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Salary
$220k – $300k per year
Location
In office (San Francisco)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 5, 2026.

Overview
Company
Impact
Profile match
Success Matcher is a global recruitment and talent advisory firm registered in Helena, Montana, that sources candidates for client companies, many of them venture-backed technology start-ups, across North America, Europe and Asia. It recruits for clients on permanent and on-demand terms, with most current searches in San Francisco and New York and others in London, Washington, Houston, Atlanta and Manila. Its vacancies, filled on behalf of clients, include account executives, sales engineers and business development representatives, AI, robotics and electrical engineers, data scientists, implementation managers and procurement managers, as well as internal recruiters.

CAD / Geometry Engineer

About the Company

Our client is building the first generative foundation models capable of performing the work of a licensed mechanical engineer. Rather than focusing on optimization or simulation tools, the company is tackling the actual design work engineers do: complex parametric modeling, constraint resolution, and manufacturing-aware geometry generation.

About the Role

This is a foundational technical hire. You'll own the geometry backbone of the company's generative CAD system, working at the intersection of computational geometry and applied AI. You will report directly to the Chief of Staff within a flat, low-bureaucracy organization where technical expertise directly shapes product and roadmap decisions.

This is not a CAD software or tooling role. It is deep infrastructure work: building the geometric foundations that allow AI models to generate valid, manufacturable designs.

What You'll Do

  • Design and build B-rep data structures and pipelines that power parametric CAD generation
  • Advance parametric geometry and constraint-solving systems, enabling AI models to understand and manipulate design intent
  • Apply CAD kernel expertise (Parasolid, ACIS, OpenCASCADE, or similar) to inform how generative models produce valid geometry
  • Build geometry processing systems for topology analysis, feature recognition, and design validation
  • Partner closely with researchers and engineers to define the geometric foundations of next-generation engineering AI
  • Directly influence technical strategy and product roadmap through your domain expertise

What We're Looking For

  • 6+ years of hands-on experience in computational geometry or CAD kernel engineering (required); this is a hard requirement, not a nice-to-have
  • Deep expertise in B-reps, NURBS, parametric geometry, solid modeling, and surface modeling fundamentals
  • Strong C++ or Python skills applied to geometry processing and algorithm development
  • Production experience with a CAD or geometry kernel such as Parasolid, ACIS, or OpenCASCADE
  • Comfort with geometry algorithms and data structures, including mesh processing, point cloud operations, and topology analysis
  • A genuine passion for computational geometry and a builder's mindset suited to fast-moving, ambiguous environments

Preferred

  • PhD in computational geometry, physics, mathematics, or computer science
  • Domain experience in aerospace, robotics, or manufacturing, with an understanding of how geometry decisions affect real-world engineering outcomes
  • Published research or open-source contributions in geometry, shape analysis, or related fields

Why Join

  • Work on the core geometry engine enabling AI to perform licensed mechanical engineering work, not another CAD tool
  • Build on a proven foundation with a clear path to a commercial product
  • Join a dense, expert team with Series A momentum and a clear path to Series B
  • Operate with full technical ownership in a flat structure with no layers of bureaucracy
  • Competitive compensation reflecting the specialization this role demands
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