Unlimited Industries
Software Engineer (All Levels)
About this role
Join a mission-driven team automating construction at scale using AI and full-stack software. You'll design and build end-to-end solutions for large infrastructure projects, working autonomously alongside hardware and analysis engineers in a high-performance environment focused on solving critical industry challenges.
What you'll do
- Design and implement full-stack software architecture for construction automation platform
- Develop cloud infrastructure and database systems to support AI-driven engineering workflows
- Build AI coding agent integrations to automate engineering design processes
- Collaborate with hardware and analysis engineers to deliver customer-facing products
- Identify and resolve performance bottlenecks in mission-critical systems
- Execute hands-on development with extreme ownership over technical decisions
What they're looking for
- Full-stack application development
- Cloud infrastructure and DevOps
- Database design and optimization
- AI and machine learning integration
- Software architecture and system design
- Physical product or manufacturing domain knowledge
- Problem-solving and technical debugging
- Python or similar backend languages
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Unlimited Industries
Unlimited Industries builds an AI-powered platform for automated engineering design and construction automation that applies multidisciplinary engineering expertise to real-world physical infrastructure. The company is hiring junior and mid-level software engineers and multidisciplinary engineers who are hands-on builders passionate about creating innovative products that leverage AI to transform infrastructure.
View all jobs at Unlimited IndustriesLikely interview questions
- Describe a full-stack application you built from scratch—what were the most critical architectural decisions you made?
- How have you approached integrating AI or machine learning models into production systems, and what challenges did you encounter?