Senior Integration Engineer, End-to-End Model - Autonomous Vehicles
Core
Integrate learned end-to-end driving models with vehicle interfaces, sensors, and safety systems to enable reliable autonomous driving functionality on NVIDIA's heterogeneous computing platforms.
Role type
Senior IC integration engineer (autonomous vehicles)
Builds
End-to-end autonomous driving application and production vehicle platforms
Domain
Autonomous vehicles, robotics, AI systems
Deliverable
production ML models
Required skills
C++, CUDA, Python, PyTorch, Linux, embedded/real-time OS (QNX), model inference optimization, software architecture, debugging, performance analysis
Preferred skills
Model quantization, compilation, profiling, hardware-aware neural-network design, in-vehicle testing, data collection and analysis
Technologies
CUDA, TensorRT, PyTorch, QNX, Linux
Responsibilities
Integrate driving models with vehicle interfaces and sensor inputs; Establish model input/output/timing/state-management contracts; Optimize model inference for latency, throughput, memory, and power; Develop evaluation tools for driving quality and safety; Perform in-vehicle testing and data analysis; Develop high-quality production code in C++ and Python
Seniority
Senior, hands-on IC