Level

Reframe Systems

Software Engineer, Design Automation (Senior / Staff+)

AI in this role

ABOUT US

Reframe Systems is a Physical AI and robotics company on a mission to make high-performance housing attainable and abundant in the communities where people want to live. Through our vertically integrated delivery model and highly automated microfactories, we deliver climate resilient homes and buildings with greater speed and predictability than traditional construction.

Our volumetric modular buildings are produced in our Andover, MA microfactory, with a growing pipeline across North America and a new microfactory on the way. We are building a system that balances repeatability with site-responsive design, enabling homes that are adaptable to each site, community, and customer need. Our cross-disciplinary team brings together architecture, robotics, design engineering, software, factory operations, and field delivery to change how housing gets delivered.

We’re reimagining the future of housing through a smarter and more sustainable system that empowers people to live better. Come build it with us.

WHAT WE'RE LOOKING FOR

We're looking for a Staff Software Engineer to own the hardest parts of our design automation platform: the system that takes a high-level design and, with minimal intervention, produces a manufacturable model and production plan (think: every stud, nail, HVAC register, and duct placed). Think of it as a compiler for a building. Take a design in high-level abstractions and make it executable on our microfactory.

This is a senior, hands-on technical leadership role. You take a messy domain, decompose it, and find clean solutions. You have built something structurally similar before, whether that's a geometry engine, a fabrication toolchain, or a physics simulation engine. You use coding agents daily and have developed a strong intuition on how to what frontier models excel at and what they don’t.

KEY 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.

QUALIFICATIONS

Prior knowledge or experience in architecture or construction is not required. We'll get you up to speed.

Must Have

  • Bachelor’s in computer science or electrical engineering; or equivalent experience.

  • 5+ 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.

Nice to Have

Having any of these would be a huge bonus but none are required to be a strong candidate:

  • Depth in one or more of these domains:

    • Geometric engines and CAD: you’ve helped build an integrated CAD system or some of the engine behind a tool like that. Some specific examples:

      • Parametric/feature-based CAD, such as Onshape, Open CASCADE, build123d/CadQuery, Zoo, Solidworks, Autodesk Fusion/Inventor.

      • Computational geometry engines. B-rep kernels, meshes, and geometric constraint solvers mean something to you.

      • Procedural and generative design

    • or, Design automation in other industries: you’ve worked on systems for automated design in domains other than architecture and mechanical design. Electronic Design Automation (EDA) has a lot of conceptual overlap with what we’re building and believe there’s a lot to learn from that world. Some specific examples:

      • Software for HDL synthesis and ASIC design

      • Circuit through PCB design software

      • CAM and G-code generators/post-processors

    • or, Game/physics engine: you’ve worked on the nuts and bolts of some pieces of a physics and/or rendering game engine.

    • or, Compilers and program transformation: contributed to a compiler, interpreter, query planner, or high-level synthesis engine.

  • 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.

EQUAL OPPORTUNITY EMPLOYER

Reframe Systems is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

If you believe you have the skills to thrive in this role, we encourage you to apply—even if you don't meet 100% of the listed requirements. At this time, we are only considering candidates who are authorized to work in the U.S. without the need for current or future visa sponsorship.

How we score this

Software Engineer, Design Automation (Senior / Staff+) at Reframe Systems scores 82 out of 100 for how much of the daily work is AI. That makes it AI Level 4 of 4 (Builds AI). The level is about AI in the job, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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