WI · On-site
$120 - $180/hr
GPU Bare MetalRequired Skills * Proven ability to orchestrate bare metal linux systems at scale including building automation for firmware updates, bios config management, configuring PXE ...
New
WI · On-site
$120 - $180/hr
GPU Bare MetalRequired Skills * Proven ability to orchestrate bare metal linux systems at scale including building automation for firmware updates, bios config management, configuring PXE ...
New
GPU, C++, OpenCL, CUDA, OneAPI, Matlab Only USC / GC Job Requirements The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing ...
GPU, C++, OpenCL, CUDA, OneAPI, Matlab Only USC / GC Job Requirements The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing ...
CUDA Programmer
Waukesha, WI · On-site
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 ...
Quick apply
CUDA Programmer
Waukesha, WI · On-site
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 ...
WI · On-site
$120 - $170/hr
Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. At Nscale, our ...
WI · On-site
$175.10 - $334.75/hr
This position owns the physical and platform layers of CVS's Enterprise AI Factory - a frontier‑class GPU compute environment running NVIDIA Blackwell systems across a high‑throughput RoCE v2 ...
WI · On-site
$175.10 - $334.75/hr
This position owns the physical and platform layers of CVS's Enterprise AI Factory - a frontier‑class GPU compute environment running NVIDIA Blackwell systems across a high‑throughput RoCE v2 ...
AI Infrastructure Operations Engineer
Milwaukee, WI · Hybrid
$105K - $138K/yr
We design, build, and operate large-scale GPU and accelerated-computing infrastructure that supports demanding AI training and inference, simulation, and high-performance compute workloads. Our work ...
AI Infrastructure Operations Engineer
Milwaukee, WI · Hybrid
$105K - $138K/yr
We design, build, and operate large-scale GPU and accelerated-computing infrastructure that supports demanding AI training and inference, simulation, and high-performance compute workloads. Our work ...
Software Engineer
Waukesha, WI · On-site
You will implement innovative CT image reconstruction algorithms, including the use of deep learning, on latest GPU technologies with an emphasis on performance optimization and algorithm accuracy.
Software Engineer
Waukesha, WI · On-site
You will implement innovative CT image reconstruction algorithms, including the use of deep learning, on latest GPU technologies with an emphasis on performance optimization and algorithm accuracy.
WI · On-site
$140 - $190/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 ...
WI · On-site
$100 - $130/hr
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
WI · On-site
$100 - $130/hr
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
WI · On-site
$200 - $391/hr
We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world's most desirable employers.
WI · On-site
$200 - $391/hr
We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world's most desirable employers.
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
$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
$152 - $288/hr
Define and deliver high-value, GPU-accelerated AI solutions for energy operations that meet these needs. * Develop industrial digital twins for plants, assets, and grids using Omniverse, OpenUSD, and ...
WI · On-site
$152 - $288/hr
Define and deliver high-value, GPU-accelerated AI solutions for energy operations that meet these needs. * Develop industrial digital twins for plants, assets, and grids using Omniverse, OpenUSD, and ...
WI · On-site
$150 - $230/hr
This is a hands‑on role at the center of one of the most demanding and rapidly scaling HPC environments in operation, spanning a large fleet of GPU and CPU nodes built on the latest NVIDIA ...
WI · On-site
$150 - $230/hr
This is a hands‑on role at the center of one of the most demanding and rapidly scaling HPC environments in operation, spanning a large fleet of GPU and CPU nodes built on the latest NVIDIA ...
WI · On-site
$160 - $200/hr
We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful ...
WI · On-site
$160 - $200/hr
We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful ...
WI · On-site
$184 - $287.50/hr
Hands-on experience with the architecture of multi-GPU and/or multi-node clusters, including networking and interconnects.* Solid grasp of how HPC and AI factory systems fit together end to end, from ...
WI · On-site
$184 - $287.50/hr
Hands-on experience with the architecture of multi-GPU and/or multi-node clusters, including networking and interconnects.* Solid grasp of how HPC and AI factory systems fit together end to end, from ...
HPC Performance Engineer
Oregon, WI · On-site
$152 - $241.50/hr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world ...
HPC Performance Engineer
Oregon, WI · On-site
$152 - $241.50/hr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world ...
$225K - $260K/yr
This includes ensuring data is efficiently loaded, distributed, and processed across large GPU clusters. * Identify and resolve bottlenecks in the training pipeline, including data loading ...
$225K - $260K/yr
This includes ensuring data is efficiently loaded, distributed, and processed across large GPU clusters. * Identify and resolve bottlenecks in the training pipeline, including data loading ...
WI · On-site
$125 - $180/hr
We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful ...
WI · On-site
$125 - $180/hr
We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful ...
