2 months ago
Base Salary
$221k - $331k/yr
Responsibilities
- Lead the technical direction and evolution of maritime autonomy capabilities and architectures across multiple programs.
- Develop advanced motion planning for unmanned surface and underwater vehicles while enforcing safety constraints and maritime operating rules.
- Design localization, tracking, sensor-fusion, observability-aware maneuvering, and multi-agent collaboration capabilities.
- Develop distributed optimization, task allocation, and autonomous behaviors for heterogeneous teams of vehicles.
- Build high-performance, well-tested software modules with clear interfaces suitable for mid-to-high Technology Readiness Level insertions.
- Collaborate with perception, planning, simulation, hardware, and operational test teams to integrate autonomy solutions onto real-world platforms.
- Deploy autonomy capabilities to surface vehicles, support integration and demonstration events, and analyze mission logs.
- Research and prototype algorithms, identify capability gaps, contribute to autonomy roadmaps, and mentor engineers.
- Travel to offices, customer sites, and flight integration events, typically around 25% of the year.
Requirements
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
- At least 10 years of related experience with a bachelor’s degree, 9 years with a master’s degree, 7 years with a PhD, or equivalent work experience.
- Proficiency in C++ and Python and familiarity with real-time operating systems.
- Significant experience with robotics technologies involving motion planning, behavior modeling, decision-making, or autonomous system design.
- Significant experience with unmanned systems and related algorithms.
- Experience with simulation tools and environments such as AFSIM and NGTS for testing and validation.
- Ability to troubleshoot and optimize system performance in multidisciplinary environments.
- Ability to obtain a SECRET clearance.
- Preferred experience includes multiple aerospace domains, classical control, optimization, applied ML/RL, collaborative behaviors, swarm robotics, DoD or government programs, and live integration or demonstration events.
Benefits
- Full-time employees receive pay within the listed range plus bonus, benefits, and equity.
- Temporary employees receive pay within the listed range plus a temporary benefits package applicable after 60 days of employment.
- The role typically involves approximately 25% travel to office locations, customer sites, and integration events.
- Offers are contingent on a cleared background and possible reference check.
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.