Jobs at General Motors

Develop and lead safety-critical embedded C++ software for automotive telematics control units. Responsibilities include system architecture, requirements decomposition, implementation, testing, in-vehicle debugging, validation, anomaly investigation, root-cause analysis, corrective action, and supplier issue resolution. The engineer will work across vehicle networks, diagnostics, cellular connectivity, cloud services, and integration environments while contributing to design reviews, engineering standards, and technical direction.

Lead full-lifecycle software development integrating robots and plant-floor devices with manufacturing data systems. Build, maintain, debug, optimize, and secure production applications using C++, Java, Azure, ROS, testing, CI/CD, and agile practices. Collaborate with manufacturing, controls, OT/IT, and data teams; support on-call operations, resolve urgent production issues, mentor developers, and conduct code reviews.

Lead software integration and release execution for vehicle controllers; align cross-functional teams (software, calibration, hardware, validation, suppliers); manage plans, dependencies, risks, verification/validation, and launch readiness; drive issue resolution, root-cause investigations, and process improvements while communicating status to leadership.

Provides onsite field service support for military vehicles and platforms. Diagnoses, repairs, disassembles, reassembles, retrofits, and validates vehicle systems using scan tools, multimeters, schematics, and technical manuals. Supports warranty claims, issue tracking, maintenance, quality, readiness, sustainability, service procedure validation, and operator training. The role requires frequent domestic and international travel, independent problem-solving, customer liaison responsibilities, and eligibility for a Secret security clearance.

Leads truck and intermodal transportation sourcing across North America. Responsibilities include developing procurement strategies, issuing RFQs, analyzing bids, negotiating and awarding contracts, managing supplier performance, conducting rate analysis, resolving commercial issues, driving savings, and coordinating with logistics, manufacturing, finance, legal, and suppliers. The role also supports continuous improvement, compliance, benchmarking, KPI reviews, and sourcing projects.

Leads global sourcing, purchasing strategy, supplier negotiations, RFQs, contract and rate management, material budgets, supplier relationship initiatives, and supply disruption mitigation. Maintains sourcing documentation, benchmarking data, KPIs, and on-time metrics while identifying savings and process improvements. Collaborates with cross-functional stakeholders and suppliers across automotive-related commodities. Requires SAP familiarity, strong analytical and negotiation skills, and travel below 25%.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Supports manufacturing product launches and ongoing programs by managing product changes, launch milestones, quality, and change review boards. Coordinates launch activities using APQP, MQRR, and GM-specific processes while ensuring compliance with GMS. Develops manufacturing processes and documentation, applies problem-solving and continuous-improvement tools to reduce costs, and collaborates across teams to ensure product manufacturability. The role also involves machining and assembly process knowledge, troubleshooting, and potential capital equipment project leadership.

Serves as GM’s enterprise technical authority for mechanical fastening systems across vehicle programs. Develops fastening strategies, standards, specifications, and best practices; leads architecture reviews and standardization initiatives; supports structural, safety-critical, and military applications; and guides fastener selection, torque, joint design, corrosion prevention, fatigue performance, and validation. Partners with manufacturing, quality, purchasing, supply chain, and suppliers to resolve issues, improve cost and quality, support launches, manage technical risks, and advance fastening technology roadmaps.

Develop and support manufacturing execution systems, plant-floor applications, databases, SCADA, PLC interfaces, and manufacturing servers. Maintain a Python-based part-tracking website, troubleshoot database and production issues, analyze manufacturing data, and support system upgrades, testing, backups, monitoring, recovery, and deployment. Collaborate onsite with controls, manufacturing engineering, IT, quality, maintenance, operations, and suppliers to improve production visibility, traceability, quality, uptime, and efficiency.

Develop and integrate embedded transmission control software for performance vehicles, including shift execution, torque management, diagnostics, and feature performance. Translate requirements into software designs, implementation, and verification activities. Perform coding, reviews, integration, root-cause analysis, and testing across software-in-the-loop, hardware-in-the-loop, bench, and vehicle platforms. Collaborate with systems, calibration, architecture, and integration teams while following GM engineering, quality, and change-management standards.

Support development, configuration, and execution of Software-in-the-Loop (SIL) test environments for ADAS features. Create scenarios, run initial tests, debug issues, automate test cases and result analysis, document SIL usage, and mentor junior engineers to improve virtualization testing, reduce physical testing dependence, and enable early validation of ADAS capabilities.

Leads advanced data science initiatives across business units, designing scalable analytics architectures and predictive, prescriptive, generative AI, and machine learning solutions. Builds and deploys LLM, RAG, agentic, and multi-agent systems; develops visualizations and communicates recommendations to executives. Partners with cross-functional teams to identify high-impact opportunities, manage technical debt, enable stakeholder adoption, and mentor junior data scientists.

Build and operate production network software for GM’s secure hybrid AV infrastructure. Responsibilities include developing Go and Python services, APIs, controllers, network automation, Infrastructure as Code, CI/CD workflows, observability, and SRE capabilities. The role designs scalable GCP and on-premises connectivity, supports high-throughput data ingestion, improves security and reliability, participates in on-call and incident response, and provides technical leadership and mentorship.

Leads production design release, sourcing, launch, engineering changes, supplier quality, and manufacturing improvements for transmission and drive unit cases. Performs design analysis, supplier audits, capability studies, PPAP implementation, validation, and root cause analysis of warranty issues. Collaborates with suppliers, plants, manufacturing, quality, and program teams to improve cost, timing, mass, and product quality.

Supports defense engineering programs involving military platforms, tactical vehicles, survivability, systems integration, product development, testing, validation, reliability, safety, and mission-critical hardware or software. Engineers analyze complex technical problems, develop solutions, and contribute from concept through deployment. Positions are hybrid in Warren or Milford, Michigan, require at least two years of relevant defense, aerospace, military, or government-program experience, and are limited to U.S. Persons.

Supports development, integration, validation, tuning, and quality analysis of automotive viewing systems such as rear-view, surround-view, transparent-trailer, and curb-view cameras. Collaborates with software and algorithm teams, integrates features into ECUs, performs issue triage and root-cause analysis, manages camera calibration and alignment, conducts road and staged data collection, and reviews system performance.

Lead the architecture, development, and productionization of scalable data pipelines and governed data products in Databricks. Transform heterogeneous source data for analytics, AI, and machine learning; establish data quality, observability, governance, and delivery standards; and support experimentation, model development, deployment, and monitoring. Lead cross-team initiatives, influence technical roadmaps, mentor engineers and data scientists, and develop reusable AI and multi-agent data capabilities.

Lead complex data science initiatives, including designing, training, and deploying generative AI and machine learning models. Manage unstructured data, apply predictive and prescriptive analytics, forecast trends, identify risks, optimize operations, and communicate insights through visualizations. Collaborate with engineering, product, and business teams while mentoring junior data scientists and advancing GM’s data science community.

Configure, program, test, troubleshoot, and improve PLC-based control systems and automated manufacturing equipment. The engineer will resolve production issues, troubleshoot electrical systems, design operator interfaces, evaluate and install automation systems, and support startup, maintenance, and operations. The role partners with manufacturing, quality, and maintenance teams while driving improvements in quality, cost, safety, and responsiveness.