WI · On-site
$65 - $85/hr
Access to state‑of‑the‑art compute and GPU infrastructure, including H100 and B300 GPU clusters. * Innovation: The opportunity to apply a recently published, "proof‑of‑concept" method for ...
Software Engineer - AI & Cloud Engineering (Early to Mid Career, WI Based)
Madison, WI · On-site
$80 - $110/hr
Interest in scientific computing, GPU acceleration, or simulation platforms Why Flexcompute? Flexcompute offers the opportunity to work on deeply technical challenges with real-world impact across ...
Software Engineer - AI & Cloud Engineering (Early to Mid Career, WI Based)
Madison, WI · On-site
$80 - $110/hr
Interest in scientific computing, GPU acceleration, or simulation platforms Why Flexcompute? Flexcompute offers the opportunity to work on deeply technical challenges with real-world impact across ...
Gpu information
See Wisconsin salary details
$14.07 - $19.37
13% of jobs
$19.37 - $24.66
0% of jobs
$24.66 - $29.95
0% of jobs
$29.95 - $35.25
0% of jobs
$35.25 - $40.54
0% of jobs
$40.54 - $45.84
0% of jobs
$45.84 - $51.13
0% of jobs
$53.18 is the 25th percentile. Wages below this are outliers.
$51.13 - $56.42
30% of jobs
The median wage is $57.99 / hr.
$56.42 - $61.72
23% of jobs
$63.82 is the 75th percentile. Wages above this are outliers.
$61.72 - $67.01
23% of jobs
$67.01 - $72.30
11% of jobs
$14
$55
$72
How much do gpu jobs pay per hour?
As of Sep 5, 2026, the average hourly pay for gpu in Wisconsin is $55.46, according to ZipRecruiter salary data. Most workers in this role earn between $54.62 and $65.53 per hour, depending on experience, location, and employer.
What is a GPU?
A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.
What is a GPU engineer?
A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.
What are the key skills and qualifications needed to thrive as a GPU engineer?
To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.
What are some common challenges faced by GPU engineers when optimizing performance for various applications?
GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.
What is the difference between Gpu vs Data Scientist?
| Aspect | Gpu | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of parallel computing, programming skills (CUDA, OpenCL) | Degree in Computer Science, Statistics, or related fields; programming skills |
| Work Environment | Hardware-focused, technical, often in R&D or engineering teams | Data analysis, modeling, research in various industries |
| Industry Usage | Tech, gaming, AI, machine learning | Finance, healthcare, tech, marketing |
Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.
How to get into the graphics processing unit industry?
To enter the GPU industry, candidates typically need a strong background in computer engineering, electrical engineering, or computer science, with skills in programming languages like C++ and knowledge of graphics APIs such as DirectX or Vulkan. Relevant experience can be gained through internships, projects, or certifications in hardware design, GPU architecture, or related fields. Staying updated on industry developments and obtaining certifications like NVIDIA's or AMD's developer programs can also enhance job prospects.
What are the most commonly searched types of Gpu jobs in Wisconsin?
The most popular types of Gpu jobs in Wisconsin are:
What are popular job titles related to Gpu jobs in Wisconsin?
For Gpu jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Gpu jobs in Wisconsin look for?
The top searched job categories for Gpu jobs in Wisconsin are:
$120 - $180/hr
Other
Posted 3 days ago
New
Job description
We need engineers skilled in multiple areas here to support both GPU Bare Metal and GPU VM products. We also need engineers skilled in AI/ML DevOps and Linux Sysadmins.
GPU Bare MetalRequired Skills- Proven ability to orchestrate bare metal linux systems at scale including building automation for firmware updates, bios config management, configuring PXE environments.
- Deep Linux systems experience including troubleshooting network interfaces, developing and applying configuration management, security best practices and monitoring and alerting.
- Strong automation mindset. Expert knowledge in 1 or more orchestration tools such as MaaS, Salt, Chef, Ansible or Puppet.
- Strongcommunication skills. Your job will involve writing detailed documentation for others to pick up or leading knowledge sharing sessions with operations teams.
- Hands-on experience in High Performance Computing (HPC) clustered environments from Nvidia or AMD. Experience in performing automated wide scale testing on NCCL or other frameworks.
- Network engineering experience with VyOS platforms.
- Provisioning and automating GPU Bare Metal deployments
- DevOps - Assist customer support and CloudOps teams with GPU specific knowledge/debugging during customer escalations
- Performance testing, analysis and monitoring
- Firmware, BIOS, Kernel upgrades and testing
- Strong understanding of Linux based operating systems
- Deep experience with the internals of QEMU, KVM, Linux kernel and libvirt. Strong proficiency in C.
- Strong knowledge of DO's proprietary services and how they intersect with our virtualization stack.
MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract