Autonomous Driving GPU Engineer — Real-Time Onboard

Bot Auto; San Francisco (CA); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Bot Auto in San Francisco hires a highly skilled GPU software engineer to optimize real-time autonomous driving workloads. You will work on sensor processing, neural network inference, and GPU-accelerated components using CUDA, with a focus on low-latency embedded platforms.

The role requires strong C/C++ and Python proficiency, experience with Nsight tools, and prior work on real-time embedded systems and large sensor data streams.

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Strong knowledge of parallel computing principles, GPU architecture, memory hierarchy, and performance optimization techniques.
• Experience profiling GPU applications using tools such as NVIDIA Nsight Systems, Nsight Compute, or equivalent tools.
• Experience deploying or optimizing neural network inference workloads using PyTorch, ONNX, and TensorRT.
• Experience with real-time embedded systems and handling large data streams from sensors (camera, LiDAR, radar).
• Strong proficiency in C/C++ and Python.

Aufgaben

• Optimize end-to-end GPU performance for real-time autonomous driving workloads, including sensor processing and NN inference.
• Develop and optimize parallel computing algorithms and GPU-accelerated components using CUDA.
• Collaborate with cross-functional teams to design onboard GPU software architectures for perception, planning, and control modules.
• Profile and analyze bottlenecks across GPU computation, memory access, data movement, synchronization, and CPU–GPU interaction.
• Debug and optimize GPU-based software to improve latency, throughput, resource utilization, and runtime stability on embedded platforms.

Kenntnisse

GPU programming

CUDA

Nsight tools

Neural network inference

C/C++

Python

Embedded systems

Ausbildung

Bachelor’s or Master’s degree in Computer Science or Electrical Engineering

Tools

NVIDIA Jetson Thor

NVIDIA DRIVE Thor

MPS

MIG

Jobbeschreibung

Bot Auto in San Francisco hires a highly skilled GPU software engineer to optimize real-time autonomous driving workloads. You will work on sensor processing, neural network inference, and GPU-accelerated components using CUDA, with a focus on low-latency embedded platforms.

The role requires strong C/C++ and Python proficiency, experience with Nsight tools, and prior work on real-time embedded systems and large sensor data streams.