Stellantis

Design and validate vehicle wire harness schematics and electrical systems, including wire and fuse sizing, harness architecture, and CAN network layouts. Optimize designs, assess product plans, support manufacturing facilities and suppliers, and ensure components meet Stellantis electrical specifications throughout the product lifecycle. Responsibilities Design wire harness schematics, including wire and fuse sizing. Develop harness architecture layouts and implement CAN network layouts. Assess product plans and create harness complexity plans. Optimize harness designs through VAVE and value optimization. Design and validate vehicle electrical systems and released components against electrical specifications. Support product lifecycle activities with PWB teams, manufacturing facilities, and supplier engineering teams. Required Skills Wire harness schematic design Wire sizing Fuse sizing Harness architecture layout CAN network design Electrical system design Electrical system validation Automotive electrical specifications Harness design optimization Engineering data management

Join Stellantis' Advanced Connectivity Technologies team to define and assess next-generation wireless architectures for future vehicle platforms. You'll translate stakeholder needs into system requirements and technical specifications, evaluate technologies such as 5G Advanced, 6G, V2X and satellite networks, and collaborate with global teams, standards bodies and industry partners. Responsibilities Define end-to-end architectures for advanced automotive connectivity technologies. Translate product and stakeholder needs into system requirements, technical specifications and interface definitions. Assess architectural trade-offs across vehicle, edge and cloud systems, including cost, performance, scalability and reliability. Evaluate emerging wireless technologies and lead or contribute to feasibility studies and proof-of-concepts. Conduct system-level and link-level simulations and analyze wireless performance under automotive conditions. Monitor standards and collaborate with industry and academic partners on reports, publications and invention disclosures. Required Skills System architecture Wireless communications5 G Advanced6 GNR-V2 XC-V2 XNon-Terrestrial Networks Edge computing MATLABns-3

Stellantis seeks an Assistant Chief Engineer to support vehicle manufacturing programs, focusing on quality, safety, and efficiency in a high-volume plant. You'll coordinate cross-functional engineering teams, assist in designing and validating manufacturing processes, and drive solutions for equipment, tooling, and layout issues. Partner with operations, maintenance, and quality to improve OEE and reduce defects. Support launch of new EV and software-defined vehicle platforms, analyze production data, lead root-cause investigations, and implement continuous improvement, Lean, and Six Sigma initiatives in a fast-paced, global environment. Responsibilities Support chief engineer in leading vehicle and manufacturing engineering programs Coordinate cross-functional teams to deliver quality, safety, and cost targets Assist in design, validation, and optimization of manufacturing processes and tooling Analyze production data to identify trends, bottlenecks, and improvement opportunities Lead or support root-cause analysis and corrective actions for plant issues Drive Lean and Six Sigma initiatives to improve OEE and reduce waste and defects Support new product and EV launches, ensuring process readiness and robustness Collaborate with operations, maintenance, and quality on continuous improvement Prepare engineering documentation, reports, and technical presentations Ensure compliance with safety, regulatory, and Stellantis engineering standards Required Skills Manufacturing process engineering Automotive engineering CAD and engineering design tools Statistical analysis and SPCRoot cause analysis (5-Why, Fishbone) Lean manufacturing methods Six Sigma and continuous improvement Production launch and industrialization Project management Technical documentation and reporting

Coordinate transmission and driveline system integration across components, engineering teams, manufacturing, suppliers and validation groups. Lead design reviews, risk analyses, build readiness, validation tracking, change control and cost-reduction efforts to support prototype and production program milestones. Responsibilities Integrate and balance transmission and driveline hardware systems and component interfaces. Coordinate design reviews with engineering centers, manufacturing, suppliers and validation teams. Lead system DFMEA and DRBFM reviews and ensure design controls and validation actions are defined. Manage bills of material, part complexity charts, prototype procurement and build readiness milestones. Coordinate validation status, experimental builds, fixtures and dynamometer support. Lead change control, lessons learned, technical cost reduction and cross-functional improvement initiatives. Required Skills Transmission system integration Driveline system design Hardware systems engineering Component interface management Design reviews DFMEADRBFMBill of materials management Prototype build readiness Validation planning

Design, develop, and support scalable enterprise applications across frontend, backend, cloud, and data platforms. Build user-facing interfaces, backend APIs, and cloud-native services; integrate data and reporting platforms; and improve application performance, reliability, and observability while collaborating across engineering and business teams. Responsibilities Design, develop, and maintain end-to-end applications, including frontend components, backend APIs, and cloud services. Build responsive, reusable frontend interfaces using modern UI frameworks. Develop backend services and APIs for integrations, business logic, and data access. Architect and manage cloud solutions using AWS services. Integrate applications with Databricks and AWS data platforms for processing, analytics, and reporting. Monitor application health, troubleshoot production issues, and improve reliability and scalability. Required Skills Frontend/UI development Modern UI frameworks Backend API development AWSEC2 S3 Lambda RDSAPI Gateway Databricks

