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.
Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org.
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)
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.
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