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# Software Engineer - AI & Cloud Engineering

- **Company:** Flexcompute Inc.
- **Location:** Madison, WI, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Collaborative Software, Computer Programming, Information Engineering, Linux, Programming Tools, Distributed Systems, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Quantum Computing, Reliability Engineering, Software Tools, Scientific Computating, Software Engineering, AI Infrastructure, Rust (Programming Language), Scripting, Graphics Processing Unit (GPU), Cloud Platform System, Backend, Git, Containerization, Git Flow, Kubernetes, Information Technology, Machine Learning Operations, Docker, Golang
- **Published:** August 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-ai-cloud-engineering-early-to-mid-career-madison-wi--db5e2d6d-2bcf-4735-a4fb-964e94429ea6

## About the Role

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, Aerospace and Defense, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Automation, C++ Programming Language, Cloud Computing, Computer Programming, Computer Science, Computer Systems, Detail Oriented, Distributed Computing, Docker, Engineering, Engineering Software, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Git, Go Programming Language (Golang), Java, JavaScript, Linux Operating System, Machine Tool, Mathematics, Mentoring, Microsoft Windows Azure, Performance Tuning/Optimization, Physics, Problem Solving Skills, Programming Tools, Python Programming/Scripting Language, Quantum Computing, Reliability Engineering, Rust Programming Language, Scalable System Development, Semiconductors, Simulation, Software Design, Software Engineering, Startup, Team Building, Team Player, Venture Capital

## Description

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


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