Engineer, New Grad

Socket.dev; San Francisco (CA); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Visa sponsorship

Competitive equity

Relocation assistance

Job summary

Socket.dev is hiring for a broad, entry-level engineering role in San Francisco. You will start with well-scoped projects spanning machine learning, geometry, graphics, and data systems, learning the full system and taking on more ownership over time. No CAD/manufacturing background required.

You will build and maintain data pipelines for CAD, write evaluation tooling, and support model training. A generalist mindset and initiative are prized, with visa sponsorship possible for the right

Qualifications

• 0–2 years of software engineering experience or internships/research.
• Hands-on experience with machine learning training, data pipelines, internal tooling, or similar work.
• Strong programming ability in Python and/or C/C++.
• Track record of finishing difficult work and taking initiative without detailed instructions.

Responsibilities

• Build and maintain geometry/data pipelines for CAD formats and feature extraction.
• Write evaluation harnesses and tooling to measure model performance improvements.
• Support ML training runs, instrument systems, debug failures, and present results clearly.
• Build internal tools to remove friction for researchers and engineers.
• Work across the stack and deepen expertise where it matters most.
• Own challenging technical problems in collaboration with a small, experienced team.

Skills

Problem solving

Curiosity

Initiative

Generalist mindset

Education

Bachelor's or Master's in CS/Engineering/Math/Physics

Tools

Python

C/C++

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 12.

The role and why it matters

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 required.

What you'll do

• Build and maintain geometry and data pipelines that parse CAD, convert formats, extract features, and verify output quality.
• Write evaluation harnesses and tooling that help the team determine whether model performance has improved.
• Support machine learning training and experiment runs, instrument systems, debug failures, and present results clearly.
• Build internal tools that remove friction for researchers and engineers.
• Work across the stack and develop depth in the areas where you have the greatest impact.
• Own challenging technical problems in close collaboration with a small, experienced team.

What we're looking for

• Zero to two years of software engineering experience, including internships or research.
• A bachelor's or master's degree in computer science, engineering, mathematics, physics, or a closely related field from a rigorous program.
• Hands-on experience with machine learning training, data pipelines, internal tooling, or adjacent technical work.
• Strong programming ability in Python and/or C or C++.
• Evidence of high performance through internships, research, ambitious technical projects, or work in a demanding engineering environment.
• A generalist mindset, intellectual curiosity, and willingness to begin broadly before specializing.
• A track record of finishing difficult work and taking initiative without waiting for detailed instructions.

Bonus points

• Exposure to CAD, computational geometry, robotics, perception, graphics, game development, or related coursework and projects.
• Experience building evaluation systems or supporting model training infrastructure.
• Research or internship experience at a high-bar technology company or laboratory.

Compensation and benefits

• $150K-$220K base salary.
• Total compensation around $300K, including bonus.
• Competitive equity and benefits.
• Visa sponsorship and transfers may be available, including F-1 OPT, H-1B transfers, 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 work on-site or relocate before starting.