Perception Engineer: GPU Engineering

Responsibilities

• Collaborate with team members to deploy computer vision algorithms and deep learning models to GPUs.
• Contribute to the development of internal tools and libraries to further enhance perception system performance on the target hardware.
• Develop training materials and provide supervision/guidance to junior engineers.

Qualifications

• Masters or PhD in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
• Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
• 8+ years experience of strong programming and software design skills in C++, especially in low latency or real-time environments.
• 5+ years experience with parallel computing/programming.
• 5+ years experience with GPU programming / optimization using CUDA or similar technologies.

Preferences

• Experience in software performance benchmarking, profiling, and optimizations.
• Experience with GPU optimization techniques: memory coalescing, register/shared memory tiling, pinned memory, and warp-level programming.
• Experience with GPU libraries: CUB, CUTLASS, Thrust, or Eigen.
• Experience with deep learning frameworks/compiler/library such as TensorRT, PyTorch, TensorFlow, ONNX Runtime.

Benefits

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.