Senior Staff Engineer for Maritime Autonomy Capabilities
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead technical direction for maritime autonomy capabilities across multiple programs. You will develop motion planning, localization, tracking, safety, distributed optimization, and task-allocation capabilities for unmanned surface and underwater vehicles. You will integrate and test well-engineered software on real platforms, analyze mission data, mentor engineers, and support demonstrations and integration events.
Requirements
- 10 years of related experience with a bachelor's degree, 9 years with a master's degree, or 7 years with a PhD
- Proficiency in C++ and Python
- Familiarity with real-time operating systems
- Background in robotics motion planning, behavior modeling, decision-making, or autonomous-system design
- Experience with unmanned-system technologies and algorithms
- Experience with AFSIM or NGTS simulation environments
- Ability to obtain a Secret clearance
Responsibilities
- Develop motion planning for unmanned surface and underwater vehicles
- Apply safety constraints for keep-out volumes, vehicles, and depth limitations
- Develop passive and active localization and tracking approaches
- Build autonomy behaviors that provide run-time assurance and COLREGS adherence
- Develop distributed optimization and task-allocation approaches for heterogeneous multi-agent teams
- Develop tested high-performance software modules with clear interfaces
- Collaborate with perception, planning, simulation, hardware, and operational-test teams
- Deploy autonomy capabilities to surface vehicles and support integration events
- Analyze mission logs to verify software performance
- Research, prototype, and roadmap new autonomy algorithms
- Lead technical direction and mentor engineers
- Travel to office locations, customer sites, and integration events
Benefits
- Bonus
- Equity