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

USD 187,531 - 281,297

About Shield AI

Experience in multiple aerospace domains (e.g., air, land, sea, space)

Responsibilities

• 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.
• 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
• Hands-on experience supporting integration events, customer demos, and/or live exercises
• Background in collaborative behaviors and swarm robotics

Requirements

• 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)
• Familiarity with domain-relevant DoD or government programs
• Experience across a breadth of methodologies from classical control through optimization and applied ML/RL