AI Engineering Intern

KinetiCAD; Berkeley (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

KinetiCAD Solutions is seeking a junior engineer to work on the engine that reads CAD models and drawings and turns them into machining plans. You’ll contribute to building reliable production code in a small team.

You will identify machining features in 3D CAD data, help run accuracy checks, write tests, and decide when a plain deterministic approach is best. Berkeley-based, hands-on learning guaranteed.

Qualifications

• Strong Python and production code experience.
• Fundamentals of machine learning and hands-on PyTorch experience.
• Currently studying or recently graduated in CS/engineering/Physics/Maths.
• Curiosity about how physical parts are manufactured.

Responsibilities

• Improve the engine to read drawings with dimensions, tolerances, finishes, and notes.
• Identify machining features in 3D CAD models and translate them into operations.
• Build evaluation sets and run accuracy checks to measure changes.
• Collaborate with local language models and choose when deterministic algorithms suffice.
• Write tests, review profiles, and optimize slow parts.

Skills

Python

Machine learning fundamentals

PyTorch or similar framework

Curiosity about manufacturing

3D geometry

Education

CS/ME/EE/Physics/Maths student or graduate

Tools

OpenCASCADE

Job description

Work with me on the engine that reads CAD models and technical drawings and turns them into machining plans.

About KinetiCAD

KinetiCAD reads a part's CAD model and its technical drawing and works out how a machine shop should make it. It picks the machine, the tools and the operations, and it writes the CNC program. Every program is checked against the CAD model in a cutting simulation before it can be released. We're based at the Berkeley SkyDeck accelerator.

The role

You'll work on the engine with me. I lead the geometry and AI side. Every problem starts with a part and its drawing, and the goal is a plan a machinist would sign off on. Interns and junior engineers write production code here, and you'll see yours running on parts in your first weeks.

What you will do

• Make the engine better at reading technical drawings, including dimensions, tolerances, surface finishes and notes.
• Work on finding machining features in 3D CAD models and turning them into operations.
• Build out the evaluation sets. That means collecting parts and expected results, and running accuracy checks so we know whether a change helped or hurt.
• Work with the local language models in the product, and know when a plain deterministic algorithm does the job better.
• Write tests, read profiles and speed up whatever is slow.

What you bring

• Strong Python. You've built something with it, at school, at work or on your own.
• Machine learning fundamentals and hands-on time with PyTorch or a similar framework.
• You're studying computer science, mechanical or electrical engineering, physics or maths, or you just graduated.
• You're curious about how physical parts get made.

Strong plus

• 3D or computational geometry, or a geometry kernel like OpenCASCADE.
• Computer vision or document understanding (OCR, layout, reading drawings).
• You've run language models locally.
• Any time spent in a machine shop or using CAD software.