GM's Autonomous Vehicle (AV) organization is looking to build the world's most advanced self-driving vehicles and is developing national-scale, next-generation mapping systems. The role is to design and build scalable systems for ingestion, storage, access, and delivery of autonomous vehicle maps.
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 based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Mountain View, Sunnyvale], you are expected to report to that location three times a week, at minimum.
- Bachelors degree in related field or relevant work experience
- BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience.
- Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers.
- Familiarity with autonomous vehicle software stack, including the map-data lifecycle and software safety standards.
