Staff Software Engineer (Autonomy Capabilities, Space)

Join Shield AI as a Staff Software Engineer in the Autonomy Capabilities Team, where you'll develop cutting-edge autonomy capabilities for space applications. You'll lead the technical delivery of complex autonomy solutions, collaborate with cross-functional teams, and contribute to R&D and road-mapping efforts. This position offers excellent benefits, competitive compensation, and the opportunity to work on impactful projects in the defense industry.

- This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts
- An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
- Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making
- Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
- Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation
- Ability to obtain a SECRET clearance or higher
- Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
- Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
- Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
- Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)
- Hands-on experience supporting integration events, customer demos, and/or live exercises
- Background in collaborative behaviors and swarm robotics
- Familiarity with domain-relevant DoD or government programs
- Experience across a breadth of methodologies from classical control through optimization and applied ML/RL
- Experience in multiple aerospace domains (e.g., air, land, sea, space)