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Gpu Jobs in Wisconsin (NOW HIRING)

Cirrascale Corporation

WI · On-site

$150 - $195/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 ...

Nscale

WI · On-site

$120 - $180/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 ...

Gehc

Senior Software Engineer

Waukesha, WI

$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 ...

NVIDIA Gruppe

WI · On-site

$184 - $287.50/hr

At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA's platforms for machine ...

GE HealthCare

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 ...

Nscale

WI · On-site

$77.39 - $103.19/hr

Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. At Nscale, our ...

Hypertec Group

WI · On-site

$70 - $100/hr

Position Hypertec's complete portfolio, including AI and GPU infrastructure, servers, storage, networking, end-user computing, cybersecurity, professional services and lifecycle support. * Develop ...

New

NVIDIA Gruppe

WI · On-site

$184 - $287.50/hr

At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA's platforms for machine ...

ThisWay

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 ...

Abbott

AI Platform Engineer

Madison, WI · On-site

Architect and manage GPU infrastructure - scheduling, autoscaling, resource isolation, and utilization efficiency for training and inference workloads. * Instrument the platform and the models on it ...

Iris Energy

WI · On-site

$180 - $240/hr

Head of Procurement | WorkLocation Type: #remote or #hybrid IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN ...

Nscale

WI · On-site

$82.55 - $123.83/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 ...

Abbott

AI Platform Engineer

Madison, WI · On-site

Architect and manage GPU infrastructure - scheduling, autoscaling, resource isolation, and utilization efficiency for training and inference workloads. * Instrument the platform and the models on it ...

Pure Storage, Inc.

WI · On-site

$142 - $251/hr

Build deep, trust-based relationships with executive enterprise buyers (CAIOs, CDOs, Lead Data Scientists), translating technical GPU-adjacent infrastructure needs into compelling, executive-level ...

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How much do gpu jobs pay per hour?

As of Sep 6, 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?

AspectGpuData Scientist
Required CredentialsKnowledge of parallel computing, programming skills (CUDA, OpenCL)Degree in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentHardware-focused, technical, often in R&D or engineering teamsData analysis, modeling, research in various industries
Industry UsageTech, gaming, AI, machine learningFinance, 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:

Gpu jobs near you
Infographic showing various Gpu 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 $115,350 per year, or $55.5 per hour.

Software Engineer - AI & Cloud Engineering (Early to Mid Career

Worky

Madison, WI • On-site

$90 - $130/hr

Other

Medical, Retirement

Posted 23 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory.

About the Role

Flexcompute is seeking a highly capable mid-level software engineer to join our Wisconsin-based engineering team. This role is ideal for someone who enjoys building scalable systems, learning quickly, and contributing across multiple layers of a modern engineering platform.

You will help develop and improve core infrastructure and user-facing capabilities across our cloud-native simulation and collaboration platforms. Initially, the focus will be on workspace and workbench-related functionality, with opportunities to grow into more advanced platform architecture and distributed systems work over time.

You will collaborate closely with experienced engineers, product leaders, and simulation experts while helping shape the next generation of engineering software and AI-enabled workflows.

What You’ll Work On
  • Building and maintaining backend services, APIs, and platform infrastructure
  • Developing features for engineering workspaces and collaborative workflows
  • Improving scalability, reliability, and performance across cloud systems
  • Supporting AI-related infrastructure and intelligent tooling initiatives
  • Enhancing developer tooling, automation, and deployment systems
  • Contributing to visualization and interactive engineering experiences
  • Collaborating across software, infrastructure, and simulation teams

We are looking for engineers with strong technical fundamentals, curiosity, and the ability to ramp up quickly in complex environments.

You may be a strong fit if you have:

  • 3 to 6 years of professional software engineering experience
  • Strong programming skills in one or more languages such as Python, C++, Rust, Go, Java, or JavaScript
  • Experience building backend systems, APIs, or distributed services
  • Familiarity with Linux-based development environments and Git workflows
  • The ability to independently drive technical projects and collaborate effectively across teams
  • Strong problem-solving ability and attention to detail
  • A degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field
Preferred Skills
  • Experience with cloud infrastructure such as AWS, GCP, or Azure
  • Familiarity with Docker, Kubernetes, or containerized environments
  • Exposure to AI infrastructure, ML systems, or data engineering workflows
  • Experience with performance optimization or distributed computing systems
  • 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 aerospace, semiconductors, energy, advanced computing, and AI-driven engineering.

You will join a fast-growing team building next-generation technologies at the intersection of GPU computing, cloud infrastructure, scientific simulation, and AI. Engineers at Flexcompute are given significant ownership, access to world-class mentors, and the opportunity to contribute to products used by some of the world’s most innovative organizations.

  • Competitive salary
  • Meaningful equity of early-stage startup
  • 401K contribution
  • Health insurance
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