Early Career Engineer

Success Matcher Recruitment; San Francisco (CA); On-site; USD 95,000 - 130,000; Full time

Job summary

Success Matcher Recruitment is partnering with a high-growth company building generative foundation models for mechanical engineering in San Francisco. As an early-career engineer, you’ll join as a generalist and own well-scoped technical projects, with opportunities to expand as you demonstrate impact.

Your work may include building geometry and data pipelines for CAD data, parsing and converting formats, developing evaluation tooling, and supporting ML experiments—across ML, geometry, and

Qualifications

• 0–2 years of experience, including internships and research experience.
• New graduates and early-career engineers are encouraged to apply.
• BS or MS in CS, Engineering, Mathematics, Physics, or a related technical field.
• Strong proficiency in Python and/or C/C++.
• Comfortable working in Linux/Unix environments.
• Familiarity with Git and standard software development tools.
• Visa Sponsorship: H-1B and O-1 sponsorship available.

Responsibilities

• 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.

Skills

Python

C/C++

Education

BS or MS in Computer Science, Engineering, Mathematics, Physics, or related technical field

Tools

Git

Linux

Job description

About the Opportunity

We are partnering with a high 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