at Shield AI
Location
San Mateo, California
Compensation
$196k–$294k USD
Type
full time
Posted
1 weeks ago
Remote
Yes
Market range · company + function + seniority
p25 · target · p75 · n=201
Posted $294k · above the band
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The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.
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.
Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making
Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)
Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation
Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
Ability to obtain a SECRET clearance or higher
Experience in multiple aerospace domains (e.g., air, land, sea, space)
Experience across a breadth of methodologies from classical control through optimization and applied ML/RL
Background in collaborative behaviors and swarm robotics
Familiarity with domain-relevant DoD or government programs
Hands-on experience supporting integration events, customer demos, and/or live exercises
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