# Hardware Engineer, Mechatronics at Applied Intuition

- Company: Applied Intuition
- What the company does: Applied Intuition powers physical AI, automating machines across automotive, defense, trucking, mining, construction, & agriculture. Backed by General Catalyst, Kleiner Perkins and a16z.
- Company website: https://www.appliedintuition.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Sunnyvale
- Work setup: On-site
- Pay: $180K to $300K base salary per year (USD)
- Posted: 2026-09-23
- Apply by: 2026-11-07
- Apply: https://jobs.ashbyhq.com/Applied/0820cc79-9305-43d3-836e-2c9654afb39e
- Page: https://www.1752.vc/careers/jobs/applied-intuition-hardware-engineer-mechatronics/

## About the role

Applied Intuition is building a robot learning platform on Dana, its physical AI platform: the data infrastructure and training intelligence a company needs to make any robot learn an industrial task and keep improving it. The robotics team builds that platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots doing real industrial tasks. Everyone on the team works hands-on with hardware and sees their work reach customers.

## What they're looking for

- Designed, assembled, and deployed mechatronic or robotic hardware that has operated reliably outside a CAD model or a bench test
- Strong CAD skills and hands-on experience with rapid prototyping, machining or fabrication vendors, mechanical assembly, and design iteration
- Practical understanding of loads, stiffness, tolerances, fasteners, cable routing, and the tradeoffs in mounting sensors and actuators
- Experience with low-voltage power, connectors, harnesses, and electrical troubleshooting with a multimeter and oscilloscope
- Experience writing test procedures, bills of materials, assembly instructions, and maintenance documentation for physical systems
- Careful judgment around robot hazards and comfort working across mechanical, electrical, controls, and software boundaries

Tags: Robotics