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Gpu Programmer Jobs in Wisconsin (NOW HIRING)

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 ...

Familiarity with GPU technologies; CUDA or OpenCL Desired Characteristics We are seeking engineers ... who demonstrate exceptional potential through curiosity, ownership, learning agility, and technical ...

WI · On-site

$175.10 - $334.75/hr

Own the physical layer of the AI compute environment - GPU compute, storage, network fabric ... Empower the Security SRE Lead to maintain a world‑class security posture across the ...

WI · On-site

$175.10 - $334.75/hr

Own the physical layer of the AI compute environment - GPU compute, storage, network fabric ... Empower the Security SRE Lead to maintain a world-class security posture across the infrastructure ...

WI · On-site

$180 - $240/hr

Experience with GPU programming, CUDA, OpenCL, parallel computing, or hardware-accelerated software optimization. * Knowledge of networking protocols, distributed systems, edge computing, embedded ...

WI · On-site

$132 - $253/hr

Be a technical specialist on GPU and networking products, partnering with account, program, architecture, and engineering teams to support design‑in, integration readiness, issue resolution, and ...

WI · On-site

$140 - $190/hr

Manage cloud environments and GPU compute resources to ensure systems are not only highly scalable ... Engineers located in the US must reside in Dallas, TX , and be willing to work onsite; * Hands-on ...

WI · On-site

$100 - $130/hr

Deploy and manage large-scale GPU clusters using orchestration platforms such as Kubernetes or ... Degree in Computer Science, Data Engineering, or related technical field (Master's preferred)

Senior Software Engineer

Waukesha, WI · On-site

$122K - $161K/yr

Summary As a Senior Software Engineer, you will own the design, development, and delivery of ... Experience with GPU, Drivers, BIOS, Networking, GPU technologies. * Demonstrated expertise in Linux ...

Senior Software Engineer

Waukesha, WI · On-site

$122K - $161K/yr

Summary As a Senior Software Engineer, you will own the design, development, and delivery of next ... Experience with GPU, Drivers, BIOS, Networking, GPU technologies. * Demonstrated expertise in Linux ...

WI · On-site

$120 - $190/hr

Perform forecasting and rapid simulation for power systems, subsurface, and process engineering. * Build industry direction by integrating NVIDIA technology into AI, HPC, and enterprise GPU and ...

$225K - $260K/yr

This includes ensuring data is efficiently loaded, distributed, and processed across large GPU ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...

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Gpu Programmer information

See Wisconsin salary details

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How much do gpu programmer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for gpu programmer in Wisconsin is $39.91, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $51.92 per hour, depending on experience, location, and employer.

What does a GPU programmer do?

A GPU Programmer specializes in writing and optimizing code that runs on Graphics Processing Units (GPUs). They use parallel computing techniques and languages like CUDA or OpenCL to accelerate tasks such as graphics rendering, scientific simulations, and machine learning. Their work involves optimizing performance, managing memory efficiently, and ensuring compatibility across different hardware architectures.

What are the key skills and qualifications needed to thrive in the GPU programmer position, and why are they important?

To thrive as a GPU Programmer, you need a solid background in computer science, experience with parallel computing concepts, and proficiency in GPU programming languages like CUDA or OpenCL. Familiarity with development tools such as NVIDIA Nsight, profiling utilities, and version control systems is typically required, while relevant certifications in GPU computing can be beneficial. Strong problem-solving ability, collaboration skills, and attention to detail help differentiate top performers in this field. These skills are essential for optimizing code performance, successfully working in dynamic teams, and meeting the high computational demands of modern applications.

What job categories do people searching Gpu Programmer jobs in Wisconsin look for?

The top searched job categories for Gpu Programmer jobs in Wisconsin are:

Infographic showing various Gpu Programmer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $83,004 per year, or $39.9 per hour.

CUDA Programmer

Waukesha, WI • On-site

Contractor

Re-posted yesterday


Job description

CUDA Programmer
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.