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Contract Software Engineer Gpu Jobs in Madison, WI

Software Tutor

Madison, WI · Remote

$18 - $40/hr

Deep knowledge of software development methodologies, programming languages, version control ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Implementation Engineer

Oregon, WI · On-site

$80 - $100/hr

Hands-on software development background * Experience integrating AI tools into development ... S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol ...

... contract documents & safety regulations. Key Responsibilities Assist Project Managers with the ... Utilize company software and equipment in accordance with company policies. Perform other duties as ...

... contract documents & safety regulations. Key Responsibilities * Assist Project Managers with the ... Utilize company software and equipment in accordance with company policies. * Perform other duties ...

ServiceNow Developer

Madison, WI · On-site

$54.50 - $74.75/hr

We are an approved vendor on contract to provide software development and IT staff augmentation ... Our client is looking for a ServiceNow Developer that requires a ServiceNow Subject Matter Expert ...

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Contract Software Engineer Gpu information

See Madison, WI salary details

$64K

$148.6K

$207.1K

How much do contract software engineer gpu jobs pay per year?

As of Aug 25, 2026, the average yearly pay for contract software engineer gpu in Madison, WI is $148,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $174,300.00 per year, depending on experience, location, and employer.

What is the difference between Contract Software Engineer Gpu vs Contract Software Engineer Cloud?

AspectContract Software Engineer GpuContract Software Engineer Cloud
Required CredentialsProficiency in GPU programming, CUDA, OpenCLExperience with cloud platforms, APIs, and cloud-specific tools
Work EnvironmentDeveloping high-performance GPU applications, often on specialized hardwareBuilding and deploying applications on cloud infrastructure, remote environments
Employer & Industry UsageTech companies, AI, gaming, scientific computingCloud service providers, SaaS companies, enterprise solutions
Search & Comparison IntentLooking for GPU-focused software engineering rolesSeeking cloud-based software engineering opportunities

The main difference between Contract Software Engineer Gpu and Contract Software Engineer Cloud lies in their focus areas. GPU roles emphasize high-performance computing and specialized hardware, while cloud roles focus on deploying and managing applications in cloud environments. Both require strong software development skills, but their tools and work settings differ significantly.

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

Madison, WI • On-site

Flexcompute Inc.
Software Development • 11 - 50 employees

Full-time

Medical, Retirement

Re-posted 29 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

Projects may include:

  • 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

Requirements

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.

If you are excited by ambitious technical challenges and want to help shape the future of engineering computing, we encourage you to apply.

Benefits

Competitive salary

Meaningful equity of early-stage startup

401K contribution

Health insurance