Staff Engineer Autonomy and Motion Planning
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect, develop, test, and sustain autonomy behaviors for unmanned platforms. You will lead technical delivery, coordinate with integration stakeholders, support mission software across its lifecycle, and help evolve reusable autonomy capabilities.
Requirements
- Bachelor's, master's, or PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field
- Production-level C++ development proficiency
- 7 or more years of experience in scheduling and integration, behavior planning, task allocation, motion planning, optimization, or flight controls
- Experience with version control, issue tracking, code review, and release management
- Ability to lead multidisciplinary teams and manage project lifecycles
- Ability to mentor junior team members
- Ability to own software systems from requirements through sustainment
Responsibilities
- Develop tactical autonomy software for unmanned platforms
- Implement and test behaviors for coordination, target engagement, reconnaissance, and survivability
- Lead software development from requirements through validation
- Develop reusable behavior architectures across projects
- Architect scalable autonomy software subsystems
- Coordinate interface requirements with external and vehicle-integration stakeholders
- Represent software engineering in multi-stakeholder environments
- Travel to end-user and team locations up to 20% of the time