Lead Software Engineer - Autonomy/Physical AI

Responsibilities

• Design and implement high-performance backend systems in C++ for flagship defense autonomy products
• Tackle complex autonomy challenges across multi-domain environments, including unmanned ground and aerial platforms
• Build scalable, reliable infrastructure capable of operating in contested and degraded conditions
• Partner with autonomy researchers, product teams, and defense customers to translate mission requirements into software solutions
• Own end-to-end engineering workstreams from initial architecture through to deployment
• Contribute to the growth of the Ann Arbor site by helping shape technical standards and engineering practices

Requirements

• 6+ years of professional software engineering experience with strong C++ proficiency
• Deep expertise in backend engineering fundamentals, including systems programming, concurrency, and performance optimization
• Experience with distributed systems
• Proficiency in Python for tooling, scripting, and integration
• Strong CS/CE/EE foundation with a focus on correctness and performance
• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

Preferred Qualifications

• Genuine interest in autonomy, robotics, or physical AI
• Experience or strong interest in multi-domain defense systems
• Ability to thrive in ambiguous, fast-moving, and high-stakes environments

Benefits

• Competitive base salary and equity
• Comprehensive health, dental, and vision insurance
• Life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. We service the automotive, defense, trucking, construction, mining, and agriculture industries through tools, operating systems, and autonomy solutions.