Software Engineer - AI & Cloud Engineering (Early to Mid Career, WI Based)
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Competitive salary
- Meaningful equity of early-stage startup
- 401K contribution
- Health insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
