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

Benefits

Competitive salary

Meaningful equity of early-stage startup

401K contribution

Health insurance