Hardware Integration Engineer

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self‑Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 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, Bangalore, Seoul, and Tokyo. Learn more at

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.

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Note:

For Epi Sci job openings, fully remote work will be considered by exception.)

We are looking for a Hardware Integration Engineer to work directly with our hardware team on the buildout, testing, maintenance and improving our utilization rate of the fleet. Through your daily interactions with all aspects of the self‑driving system, you will be the lead technical reference for the system. You will work directly with our hardware engineers, engineering technicians, operators and safety drivers.

• Be the subject matter expert for Applied’s autonomous vehicles by building a deep familiarity with all aspects of the system.
• Provide vehicle integration support across the organization by designing, prototyping, and installing proof‑of‑concept systems and sensors under evaluation.
• Lead and support the vehicle from the build‑out phase through delivery to our operations team, including final bring‑up and shakedown testing.
• Design and build test benches to validate mechanical, electrical, embedded and software systems.
• Develop and own documentation as it relates to vehicle integration.
• Troubleshoot the vehicle’s systems, computer components and sensors performing root‑cause analysis.
• Work to minimize vehicle downtime while focused on safety.
• Able to work independently on high‑level dynamically evolving challenges.

• Bachelor of Science in mechanical, electrical or related field.
• 3+ years technical experience in mechanical, electrical, computer, automotive or robotics industry.
• Experience working with AV components:
  Lidars, Radars, Camera, etc.
• Previous experience with low‑volume manufacturing in automotive or robotics industry.
• Proven ability to read and understand electrical schematics, datasheets.
• Experience with documenting and maintaining detailed assembly procedures.
• Experience using shop equipment, 3D printers, automotive diagnostic tools.
• Familiarity with CAD (or Solid Works) design process is a plus.
• CNC, machining, metal working and welding experience.
• Experience with automotive repair and maintenance.

• Familiarity with Python or other programming languages.
• Familiarity with ROS and Linux OS.
• Familiarity with programming microcontrollers/microprocessors.

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…