Applied Intuition equips engineering and product development teams with software that makes it faster, safer, and easier to bring autonomy to market.
Take your career forward at Applied. Working on a growing team in a fast-paced environment means that you will have significant ownership of your projects from day one with mentorship from industry veterans.
Applied Intuition, Inc. Grows to $6 Billion Valuation, Securing $250 Million in Series E Funding to Advance Vehicle Software and AI Capabilities
Read pressPorsche partners with Applied Intuition to develop and deploy vehicle software
Read pressHelp improve the reliability of Vehicle OS by architecting and implementing automated HIL firmware validation, tooling, and coverage reporting for a leading vehicle intelligence company.
Applied Intuition is hiring an Engineering Manager to lead planning and controls engineering for L4 autonomous trucks, owning architecture, team growth, and delivery of safety-critical motion systems.
Lead technical customer engagements and own account strategy to drive adoption and success of Applied Intuition’s autonomy products with major enterprise clients.
Work at Applied Intuition as a new-grad Software Integration Engineer developing full-system C/C++ integrations between software and vehicle hardware for customer delivery.
Applied Intuition is hiring a Legal Operations Manager to lead legal technology, CLM and procurement system implementations and drive AI-enabled process improvements at its Mountain View HQ.
Applied Intuition is hiring a Business Development Lead in Ann Arbor to drive DoD ground vehicle and autonomy capture strategies and partnerships across Army, USMC, and SOCOM portfolios.
Lead and scale Applied Intuition’s global supply chain, driving procurement, manufacturing, logistics, and inventory strategies to support mission-critical AV/ADAS programs and rapid company growth.
Applied Intuition is recruiting researchers and engineers experienced in autonomy, perception, and simulation to help bridge cutting-edge research and production self-driving systems.