3 months ago
Base Salary
$188k - $281k/yr
Responsibilities
- Use multi-objective optimization for distributed decision-making, task allocation, and resource scheduling in coordinated satellite missions.
- Develop weapons target assignment, motion planning, tactical behavior, and information-aware planning capabilities for space vehicles and interceptors.
- Build high-performance, well-tested software modules with clear interfaces for mid-to-high Technology Readiness Level insertions.
- Collaborate with perception, planning, simulation, hardware, and flight-test teams to integrate autonomy solutions onto real-world platforms.
- Deploy capabilities to space vehicles and analyze mission logs to verify software performance and operational effects.
- Research and prototype algorithms, identify tactical capability gaps, and contribute to autonomy roadmaps.
- Lead technical delivery, help customers define requirements and technical approaches, and drive execution for complex autonomy capabilities.
- Travel approximately 10–15% of the year to offices, customer sites, and flight integration events.
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 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 in robotic technology areas such as control systems, motion planning, optimization, tactical behaviors, or distributed decision-making.
- Significant experience with unmanned systems and related algorithms, ideally in the space domain.
- Experience with simulation tools and environments such as AFSIM or NGTS for testing and validation.
- Ability to troubleshoot and optimize system performance in a collaborative, multidisciplinary environment.
- Ability to obtain a SECRET clearance or higher.
- Preferred qualifications include experience across multiple aerospace domains, classical control through optimization and applied ML/RL, collaborative behaviors and swarm robotics, DoD or government programs, and integration events or live exercises.
Benefits
- Full-time regular employees receive benefits, bonus eligibility, and equity.
- The role typically involves approximately 10–15% travel to office locations, customer sites, and flight 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.