Hiring - CUDA NVIDIA Engineer - Waukesha WI

[Bishwa Mahato]

CUDA NVIDIA Engineer
Location:  Waukesha WI

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.