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Salary
$150k – $220k per year
Location
In office (San Francisco)
Seniority
Junior
Visa
Sponsorship offered in the posting

Confirmed on the employer's own hiring board on Oct 23, 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.

About the Opportunity

We are partnering with ahigh growth companybuilding generative foundation models for mechanical engineering. The company is developing AI systems capable of performing sophisticated engineering design work, going beyond traditional optimization and simulation.

The team has already shipped a groundbreaking 3D parametric CAD foundation model and is now advancing the next generation of its technology.

This is an exceptional opportunity for a high-potential new graduate or early-career engineer who wants to work on difficult technical problems alongside a highly experienced team.

What You'll Do

As an early-career engineer, you'll join as a generalist and take ownership of well-scoped technical projects, with the opportunity to expand your scope as you demonstrate impact.

Your work may include:

  • Building and maintaining geometry and data pipelines for CAD and engineering data
  • Parsing CAD data, converting formats, extracting features, and validating outputs
  • Developing evaluation harnesses and tooling to measure model performance
  • Supporting ML training runs and experiments
  • Instrumenting experiments, debugging failures, and turning results into actionable insights
  • Building internal tools that improve engineering and research velocity
  • Working across ML, geometry, graphics, data pipelines, evaluation, and internal infrastructure
  • Taking projects from initial design through implementation and deployment
  • Learning from experienced engineers and researchers while progressively taking on greater ownership

What We're Looking For:

  • 0-2 years of experience, including internships and research experience
  • New graduates and early-career engineers are encouraged to apply
  • A BS or MS in Computer Science, Engineering, Mathematics, Physics, or a related technical field
  • Strong academic background from a highly competitive program
  • Significant internship or research experience at a high-caliber technology company, engineering organization, or research lab
  • Strong proficiency in Python and/or C/C++
  • Comfortable working in Linux/Unix environments
  • Familiarity with Git and standard software development tools
  • Demonstrated ability to build and ship something beyond coursework
  • Strong problem-solving and debugging skills
  • Ability to take ownership of challenging problems and drive projects through completion
  • Visa Sponsorship: H-1B and O-1 sponsorship available
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