Senior Integration Engineer, End-to-End Model - Autonomous Vehicles

Responsibilities

• Integrate learned driving models with vehicle interfaces, sensor inputs, localization, mapping, safety systems, and other autonomous driving components.
• Establish clear model input, output, timing, state-management, and runtime interface contracts.
• Partner with model developers to improve model quality, debuggability, runtime behavior, and readiness for deployment.
• Investigate discrepancies between model behavior in development environments and on target vehicle platforms.
• Optimize model inference and surrounding software to meet latency, throughput, memory, determinism, and power requirements.
• Develop tools and metrics for evaluating driving quality, safety, robustness, and regression performance at scale.
• Perform in-vehicle testing, collect and analyze driving data, and complete autonomous driving missions.
• Develop high-quality production code in C++ and Python using CUDA and other GPU-accelerated technologies.
• What we need to see
• PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related field.

Languages