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.

• Lead the technical delivery of complex autonomy capabilities, combining deep technical expertise with systems-level thinking to deliver scalable and operationally ready autonomy solutions.
• Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions.
• Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.

• 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)