Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the 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 Hivemind Pilot team is an agile group of engineers focused on building a state-of-the-art Autonomy Software Development Kit (SDK) that enables resilient autonomy and intelligence for a wide range of platforms in diverse environments. The Task Planning team in Pilot is responsible for enabling executive decision making by an agent or team-of-agents toward achieving complex and diverse missions. Capabilities to enable mission decomposition, task assignment / scheduling across teams of agents, contingency management and attrition handling are developed by this team.
As the Lead for Task Planning, you will lead a group of engineers to solve diverse discrete planning problems enabling execution of complex fully autonomous multi-agent missions on the edge in diverse adversarial environments. You will work closely with talented engineers to architect core systems, set standards for software engineering, drive strategic technical improvements, and mentor other engineers.
What you'll do:
Lead the technical direction and roadmap for a range of discrete planning capabilities including but not limited to robot team management, multi-agent task assignment, scheduling & coordination, intelligent failure handling, intelligent attrition management, and system explainabilityEnable intuitive and easy workflows for SDK customers to develop customizations and extensions to successfully achieve their autonomy objectives and aspirationsServe as the architect for the Task Planning stack to enable modularity, correctness and extensibilityGrow & mentor the autonomy and software engineers in the team via performance feedback, technical guidance and code reviewsEnsure high morale and excitement in the team by connecting day-to-day efforts to the big picture, ensuring alignment of personal goals with company objectives, and actively taking steps to set them up for successGrow the team by identifying gaps and projecting headcount needsLead planning and execution for the team to ensure informed team commitments and timely delivery of those commitmentsWork in close collaboration with other Pilot teams (State-estimation, Object tracking, Path & Motion Planning, Mapping) to ensure correctness and cohesiveness of the overall Pilot productWork in collaboration with Program and Product managers to define a feasible technical roadmap for future autonomy solutions
Required qualifications:
M.S in Computer science, Aerospace or related engineering field9+ years of experience in engineering autonomous systems or equivalent engineering roles3+ years of people leadership experience leading teams of 4+ peopleExperience with discrete planning (preferably in autonomy domain), behavior or motion planningDemonstrated ability to take ideas from academic works, and polish them to enable production ready capabilitiesProficient in software delivery and managing execution toward tight timelinesExperience with C++11 or newer in a production environmentExperience in a collaborative development environment, focused on continuous integration/delivery & test-driven developmentStrong knowledge of modern software engineering best practicesDemonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to othersStrong organizational skills
Preferred qualifications:
Experience in the autonomous vehicle industryPh.D. in Computer science, or related engineering field5+ years of people leadership experienceExperience leading a team that shipped commercial grade productsExperience in productizing prototypes into commercial products
