Autonomous Driving GPU Engineer — Real-Time Onboard

Bot Auto; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

GPU programming

CUDA

Nsight tools

Neural network inference

C/C++

Python

Embedded systems

Education

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

Tools

NVIDIA Jetson Thor

NVIDIA DRIVE Thor

MPS

MIG

Job description

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.