Software Engineer: Flexcompute in Madison

Flexcompute is hiring a Software Engineer for an early to mid-career role in Madison, Wisconsin. The position covers backend services, APIs, platform infrastructure, developer tooling, AI infrastructure, and collaborative engineering work. The software engineering role asks for strong programming fundamentals, Linux and Git familiarity, and the ability to drive technical projects independently. Salary is described as competitive, with no amount or currency provided by the employer.

Flexcompute's Madison team works across cloud infrastructure, GPU computing, scientific simulation, and AI. The initial focus is workspace and workbench functionality, with later opportunities in platform architecture and distributed systems. The employer has not provided an employment type, work mode, application method, or Final date to receive applications for this vacancy.

Software Engineer, AI and Cloud Engineering

Flexcompute

Not provided by the employer. The post is filed as Full-Time in the employment field because the site requires a value.

Madison, Wisconsin

Competitive salary, amount and currency not provided by the employer.

Not provided by the employer.

Not provided by the employer.

Flexcompute describes itself as The Physics Company and builds physics twins, GPU-native simulation, and AI-powered automation for engineers. The Flexcompute platform serves work involving aircraft, vehicles, chips, and photonics.

The company was founded by engineers from MIT and Stanford around a mission to make the real world computable. Its products include simulation and engineering tools for computational fluid dynamics, electromagnetics, photonics, geometry processing, and on-premises simulation.

The role builds and maintains backend services, APIs, and platform infrastructure. It also contributes to engineering work spaces and collaborative workflow features, where software teams interact with simulation and engineering data.

Flexcompute expects the engineer to improve cloud-system scalability, reliability, and performance while supporting intelligent tooling. Developer automation, deployment systems, visualisation, and interactive engineering experiences are part of the stated technical scope.

The vacancy requires strong programming skills, backend, API, or distributed-service experience, Linux-based development familiarity, and a Git workflow. Preferred experience includes AWS, GCP, Azure, Docker, Kubernetes, AI infrastructure, ML systems, data engineering, distributed computing, GPU acceleration, and scientific computing.

Programming languages named by the employer include Python, C++, Rust, Go, Java, and JavaScript. The work connects cloud-native simulation platforms with automation and AI, so careful debugging, performance work, and cross-team communication remain part of the engineering process.

The Madison team works with software engineers, infrastructure specialists, simulation experts, product leaders, and technical mentors. The initial assignment focuses on workspace and workbench functionality, while the role can extend into platform architecture and distributed systems.

Flexcompute states that its products serve more than 250 companies and academic institutions. The work therefore connects platform engineering with applications in aerospace, semiconductors, energy, advanced computing, and AI-driven engineering without assigning a single customer or project to this vacancy.

The compensation package includes meaningful equity described as an early-stage startup benefit, a 401K contribution, and health insurance. The employer has not published the value of the salary, the currency, or additional benefits for this position.

Access to experienced engineers, product leaders, simulation experts, and world‑class mentors is stated as part of the team environment. The listed scope gives the role exposure to cloud infrastructure, scientific simulation, AI, visualisation, developer tooling, and deployment systems.

Flexcompute's story traces its founding to work by Stanford and MIT researchers who wanted faster engineering computation. The company now connects GPU-native solvers and AI agents with engineering workflows.

The vacancy is aimed at an engineer with three to six years of professional…