Tools", "Statistical Process Control", "Yield Definitions", "Yield Calculations", "First Pass Yield", "Real Pass Yield", "Run-in Tests", "NPI Quality", "Sustaining Quality", "Root Cause Analysis", "CAPA", "Issue Management", "Corrective Actions", "Preventive Actions", "Supplier Engagement", "Process Improvement", "Best Practices", "Project management", "Consumer electronics manufacturing", "Networking hardware manufacturing", "NPI processes", "Sustaining quality operations", "Industry standards", "QMS", "ESD control", "Surface Mount Technology", "Put Through Hole", "Final Assembly Test Pack", "Assembly", "Reliability Engineering", "Reliability Testing", "Reliability Waterfall", "ESD requirements", "ESD testing", "Ongoing Reliability Testing", "Six Sigma Green Belt", "Six Sigma Black Belt", "Certified Auditor", "ISO 9001", "TL 9000", "JIRA", "PLM system", "Arena" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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 } ], "status" : 200, "message" : "completes all paint preparation processes for vehicles according to factory specifications jobs", "metadata" : { "title" : "completes all paint preparation processes for vehicles according to factory specifications" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 13137, "totalPages" : 263, "hasNext" : true, "hasPrevious" : false } }

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Factory Operator- (BANDSAW Experience WANTED!!)

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Senior ML Engineer (Token Factory)

Senior ML Engineer (Token Factory)

Senior ML Engineer (Token Factory)

Senior ML Engineer (Token Factory)

Senior ML Engineer (Token Factory)

Senior ML Engineer (Token Factory)

Senior ML Engineer (Token Factory)

Senior ML Engineer (Token Factory)

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