Staff+ Software Engineer, Design Automation

Reframe Systems • Boston, MA

3d

About The Position

Reframe Systems is a Physical AI and robotics company focused on making high-performance housing attainable and abundant. We utilize a vertically integrated delivery model and highly automated microfactories to deliver climate-resilient homes and buildings with greater speed and predictability. Our volumetric modular buildings are produced in our Andover, MA microfactory, with plans for expansion. We are building a system that balances repeatability with site-responsive design, allowing for adaptable homes. Our team is cross-disciplinary, including experts in architecture, robotics, design engineering, software, factory operations, and field delivery, all working together to transform housing delivery. We are reimagining the future of housing with a smarter, more sustainable system that empowers people.

We are seeking a Staff Software Engineer to take ownership of the most challenging aspects of our design automation platform. This platform transforms high-level designs into manufacturable models and production plans with minimal human intervention, essentially acting as a 'compiler for a building.' The role involves taking a design expressed in high-level abstractions and making it executable within our microfactory environment. This is a senior, hands-on technical leadership position requiring the ability to tackle complex, ambiguous domains, decompose them, and develop elegant solutions. Candidates should have prior experience building structurally similar systems, such as geometry engines, fabrication toolchains, or physics simulation engines. Familiarity with coding agents and an understanding of the capabilities and limitations of frontier models are essential.

Requirements

• Bachelor’s in computer science or electrical engineering; or equivalent experience.
• 7+ years of experience building production software.
• Strong software engineering experience, ideally in Go, Python or C#, including automated testing, CI/CD, monitoring and alerting, debugging and root cause analysis.
• Experience with cloud-native architecture, especially data-centric applications.
• Experience managing infrastructure and deployments in containerized/cloud services (EC2, Lambda, etc.).
• Demonstrated technical leadership. Have a track record of turning a messy domain into clean abstractions and demonstrated the ability to deliver reliable code at scale under tight timelines.
• Experience using coding agents to build prototypes, get to a solution rapidly, and augment day-to-day development.
• Comfortable picking up new programming languages quickly and becoming productive in them.
• Depth in one or more of these domains: Geometric engines and CAD (parametric/feature-based CAD, computational geometry engines, procedural and generative design), Design automation in other industries (EDA, CAM, G-code generators), Game/physics engine, Compilers and program transformation.

Nice To Haves

• Experience with Onshape and writing FeatureScript.
• Production applied AI work: tool-use orchestration, structured generation, eval harnesses.
• Experience with architecture, construction, or mechanical design software
• Have utilized GPU-accelerated compute.

Responsibilities

• Help architect and build the core of our design automation platform: the pipeline that lowers a building design into manufacturing-ready outputs.
• Turn a messy, ambiguous domain into clean, durable abstractions. Decompose large problems, prove solutions in the real world, and cut scope judiciously.
• Design the pipeline's stages, intermediate representation, and the verification gates that catch problems early.
• Set technical direction for design automation and raise the engineering bar through review, standards, and mentorship.
• Leverage AI to both build this system and utilize it within the system itself.
• Collaborate with highly interdisciplinary teams to build towards a highly automated system while progressively augmenting our existing workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior