Senior C++ Engineer – Simulation Infrastructure

We develop the core simulation infrastructure that powers testing, validation, and debugging of our autonomous driving system. Our simulations are used daily across the company: by QA engineers verifying component-level quality, by autonomy engineers investigating unexpected behavior, by ML teams validating new model versions, and by safety analysts and data scientists who analyze thousands of simulated scenarios and metrics to assess system readiness. The simulator is modular and supports both full-system and component-level runs. It operates at scale on distributed compute clusters, enabling us to simulate far more situations than we can cover on the road.

As a Senior C++ Engineer, you’ll help design and build the foundational infrastructure behind our simulation system. You’ll write high-performance, reliable C++ code that powers critical simulation workflows and collaborate closely with infrastructure and autonomy teams to ensure correctness, reproducibility, and consistency with on-vehicle software. You'll work on challenges such as running multiple versions of autonomy modules within a single simulation to compare behavior across code revisions. You’ll also contribute to tools that analyze simulation behavior and performance, while helping keep the system efficient and cost-effective at scale.

• Design and implement foundational simulation infrastructure in C++.
• Ensure simulation runs are correct, reproducible, and efficient.
• Collaborate with platform and autonomy teams to ensure integration and consistency with real-world deployments.
• Lead and contribute to design reviews and cross-team technical decisions.
• Build tools for analyzing performance and debugging system behavior.

• 5+ years of experience building production-level software.
• Strong proficiency in modern C++.
• Experience in benchmarking, profiling, and optimizing complex systems.
• Familiarity with large-scale or distributed compute environments.

• Experience using Python for tooling and automation.
• Familiarity with Bazel - we use it extensively.
• Background in robotics, simulation, or embedded systems.
• Experience modeling real-world systems (e.g., physics, sensors, agents, environments).