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Applied Intuition

Verification and Validation - Lead

Applied Intuition, Mountain View, California, us, 94039

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Verification And Validation - Lead

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. 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. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the Role

We are looking for a V&V lead focused on on-road autonomy and ADAS/autonomous driving. You'll set the technical direction for system validation, lead the team in developing and executing validation strategies for autonomy modules, and ensure the highest standards of performance evaluation and safety case development for L4 trucking and related autonomy projects. At Applied Intuition, You Will:

Lead the development and execution of validation strategies for autonomy modules Oversee the creation of comprehensive test plans for simulation and real world testing Guide engineering teams through validation test plan development Architect solutions for performance analysis and challenging event identification Ensure metrics are mapped to safety cases and reported clearly We're Looking For Someone Who Has:

5+ years of experience in ADAS, autonomous driving, or related technical field MS/BS degree in Robotics, Aerospace, Computer Science, or equivalent Leadership experience with technical teams on system validation projects Deep knowledge of ADAS/AV system architecture and standards (ISO 26262, ISO 21448, UL4600) Collaboration skills with cross-functional teams and industry partners Nice To Have:

Prior technical leadership in autonomous vehicle, ADAS, or aerospace programs Project management experience in AV or robotics fields Experience with safety engineering and requirements management Familiarity with simulation and scripting tools in autonomy systems Advanced degree in engineering, robotics, or a related technical field Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $199,295 to $264,500 USD annually.