Overview
On Site
Depends on Experience
Full Time
Skills
CUDA programming
C++
CMake
CUDA libraries
Job Details
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.).
- 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.
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