11 days ago
Base Salary
$221k - $331k/yr
Responsibilities
- Develop advanced motion-planning capabilities for USVs and UUVs while accounting for safety constraints, obstacles, other vehicles, and depth limitations.
- Build localization, tracking, sensor-fusion, and observability-aware maneuvering capabilities for single- and multi-agent systems.
- Develop safe autonomous behaviors, runtime assurance, COLREGS adherence, and operator-trust features for maritime operations.
- Create distributed optimization, task-allocation, and heterogeneous multi-agent collaboration capabilities.
- Develop 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 platforms.
- Deploy capabilities to surface vehicles, support integration and demonstration events, and analyze mission logs to validate performance.
- Research algorithms, identify tactical capability gaps, prototype solutions, and contribute to autonomy roadmaps.
- Travel approximately 25% of the year to offices, customer sites, and integration events.
Requirements
- BS or MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
- Typically 7 years of related experience with a bachelor's degree, 6 years with a master's degree, or 4 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-system technologies 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 a multidisciplinary environment.
- Ability to obtain a SECRET clearance.
- Preferred qualifications include experience across multiple aerospace domains, classical control, optimization, applied ML/RL, collaborative behaviors, swarm robotics, DoD or government programs, and customer demonstrations or live exercises.
Benefits
- Full-time regular employees receive pay within the listed range, bonus, benefits, and equity.
- Temporary employees receive the applicable temporary benefits package after 60 days of employment.
- The role is full-time and typically requires approximately 25% travel.
- 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.