Validation Engineer

Applied Intuition
Sunnyvale, California, United States$140k – $220kPosted 7 April 2026

Tech Stack

Job Description

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role We are looking for a skilled Validation Engineer to join our team. This role involves validating system requirements, developing and executing test cases, and working cross-functionally with our systems engineering and development teams. This is a unique opportunity to work on challenging engineering problems while ensuring we maintain a high standard for safety and quality in our product. At Applied Intuition, you will: Design, develop, and execute test cases derived from system requirements using HIL test benches, Lab Cars, and manual vehicle testing Perform system and integration testing across key automotive subsystems, including infotainment, telematics, cameras, sensors, and in‑vehicle networking Set up, configure, and maintain HIL test environments to validate system functionality and performanc Analyze test failures, perform root cause analysis, and collaborate with engineering teams to debug and resolve issues efficiently Work closely with OEM partners, supporting integration of OEM functions and communicating test results, risks, and issues clearly Conduct hands‑on validation testing on vehicles and prototypes to ensure all functional and safety requirements are met Develop and maintain Python-based test automation scripts to improve test coverage, repeatability, and efficiency Document test procedures, results, and findings, including issue tracking and failure analysis We’re looking for someone who has: 2+ years of hands-on experience in validation engineering within the automotive, embedded systems, or electronics industries Proficiency with HIL systems and experience in validating automotive systems, such as infotainment, ADAS, telematics, sensors, and networking Experience coding in Python (preferred) or another coding language for test automation and script development Strong troubleshooting and analytical skills with the ability to identify, root cause, and resolve system-level failures Ability to document test procedures, results, and progress clearly and accurately, including issue tracking and test failure analysis Bachelors in Computer Science, Engineering or any equivalent majors Nice to have: Experience with automotive network architectures and protocols (e.g., CAN, Ethernet, LIN, Flexray, etc.) and the ability to validate system-level performance Hands-on experience with Vector CANoe, dSPACE ControlDesk etc. for automotive system validation and testing Experience with prototype system bring-up, debugging, and validation in both lab and vehicle environments Familiarity with test automation frameworks, particularly for automotive systems, and experience developing robust automated test ... (truncated, view full listing at source)
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