The role involves developing modular architecture improvements and frameworks to maximize compute utilization and performance for autonomous driving systems. The individual will evolve compute usage for both vehicle and simulation environments to support system scaling. Responsibilities include collaborating with onboard and hardware teams to identify performance bottlenecks and co-design optimized software solutions. The position requires ensuring system reliability and reaction latency for collision avoidance across complex driving environments. Additionally, the role entails developing high-scale performance evaluation, debugging, and software change management processes. Finally, the individual will optimize system resource usage within cloud datacenters to minimize latency and hardware consumption.

Candidates must possess a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, Physics, Mathematics, or a related field, or equivalent experience. The role requires six years of software engineering experience on large-scale, high-complexity systems. Applicants need two years of software management experience, with at least four years specifically in infrastructure, systems, or performance domains. Additionally, four years of experience as a technical lead and four years of C++ programming experience are required.