Build and maintain geometry/data pipelines for 3D CAD models and machine learning systems. Develop evaluation harnesses and internal tools to support model training and research. Work closely with a small, technical team on challenging engineering problems.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About the company
Our client is a venture-backed spatial intelligence company building foundation models for physical engineering design. Its first model is a generative foundation model for structured 3D parametric CAD, and the team is now developing the next generation of its system. Founded in 2022 and backed with $27M in funding, the company has grown from six people at its last financing to a highly technical team of 1
2.
The role and why it mat
ters
This is a broad new-graduate engineering role for someone with strong fundamentals and the curiosity to work across machine learning, geometry, graphics, data systems, evaluation, and internal tooling. You will begin with well-scoped projects, learn the full system, and take on more ownership as you demonstrate strength. No CAD or manufacturing background is req
uired.
What y
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ou'll do
• Build and maintain geometry and data pipelines that parse CAD, convert formats, extract features, and verify outpu
t quality.
• Write evaluation harnesses and tooling that help the team determine whether model performance ha
s improved.
• Support machine learning training and experiment runs, instrument systems, debug failures, and present resu
lts clearly.
• Build internal tools that remove friction for researchers a
nd engineers.
• Work across the stack and develop depth in the areas where you have the gr
eatest impact.
• Own challenging technical problems in close collaboration with a small, ex
perienced team.
What
we're looking for
• Zero to two years of software engineering experience, including inter
nships or research.
• A bachelor's or master's degree in computer science, engineering, mathematics, physics, or a closely related field from
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a rigorous program.
• Hands-on experience with machine learning training, data pipelines, internal tooling, or adj
acent technical work.
• Strong programming ability in P
ython and/or C or C++.
• Evidence of high performance through internships, research, ambitious technical projects, or work in a demanding e
ngineering environment.
• A generalist mindset, intellectual curiosity, and willingness to begin broa
dly before specializing.
• A track record of finishing difficult work and taking initiative without waiting f
or detailed
instructions.
Bonus points
• Exposure to CAD, computational geometry, robotics, perception, graphics, game development, or rel
ated coursework and projects.
• Experience building evaluation systems or supporting
model training infrastructure.
• Research or internship experience at a high-bar te
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chnology company or labor
atory.
Compensation and b
enefits
• $150K-$220K base salary.
• Total compens
ation around $300K, including bonu
s.
• Competitive equity and benefits.
• Visa sponsorship and transfers may be available, including F-1 OPT, H-1B transfer
s, new H-1B sponsorship
, and TN visas.
Location and work model
This is a full-time role based in San Francisco, California. The team works together in the office five days per week, and candidates must be able to
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