2 months 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
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.