Position: CUDA Developer – Healthcare
Domain
Location: Waukesha, WI (Onsite)
Type: Contract
Role Description:
We are seeking a
skilled CUDA Programmer to design, develop, and optimize
high-performance applications on NVIDIA GPUs. The role focuses on
accelerating compute-intensive workloads, optimizing memory usage, and
collaborating with system and application teams to maximize GPU performance.
Key
Responsibilities
- Profile and tune GPU applications for performance, memory
efficiency, and scalability.
- Work with CPU–GPU parallel programming models and optimize
data transfer.
- Leverage NVIDIA libraries (CUDA, cuBLAS, cuDNN, NCCL as
applicable).
- Collaborate with system, compute, or AI/ML teams to integrate
GPU-accelerated components.
- Debug GPU kernels and address performance bottlenecks using
NVIDIA profiling tools.
- Ensure portability and performance across different NVIDIA
GPU architectures.
Required Skills
- Strong experience in CUDA programming and parallel
computing concepts.
- In-depth understanding of NVIDIA GPU architecture (threads,
warps, SMs, memory hierarchy).
- Proficiency in C/C++ for high-performance computing.
- Experience with CUDA profiling and debugging tools (Nsight,
nvprof).
- Solid understanding of multi-threading, memory optimization,
and performance tuning.
Preferred Skills
- Experience with AI/ML, HPC, or graphics workloads on GPUs.
- Familiarity with multi-GPU programming and communication
frameworks (NCCL, MPI).
- Exposure to Python bindings (CUDA Python, PyTorch
extensions).
- Experience with Linux-based development environments.