Principal Engineer, AV Simulation and Evaluation

What you'll do

• Design and build simulation and evaluation infrastructure to accelerate Level 4 self-driving development.
• Evolve efficient data formats like Protobuf, Arrow, Parquet, and MCAP for high-performance AV evaluation.
• Build reliable services, APIs, and data pipelines capable of handling hundreds of millions of runs per day.
• Optimize system performance through profiling, parallelization, memory efficiency, and query optimization.
• Develop diagnostic and observability tooling to help teams debug data and test pipelines.
• Drive the adoption of new standards and technologies within the physical AI tooling ecosystem.
• Redesign protocols and data models to eliminate performance bottlenecks across the full backend stack.

What we're looking for

• BS or MS in Computer Science or equivalent experience.
• 15+ years of professional experience in software engineering with a focus on distributed systems and data-intensive applications.
• Proficiency in Go, Python, or Java with experience operating across the full backend stack.
• Deep experience building high-performance low-latency data systems including binary serialization and columnar data formats.
• Strong understanding of distributed systems including concurrency, consistency tradeoffs, and latency optimization.
• Ability to identify and fix performance bottlenecks through optimization across the stack, including redesigning protocols and data models.
• Experience building orchestration or workflow execution systems (preferred).
• Experience working with sensor data pipelines or understanding AV and Robotics concepts (preferred).