Software Engineer, Design Automation (Senior

About the role

Join our team to build the core design automation platform that transforms high-level building plans into detailed manufacturing instructions. This senior, hands-on technical leadership position involves tackling complex problems to create a system that acts like a compiler for physical structures. You will develop the tools that translate architectural designs into precise production plans for our microfactories.

Key facts

What you'll do

• Design and construct the central pipeline for our design automation system, converting building designs into outputs ready for manufacturing.
• Simplify complex and unclear problem spaces into clear, lasting abstractions, breaking down large tasks and validating solutions.
• Define the stages, intermediate data formats, and verification steps within the pipeline to identify issues early.
• Guide the technical direction for design automation, improving engineering quality through reviews, standards, and mentoring.
• Integrate AI to both construct this system and apply it within the system's operations.
• Work with diverse teams to achieve a highly automated system while gradually enhancing current workflows.

Requirements

• Bachelor's degree in computer science or electrical engineering, or equivalent practical experience.
• At least 5 years of experience developing production-grade software.
• Strong background in software engineering, preferably in Go, Python, or C#, including automated testing, continuous integration/delivery, monitoring, and debugging.
• Experience with cloud-native architectures, especially for data-intensive applications, and managing infrastructure in containerized or cloud environments (e.g., EC2, Lambda).
• Proven technical leadership, with a history of simplifying complex domains into clear abstractions and delivering reliable code under tight deadlines.
• Experience using AI coding agents for rapid prototyping, problem-solving, and daily development tasks.
• Ability to quickly learn and become proficient in new programming languages.

Nice to have

• Deep knowledge in geometric engines and CAD, such as building integrated CAD systems or the underlying engines for tools like Onshape, Open CASCADE, build123d/CadQuery, Zoo, Solidworks, Autodesk Fusion/Inventor.
• Understanding of computational geometry engines, including B-rep kernels, meshes, and geometric constraint solvers.
• Experience with procedural and generative design.
• Background in design automation from other industries, like Electronic Design Automation (EDA), including software for HDL synthesis, ASIC design, circuit to PCB design, or CAM/G-code generators.
• Experience with game or physics engines, focusing on their core components.
• Contributions to compilers, interpreters, query planners, or high-level synthesis engines.
• Familiarity with Onshape and writing FeatureScript.
• Practical experience with applied AI in production, including tool-use orchestration, structured generation, and evaluation harnesses.
• Experience with architecture, construction, or mechanical design software.
• Used GPU-accelerated computing.

Skills & tools

• Go
• Python
• C#
• Cloud-native architecture
• Containerization (e.g., Docker)
• AWS (e.g., EC2, Lambda)
• CI/CD
• Automated testing
• AI coding agents

Practical notes

Applicants must be authorized to work in the U.S. without requiring current or future visa sponsorship.