Staff Engineer Autonomy Capabilities Maritime

Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.

San Diego, United States
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.

View jobs by Shield AI

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop and deploy autonomy capabilities for unmanned maritime vehicles and cooperating aircraft. You will lead motion planning, localization, tracking, safety, multi-agent coordination, software integration, testing, and technical delivery for operational systems.

Requirements

  • Bachelor's or master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent experience
  • At least 7 years of related experience with a bachelor's degree, 6 years with a master's degree, or 4 years with a PhD
  • C++ and Python proficiency
  • Familiarity with real-time operating systems
  • Experience in robotics motion planning, behavior modeling, decision-making, or autonomous-system design
  • Experience with unmanned-system technologies and algorithms
  • Experience with AFSIM, NGTS, or similar simulation environments
  • Ability to obtain a Secret clearance

Responsibilities

  • Develop autonomy capabilities for USVs, UUVs, and cooperating UAVs
  • Automate vehicle maneuvering with motion planning and safety constraints
  • Develop localization, tracking, sensor-fusion, and observability-aware capabilities
  • Implement run-time assurance and COLREGS-compliant behaviors
  • Develop distributed optimization and task-allocation approaches
  • Develop tested software modules for high-TRL integrations
  • Collaborate with perception, planning, simulation, hardware, and operational-test functions
  • Deploy capabilities to surface vehicles and analyze mission logs
  • Research and prototype algorithms for autonomy roadmaps
  • Travel approximately 25% of the year

Benefits

  • Bonus
  • Equity
Staff Engineer Autonomy Capabilities Maritime at Shield AI | JobStash