11 days 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
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide.