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 ...
WI · On-site
$184 - $356.50/hr
Be a part of the team that brings new GPU technologies to market with sophisticated simulation/emulation systems and be among the first to breathe life into new silicon. The position will be part of ...
WI · On-site
$184 - $356.50/hr
Be a part of the team that brings new GPU technologies to market with sophisticated simulation/emulation systems and be among the first to breathe life into new silicon. The position will be part of ...
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
$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
$120 - $190/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 ...
$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 ...
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 ...
Quick apply
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 ...
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 ...
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
Madison, WI · On-site
$90 - $130/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 ...
New
Software Engineer - AI & Cloud Engineering (Early to Mid Career
Madison, WI · On-site
$90 - $130/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 ...
New
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 ...
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 ...
Senior Software Engineer
Waukesha, WI · On-site
$122K - $161K/yr
Experience with GPU, Drivers, BIOS, networking, DevOps concepts, software and tools Personal Attributes * Strong oral and written communication skills * Strong interpersonal skills * Effective ...
Quick apply
Senior Software Engineer
Waukesha, WI · On-site
$122K - $161K/yr
Experience with GPU, Drivers, BIOS, networking, DevOps concepts, software and tools Personal Attributes * Strong oral and written communication skills * Strong interpersonal skills * Effective ...
Senior Software Engineer
$122K - $161K/yr
Experience with GPU, Drivers, BIOS, Networking, GPU technologies. * Demonstrated expertise in Linux Service Packs adoption, security patches installation. * Experience with automated test suites ...
Senior Software Engineer
$122K - $161K/yr
Experience with GPU, Drivers, BIOS, Networking, GPU technologies. * Demonstrated expertise in Linux Service Packs adoption, security patches installation. * Experience with automated test suites ...
WI · On-site
$168 - $334/hr
Monitor and manage extensive production GPU and Kubernetes environments to ensure high availability and performance. Apply advanced tools to detect, prevent, and respond to incidents proactively.
New
WI · On-site
$168 - $334/hr
Monitor and manage extensive production GPU and Kubernetes environments to ensure high availability and performance. Apply advanced tools to detect, prevent, and respond to incidents proactively.
New
Senior Software Engineer
Waukesha, WI · On-site
$122K - $161K/yr
Experience with GPU, Drivers, BIOS, Networking, GPU technologies. * Demonstrated expertise in Linux Service Packs adoption, security patches installation. * Experience with automated test suites ...
Senior Software Engineer
Waukesha, WI · On-site
$122K - $161K/yr
Experience with GPU, Drivers, BIOS, Networking, GPU technologies. * Demonstrated expertise in Linux Service Packs adoption, security patches installation. * Experience with automated test suites ...
WI · On-site
$168 - $334/hr
Monitor and manage extensive production GPU and Kubernetes environments to ensure high availability and performance. Apply advanced tools to detect, prevent, and respond to incidents proactively.
New
WI · On-site
$168 - $334/hr
Monitor and manage extensive production GPU and Kubernetes environments to ensure high availability and performance. Apply advanced tools to detect, prevent, and respond to incidents proactively.
New
WI · On-site
$90 - $130/hr
Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture ...
WI · On-site
$100 - $140/hr
Amalgamy.ai -- AI Orchestration Software An enterprise AI orchestration platform that maximizes GPU and compute utilization across complex AI environments, serving large-scale enterprise customers ...
WI · On-site
$140 - $210/hr
The growth of artificial intelligence is driving unprecedented global demand for compute and GPU infrastructure. Nscale is positioned at the heart of this transformation -- building the platforms ...
Software Engineer, Intern
Waukesha, WI · On-site
$23.50/hr
You'll contribute to algorithm development and highperformance computing (GPU/CPU) on Linux, with a focus on C++ and OpenCL. This internship is designed for students who want handson experience ...
Software Engineer, Intern
Waukesha, WI · On-site
$23.50/hr
You'll contribute to algorithm development and highperformance computing (GPU/CPU) on Linux, with a focus on C++ and OpenCL. This internship is designed for students who want handson experience ...
Engineer, Computer IV (Team Lead) with Security Clearance
Milwaukee, WI · On-site
$140K - $150K/yr
Oversee hardware integration and lifecycle management for compute platforms (Cisco, Dell, HPE), including GPU-enabled systems * Support performance tuning, capacity planning, and availability ...
Engineer, Computer IV (Team Lead) with Security Clearance
Milwaukee, WI · On-site
$140K - $150K/yr
Oversee hardware integration and lifecycle management for compute platforms (Cisco, Dell, HPE), including GPU-enabled systems * Support performance tuning, capacity planning, and availability ...
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 Aug 14, 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 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.
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 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 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 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:
Contractor
Re-posted 10 days ago
Job description
Position: Software Engineer - GPU, C++, OpenCL, CUDA
Location: Waukesha, WI (Onsite)
Exp: 5 - 9 yrs
Key Skills: 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 enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.
Primary Objective:
Detailed Requirements:
Work Experience
Skills:
Additional Experience:
Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to CUDA
Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks
Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations
Best regards,
Prasad Kalsekar | Hudson Manpower
Email: prasad@hudsonmanpower.com
Location: Waukesha, WI (Onsite)
Exp: 5 - 9 yrs
Key Skills: 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 enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.
Primary Objective:
- Leverage proprietary software platform to implement image processing algorithms on GPUs. (C++/OpenCL/CUDA/OneAPI)
- Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations
- Ensure quality and compliance of productized code per regulatory expectations
Detailed Requirements:
- Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to CUDA
- Improved image chain & algorithm performance compared to initial benchmarks
- Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues
- Improve GPU utilization leveraging heterogenous HPC knowledge.
- Perform testing, reliability analysis, performance benchmarks and document results
- Execute test procedures with high quality and rigor, following Good Documentation Practices
Work Experience
Skills:
- Programming Languages: C++, OpenCL, CUDA, OneAPI
- Image Processing Algorithms: Implementation and optimization on GPUs
- High-Performance Computing (HPC): Knowledge of heterogeneous HPC
- Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues
- Testing and Documentation: Performing testing, reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices
Additional Experience:
Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to CUDA
Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks
Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations
Best regards,
Prasad Kalsekar | Hudson Manpower
Email: prasad@hudsonmanpower.com