Oversee transmission engineering programs for current production, new product development and advanced projects. Lead cross-functional teams to deliver transmission solutions that meet vehicle requirements, manage technical reviews and program deliverables, and coordinate cost reductions and quality issue resolution. Responsibilities Oversee assigned transmission programs and integration projects, including hardware, software, calibration, packaging, validation and builds. Lead engineering teams in delivering prototype and production transmission solutions that meet vehicle and program requirements. Track and lead resolution of engineering and quality issues, including e CIMS/GIMs and investigation bulletins. Manage program deliverables and objectives for cost, timing, efficiency, performance, mass, NVH and quality metrics. Lead program cost rollups and coordinate technical cost reductions and competitive transmission benchmarking. Lead technical reviews, evaluations, specification sign-offs and engineering development process deliverables. Required Skills Transmission systems engineering Automotive driveline engineering Transmission hardware and software integration Transmission calibration Vehicle packaging Engineering validation and testing Design reviews and technical specifications Program cost estimation Design change management Automotive quality issue resolution

Develops electrical and electronics architecture solutions for vehicle platforms and programs. Applies a holistic understanding of vehicle E/E architecture to create and release specifications that meet program requirements, collaborating with engineering and program stakeholders. Responsibilities Develop electrical and electronics architecture solutions for vehicle platforms and programs. Translate vehicle program requirements into architecture specifications. Release electrical and electronics architecture specifications. Apply holistic knowledge of vehicle electrical and electronic architecture. Coordinate with engineering stakeholders across relevant teams. Collaborate with program stakeholders inside and outside the EE Architecture team. Required Skills Vehicle electrical architecture Vehicle electronics architecture Electrical and electronic systems integration Architecture solution development Vehicle platform requirements analysis Program requirements analysis Engineering specification development Specification release management Automotive systems engineering Cross-functional engineering coordination

Own transmission and driveline application requirements across vehicle programs, coordinating design interfaces, packaging, validation, manufacturing readiness, and regulatory documentation. Partner with Chief Engineers, vehicle teams, suppliers, and assembly plants to ensure product compatibility, resolve issues, and deliver program requirements. Responsibilities Develop application matrices and interface requirements for transmission and driveline products across vehicle variants and platforms. Coordinate packaging studies, adaptation designs, and requirement negotiations with vehicle platform teams. Maintain technical specifications and track vehicle- and system-level functional objectives. Lead virtual duty cycle analysis, build readiness activities, and design or assembly change management. Coordinate application-specific variants, controls and calibration strategies, and assembly plant support. Manage supplier layered audits, benchmarking, regulatory documents, and owner's manual and compliance updates. Required Skills Transmission and driveline application engineering Application matrix development Vehicle packaging and clearance analysis Transmission technical specifications Torque, NVH, fuel economy, and gear ratio analysis Virtual duty cycle analysis Vehicle and system functional objective tracking Controls and calibration strategy coordination Manufacturing process and control plan auditing Engineering change and configuration management

Develop and optimize embedded software and firmware for automotive MCUs and SoCs. Integrate RTOS and Linux/QNX BSPs, enable platform interfaces, implement vehicle communication protocols, and test software against performance, reliability, and automotive safety requirements. Responsibilities Design, implement, and maintain software modules and drivers for automotive MCUs and So Cs. Develop embedded firmware, including startup code, peripheral drivers, and hardware abstraction layers. Integrate RTOS platforms such as Free RTOS or Zephyr and support real-time scheduling. Port and customize Linux/QNX board support packages and Android guest operating systems. Enable display, audio, camera, and serial interfaces; profile and optimize system performance. Implement CAN, LIN, and Ethernet communications; integrate, test, document, and validate software for automotive standards. Required Skills Embedded C/C++Automotive MCU and So C software Firmware development Peripheral drivers Hardware abstraction layers Free RTOSZephyr Linux/QNX BSP porting Android guest OS enablement CAN, LIN, and Ethernet protocols

Plan, implement, and maintain the Atlassian Jira platform and related plugins supporting global software development teams. Configure Jira workflows and integrations, develop automations and scripts, and help improve development processes and tool adoption across the organization. Responsibilities Deploy and support the Atlassian Jira platform for global software development teams. Collaborate with stakeholders to define strategies and deliver software process solutions. Configure and administer Jira projects, workflows, issue types, fields, permissions, and notifications. Support integrations between Jira and Confluence, Git Hub, CI/CD, and IBM lifecycle management tools. Develop and maintain Jira automations, scripts, and REST API integrations. Provide end-user training and support, and promote Agile practices and tool adoption. Required Skills Atlassian Jira administration Jira workflow configuration Jira project configuration Jira Automation Script Runner Groovy REST APIs Atlassian Confluence integration Git Hub integration CI/CD tools

Develop basic software components for electronic, core, and powertrain control modules. Analyze software requirements, create designs and test plans, write C/C++ and assembly code, and test software using virtualization methods. Collaborate with controls, calibration, systems engineering, and vendor teams. Responsibilities Analyze and elicit software requirements for base software components. Design software for electronic, core, and powertrain control modules. Write base software code using C, C++, and assembly. Create software design documents and test plans. Test base software and apply virtualization methods throughout the development lifecycle. Review and inspect requirements and coordinate with vendors and cross-functional engineering teams. Required Skills Embedded software development Base software development Software requirements analysis Software design C programming C++ programming Assembly programming Software testing Test plan development Virtualization methods

Stellantis seeks a Technology Manager to lead Data Science & AI initiatives within its Automotive Vehicles/Parts/Service organization. This role oversees teams building analytics and machine learning solutions that power connected vehicles, intelligent manufacturing, and customer experiences. You will define AI strategy and roadmaps, manage cloud-based data and ML platforms, and ensure reliable deployment and monitoring of models in production. Partnering closely with engineering and business leaders, you'll prioritize high-value use cases while fostering an inclusive, innovative culture aligned with Stellantis' sustainable mobility vision. Responsibilities Lead the Data Science & AI team delivering solutions for connected vehicles, manufacturing, and customer experience. Define AI and data strategy, architecture, and roadmaps aligned with Stellantis' mobility vision. Oversee design, deployment, and monitoring of ML models and data products in production. Partner with engineering, product, and business leaders to prioritize high impact analytics initiatives. Establish best practices for data governance, MLOps, and model performance. Manage budgets, vendors, and tools for AI platforms and data infrastructure. Mentor and grow a high performing, inclusive technical team. Report on KPIs and communicate insights to senior leadership. Required Skills Machine learning engineering Data engineering (ETL, pipelines) Cloud platforms (AWS, Azure, or GCP) Python and SQLMLOps and model lifecycle management Big data technologies (Spark, Kafka, Databricks) Automotive/Io T data analytics Data architecture and governance People and project management Agile methodologies

Stellantis seeks an Application Security Analyst to secure innovative automotive and mobility applications in our IT & Cybersecurity organization. You will assess web, mobile, cloud, and embedded systems, perform threat modeling and code reviews, and integrate security into the SDLC. Partnering closely with engineering teams, you'll guide remediation, shape secure design, and support DevSecOps automation. Stellantis offers a collaborative, inclusive culture focused on innovation, sustainability, and growth, giving you the opportunity to help protect next generation connected vehicles and mobility services. Responsibilities Analyze automotive and enterprise applications for security vulnerabilities across web, mobile, cloud, and embedded platforms Embed security controls into the SDLC, partnering with developers and architects to design secure solutions Perform threat modeling, code review, and security testing using SAST/DAST and manual techniques Prioritize, report, and track remediation of vulnerabilities, providing clear guidance to engineering teams Contribute to security standards, tooling, Dev Sec Ops automation, and awareness across Stellantis IT & Cybersecurity Required Skills Application security testing Secure SDLC practices Threat modeling Vulnerability assessment Penetration testing (web/mobile/API) Secure coding review SAST/DAST tools (e.g., Veracode, Burp) Cloud security (AWS/Azure/GCP) Dev Sec Ops / CI-CD integration Security standards (OWASP, NIST, ISO 27001)

Stellantis seeks a Technology Manager to lead Data Science & AI initiatives within its Automotive Vehicles/Parts/Service organization. This role oversees teams building analytics and machine learning solutions that power connected vehicles, intelligent manufacturing, and customer experiences. You will define AI strategy and roadmaps, manage cloud-based data and ML platforms, and ensure reliable deployment and monitoring of models in production. Partnering closely with engineering and business leaders, you'll prioritize high-value use cases while fostering an inclusive, innovative culture aligned with Stellantis' sustainable mobility vision. Responsibilities Lead the Data Science & AI team delivering solutions for connected vehicles, manufacturing, and customer experience. Define AI and data strategy, architecture, and roadmaps aligned with Stellantis' mobility vision. Oversee design, deployment, and monitoring of ML models and data products in production. Partner with engineering, product, and business leaders to prioritize high impact analytics initiatives. Establish best practices for data governance, MLOps, and model performance. Manage budgets, vendors, and tools for AI platforms and data infrastructure. Mentor and grow a high performing, inclusive technical team. Report on KPIs and communicate insights to senior leadership. Required Skills Machine learning engineering Data engineering (ETL, pipelines) Cloud platforms (AWS, Azure, or GCP) Python and SQLMLOps and model lifecycle management Big data technologies (Spark, Kafka, Databricks) Automotive/Io T data analytics Data architecture and governance People and project management Agile methodologies