Senior Software Engineer, Autonomy Capabilities (R5339)
at Shield AI
- Location
- San Mateo, California — US
- Mode
- On-site
- Level
- Senior
- Posted
- Sep 1, 2026
- Salary
- $196k–$294k
You’ll apply on the company’s own site.
- c++
- python
- reinforcement-learning
- control-systems
- motion-planning
- optimization
- robotics
- unmanned-systems
Pay context
Senior ML Engineering roles on this board that post annual USD salaries: median $230k, middle half $212k–$279k, across 230 postings from 39 companies. The midpoint of this role's posted range sits about 7% above that median.
Hiring at Shield AI
155 open AI roles listed here · 55 added in the past 30 days · 6 remote.
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.
What You'll Do:
Required Qualifications:
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
- Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
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Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
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Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making
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Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)
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Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation
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Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
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Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
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Ability to obtain a SECRET clearance or higher
Preferred Qualifications:
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Experience in multiple aerospace domains (e.g., air, land, sea, space)
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Experience across a breadth of methodologies from classical control through optimization and applied ML/RL
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Background in collaborative behaviors and swarm robotics
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Familiarity with domain-relevant DoD or government programs
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Hands-on experience supporting integration events, customer demos, and/or live exercises
You’ll apply on the company’s own site.