Autonomy Engineer- Behavior and Motion Planning (R6007)
At a glance
- Salary
- Not published
- Location
- San Diego, California
- Work type
- On-site
- Posted
- 6d ago
- Verified live
- today
How the pay compares
This posting doesn't publish pay. 1583 of the 2116 AI-engineering roles in the United States on this board do: the middle half pay $191k–$275k, with a median of $231k.
Middle half of the 1583 that publish payMedian10th–90th percentileAnnual, USD
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Job description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
The Pilot team develops the algorithms and production software that enable intelligent systems to decide what to do and how to do it in uncertain, dynamic environments. Our work spans mission and task planning, motion planning, effects and action planning, and learned planning approaches. Depending on the team, you may work at the intersection of artificial intelligence, robotics, optimization, and real-time autonomous systems.
As a member of Behavior and Motion planning team, you will leverage your expertise in robotics to develop, deploy, and optimize path planning algorithms for autonomous systems that operate in complex, real-world environments. You will collaborate with cross-functional teams to deliver robust, scalable solutions that advance the state of Hivemind SDK. You will also contribute to developing technical requirements, test plans, and validating the performance of algorithms.
We are hiring software engineers across multiple experience levels. The scope of the role will be calibrated to the candidate's experience, from implementing and validating well-defined planning components to owning major technical capabilities, shaping architecture and roadmaps, and mentoring other engineers.