Senior Software Engineer, Autonomous Vehicles

What you'll do

• Design and integrate planning frameworks that combine learned driving models with classical trajectory planning and deterministic safety systems.
• Develop runtime arbitration and safety enforcement mechanisms between AI-generated trajectories and rule-based safety constraints.
• Build scalable architecture to enable large AI driving models to operate within automotive compute and real-time latency constraints.
• Develop execution frameworks to ensure AI behaviors satisfy vehicle dynamics, collision avoidance, and passenger comfort requirements.
• Implement safety-oriented planning capabilities including trajectory validation, fallback handling, and Minimum Risk Maneuver strategies.
• Analyze and debug complex autonomy edge cases involving uncertainty, model failure modes, and real-world safety constraints.
• Improve observability, reliability, and debuggability for autonomy planning systems in simulation and on-vehicle environments.
• Drive architectural decisions balancing AI capability, system robustness, and embedded deployment efficiency.

What we're looking for

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, AI/ML, or a related technical field.
• 12+ years of relevant industry experience in autonomous systems, robotics, AI infrastructure, or safety-critical software systems.
• Strong software engineering fundamentals with production C++ development experience.
• Strong understanding of autonomous vehicle planning, trajectory generation, motion planning, or robotics systems.
• Experience working with machine learning systems and understanding how learned models behave under uncertainty and real-world edge cases.
• Experience delivering scalable, production-quality systems from architecture through deployment.
• Strong debugging, systems integration, and performance optimization skills for real-time systems.
• Excellent communication and cross-functional technical leadership abilities.