Verification and Validation Manager - Autonomy Trucking
Applied IntuitionSunnyvale, California, United States$200k – $320kPosted 26 March 2026
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.
Hear from an Engineer:
About the role
We are looking for a Verification and Validation Manager to lead and grow a team responsible for defining and implementing advanced validation strategies for L4 autonomy programs, starting from trucking and expanding to other verticals over time.. You'll set the technical direction, lead, mentor and grow the team, and enable safe deployment of our fleet in the US and Japan.
At Applied Intuition, you will:
Manage and mentor a team of engineers responsible for the validation of autonomy modules
Drive the development and execution of comprehensive validation strategies and test plans, including both simulation and real-world testing activities
Oversee the creation and maintenance of sophisticated metrics mapped to safety cases, ensuring clear reporting and alignment with industry standards
Architect solutions for performance analysis and challenging event identification
Collaborate cross-functionally with other engineering leaders and industry partners to define roadmaps and priorities for validation features and capabilities
Lead recruiting efforts to grow the validation team with top talent
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 autonomy 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 and management 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
PhD 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 var ... (truncated, view full listing at source)
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