Senior CUDA Engineer – Robotics Vision & Embedded Systems

Job Title: Senior CUDA Engineer – Robotics Vision & Embedded Systems

Location: Campbell, CA (Onsite)

The Client is seeking a Senior CUDA Engineer to own GPU-side development. You’ll play a key role in optimizing performance-critical code paths and ensuring our systems run fast and efficiently across multiple platforms.

What You’ll Do

• Port computer vision algorithms into CUDA kernels with a focus on throughput & latency.
• Profile & optimize GPU performance using Nsight Systems and Nsight Compute.
• Debug functional and memory issues using cuda-memcheck and cuda-gdb.
• Manage and maintain CMake-based CUDA builds across diverse hardware targets.
• Ensure stable integration of third-party CUDA libraries (cuBLAS, Thrust, etc.).

What We’re Looking For

• Strong knowledge of CUDA programming and GPU memory hierarchies.
• Proven skills in profiling, debugging, and optimization on GPU code.
• Strong C and CMake development background.
• Ability to make clear decisions about performance trade-offs and architecture.
• Excited to work in a hands-on, fast-moving startup environment.

Nice to Have

• Experience deploying on NVIDIA Jetson / aarch64 cross-compilation.
• Familiarity with CUDA libraries such as cuBLAS, Thrust, CUTLASS.

Why Join Us?

• Build real robotics systems where speed and correctness are mission-critical.
• Work in a small, highly technical team and have a large impact.
• Be part of a company at an inflection point — strong funding, real traction, and big ambitions.