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Flexcompute, inc.

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

madison, WI

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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

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.

Competitive salary

Meaningful equity of early-stage startup

401K contribution

Health insurance

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Worksite address

madison, WI, 53774, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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