Jobs at General Motors

Lead product strategy and roadmap for utility and energy-market software supporting grid services. Translate program requirements into scalable integrations, manage full product lifecycle, perform market research, collaborate cross-functionally with engineering, sales, and business teams, and optimize products using data-driven insights to support managed charging, enrollment, and interoperability.

Design, build, and maintain Databricks-based executive dashboards and reports. Collaborate with data engineers to optimize data models, ensure data quality, configure role-based access, and apply AI-enabled features. Translate business questions into KPIs, tune performance, document validations, and contribute reusable standards and templates for executive-ready analytics.

Lead exploratory product and brand design for future web and mobile experiences. Turn ambiguous opportunities into clear strategies, high-fidelity artifacts, and interface systems. Influence cross-functional and senior stakeholders, drive independent design work, mentor designers, and improve processes and frameworks. Use emerging technologies, research, and experimentation to shape and communicate visionary concepts that guide product and organizational decisions.

The HIL Engineer will design, build, and maintain HIL systems for validating embedded controllers and perception systems, collaborating across teams.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

This role involves ensuring the quality of autonomous vehicle simulation platforms through coding, developing metrics, and automated regression monitoring. Responsibilities include maintaining simulation systems, debugging validation measures, and collaborating with cross-functional teams.

Develop and deploy machine learning solutions for autonomous driving, collaborating with cross-functional teams and mentoring engineers for technical excellence.

Lead the design of advanced driver assistance systems, focusing on user experience and safety, while managing a multidisciplinary team and collaborating cross-functionally.

Lead a team of systems and software engineers to validate autonomous driving features, focusing on requirements, validation strategies, and cross-functional collaboration.

Develop and maintain high-performance automotive infotainment UI applications in modern C++, optimize rendering and startup performance, integrate vehicle signals, support QNX/Linux/Android platforms, participate in code reviews, testing, CI/CD, and collaborate with cross-functional teams for vehicle integration.

Lead product definition and roadmap for internal web tools that surface and audit autonomous vehicle log events. Partner with engineers, data scientists, safety, and operations to translate complex AV workflows into requirements, prioritize features, improve reviewer productivity, define success metrics, and deliver scalable, reliable visualization and triage tooling.

The Senior Product Manager for AV Features will lead the vision and roadmap for autonomous vehicle features, collaborating with engineering and design teams to prioritize customer needs and business objectives while ensuring safe and effective product delivery.

The Staff Product Manager will own the strategy for AI-enhanced developer tools, driving adoption, coordinating across teams, and defining success metrics for AI workflows in the automotive sector.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Design, customize, and support Salesforce solutions (Apex, JS, LWC, Visualforce). Build integrations, drive scalable cloud architectures (AWS/Azure), debug and monitor production, write tests and documentation, maintain code repositories, mentor engineers, and collaborate with business and design teams. Hybrid role: 3 days in-office.

Build and optimize AI/ML infrastructure and production-grade systems. Integrate AI solutions across platforms, implement scalable, secure deployments, validate and monitor models, and connect diverse data sources and SaaS tools via APIs.