GM's Autonomous Vehicle (AV) organization is building national-scale, next-generation mapping systems from the ground up, combining robust backend infrastructure with intuitive, performant user interfaces to support the world's most advanced self-driving vehicles.
Requirements
- 5+ years of experience designing, implementing, and operating scalable distributed systems in production.
- Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals.
- Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA).
- Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure.
- Experience with data orchestration pipelines and ETL mechanisms (eg. airflow)
- Experience with mapping, geospatial data, or robotics systems (e.g., Localization, Perception).
- Proficiency with Linux systems , container orchestration (e.g., Docker, Kubernetes), and distributed logging/metrics systems.
Responsibilities
- Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping.
- Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release.
- Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions.
- Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability.
- Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation.
- Diagnose and resolve large-scale system issues across services, data pipelines, and production environments.
- Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV.
Other
- This role is categorized as remote or hybrid. This means the successful candidate, if within 50 mile radius of GM location, is expected to report to the office three times per week, at minimum.
- Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers.
- BS, MS, or PhD in Computer Science , Electrical Engineering , or related technical field, or equivalent industry experience.
- Familiarity with autonomous vehicle software stack , including the map-data lifecycle and software safety standards.
- Experience in CI/CD pipeline design , large-scale deployment strategies, or cloud-native architecture.
