Lead Software Engineer Multi Agent Mission Systems
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will set the technical vision and architecture for real-time multi-agent mission systems. You will lead and mentor engineers, direct development of optimization, planning, temporal logic, and constraint-satisfaction capabilities, coordinate cross-team integration, and translate mission needs into technical priorities and delivery commitments.
Requirements
- Master's degree or PhD in a related technical field, or 8+ years developing intelligent agents or planning systems
- 8+ years of modern C++ development experience
- 2+ years leading engineering teams or serving as a technical lead
- Experience with planning, optimization, temporal logic, distributed consensus, or formal verification
- Experience implementing constraint-satisfaction, scheduling, and optimization algorithms
- Experience setting technical direction and delivering complex systems through a team
- Experience with procedural and object-oriented programming
- Experience with Docker, containerized environments, and Linux
- Understanding of service-oriented architecture and broker paradigms
- Experience writing technical documentation and communicating technical tradeoffs
- Experience mentoring engineers and running design and code reviews
- U.S. citizenship
- Eligibility for a U.S. Secret clearance with SAP eligibility
- Willingness to travel approximately 10–20%
Responsibilities
- Drive the technical vision, architecture, roadmap, and delivery execution
- Lead, mentor, and grow engineers
- Run design reviews, set engineering standards, and improve code quality
- Guide design and implementation of multi-agent optimization algorithms
- Direct development of temporal logic and constraint-satisfaction frameworks
- Translate mission needs into technical priorities, scope, and delivery commitments
- Coordinate cross-team integration and manage dependencies
Benefits
- Equity
- Health, dental, vision, life, and disability insurance
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off