Lead Software Engineer - Physical AI (Defense)
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.
About The Role
Applied Intuition is redefining vehicle intelligence across commercial and defense sectors. As a Lead Engineer, your responsibilities will look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high stakes projects. You'll be the technical bridge between Applied Intuition's novel vehicle intelligence platforms and our customers' real-world operational environments. This role demands both technical depth and operational excellence. You'll primarily work with defense and government customers, integrating our capabilities, Axion and Acuity with DOD platforms in challenging operational environments. The unique advantage: you'll leverage our robust commercial technology and rapidly evolving product suite to deliver capabilities that would take traditional defense contractors years to develop. You'll tackle problems spanning core software engineering, system deployment, hardware integration, and everything in between to ensure mission success.
Requirements
- Tech Lead for Forward Deployed Engineering Team
- Work Directly with Defense and Government Customers
- Deploy, Integrate, and Operationalize Applied Intuition's Vehicle Intelligence Products
- Support Integration and Deployment of Complex Systems
- Technical Expertise in Software Engineering, Operating Systems, and Hardware Integration
- Problem-Solving Skills and Independent Innovation
- Excellent Communication Skills
Qualifications
- 6+ Years Professional Software Engineering Experience
- Strong Engineering Background, Preferred in Computer Engineering, Computer Science, Electrical Engineering
- Demonstrated Proficiency in Programming Languages such as C++, Python
- Broad Technical Experience Across Software Engineering, Operating Systems, and Some Hardware
- Experience Supporting Integration and Deployment of Complex Systems
- Exceptional Problem-Solving Skills and Proven Ability to Thrive and Innovate Independently Within Highly Ambiguous and Rapidly Evolving Operational Environments
- Excellent Communication Skills and Focus on Solving Customer Problems
Skills
- Technical Leadership
- Software Engineering
- Operating Systems Configuration
- System Deployment
- Hardware Integration
- Customer Engagement and Project Execution
- Architectural Solutions Design
- Collaboration with Internal Teams
Benefits
- Base Salary
- Equity (Options and Restricted Stock Units)
- Comprehensive Health, Dental, Vision, Life, and Disability Insurance
- 401(k) Retirement Benefits with Employer Match
- Learning and Wellness Stipends
- Paid Time Off
Pay
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. 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.
Compensation Range
$150,000 - $225,000 USD annually.