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Gpu Programmer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$100 - $125/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)

WI · On-site

$125 - $150/hr

Norway About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused ...

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 ...

$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 ...

WI · On-site

$150 - $200/hr

You will work with global Supply Chain, Engineering, Planning, and Modernization teams on advancing Dell's AI, GPU, and networking ecosystem while helping shape the future of AI infrastructure ...

Senior Backend Engineer

Madison, WI · On-site

$125 - $150/hr

Knowledge of GPU infrastructure and resource scheduling * Experience building developer platforms or internal infrastructure tooling Example Projects: * Architect and deploy Kubernetes-based ...

New

WI · On-site

$250/hr

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a ... We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod ...

WI · On-site

$200 - $250/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 ...

Architect and manage GPU infrastructure - scheduling, autoscaling, resource isolation, and ... Build the developer-facing surface of the platform: APIs, SDK components, templates, documentation ...

WI · On-site

$250/hr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Seeking seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC ...

New

Architect and manage GPU infrastructure - scheduling, autoscaling, resource isolation, and ... Build the developer-facing surface of the platform: APIs, SDK components, templates, documentation ...

WI · On-site

$80 - $100/hr

Infrastructure Operations Engineer (Narvik) Norway About Nscale Nscale is the GPU cloud engineered ... Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes ...

WI · On-site

$250/hr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Seeking seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC ...

New

WI · On-site

$200 - $250/hr

Background in HPC systems engineering, SRE, or systems analysis for GPU-accelerated environments.* Experience building automation and data pipelines that feed dashboards and reporting at scale.

You'll contribute to algorithm development and highperformance computing (GPU/CPU) on Linux, with a ... Familiarity with objectoriented programming and common design patterns. Analytical and ...

Senior Software Engineer

Waukesha, WI · On-site

$122K - $161K/yr

As a Senior Software Engineer, you will own the design, development, and delivery of next ... GPU technologies. • Automated testing experience test case development, maintenance, and ...

Showing results 21-40

Gpu Programmer information

See Wisconsin salary details

$12

$39

$69

How much do gpu programmer jobs pay per hour?

As of Sep 8, 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 are popular job titles related to Gpu Programmer jobs in Wisconsin?

For Gpu Programmer jobs in Wisconsin, the most frequently searched job titles are:

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.

AI infrastructure Engineer - Norway

WI • On-site

$100 - $125/hr

Other

Re-posted 4 days ago


Job description

About Bitdeer

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

About the Role

Architecting, deploying, and maintaining the infrastructure required for large-scale AI compute environments in a high-density AI data center.

What You Will Be Responsible For
  • Deploy and manage large-scale GPU clusters using orchestration platforms such as Kubernetes or Slurm
  • Optimize high-speed, low-latency networking (e.g., InfiniBand, RoCE v2) for distributed compute
  • Work closely with Project teams and operations to plan and monitor rack density across AI infrastructure
  • Implement and maintain high-throughput storage systems (e.g., Lustre, BeeGFS, WekaIO) supporting GPU-intensive workloads
  • Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform or Ansible
  • Troubleshoot and optimize performance across compute, networking, and storage infrastructure in a mission-critical environment
  • This role ensures stable, scalable, and high-performance infrastructure supporting next-generation AI compute operation.
How You Will Stand Out
  • Degree in Computer Science, Data Engineering, or related technical field (Master’s preferred)
  • Strong experience with Linux administration, containerization, and GPU infrastructure
  • Experience with orchestration and workload management platforms such as Kubernetes or Slurm
  • Familiarity with the NVIDIA infrastructure stack (CUDA, NCCL, Triton Inference Server)
  • Deep understanding of NVIDIA GB300 and VR NVL72 Scalable Units’ functionality
  • Experience working in HPC, AI infrastructure, or large-scale distributed compute environments
  • Experience with InfiniBand, RoCE v2, or high-performance networking architectures
  • Familiarity with AI-focused storage platforms such as Lustre, BeeGFS, or WekaIO
  • Experience with Terraform, Ansible, or other IaC frameworks
  • NVIDIA, Kubernetes, or cloud infrastructure certifications

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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