Hardware Test Engineer
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will validate automotive-grade PCB designs through board-level testing and prototype hardware characterization. You will use lab equipment to measure board performance, automate test routines, analyze and document results, and support board bring-up and root-cause analysis. You will interpret OEM test protocols, maintain lab setups, and improve reusable test infrastructure.
Requirements
- BS or MS in Electrical Engineering or Computer Engineering
- 2–6 years of hands-on experience in board-level testing and validation
- Experience using lab test equipment including oscilloscopes, logic analyzers, and power meters
- Familiarity with thermal, structural, and electrical stress testing
- Experience with test automation using Python, LabView, or similar tools
- Familiarity with vehicle or consumer electronics validation flows
- Documentation and communication skills
- Exposure to automotive, agriculture, construction, or defense OEM or Tier 1 supplier test protocols
- Ability to read schematics and debug at component level
Responsibilities
- Execute and improve validation test plans for custom automotive PCBs
- Characterize board performance using lab equipment
- Automate lab equipment and test routines using Python or similar scripting languages
- Analyze and document results for internal teams and external customers
- Collaborate on board bring-up and root-cause analysis
- Interpret and follow OEM test protocols
- Maintain lab setups and improve test efficiency with reusable infrastructure