Senior Manager, Perception (r3634)

Shield AI Shield AI · Defense · Washington, DC +3 · Flight System Integration

Senior Manager for Perception team at Shield AI, a defense-tech company. The role involves leading teams in software development at the intersection of state estimation, sensor fusion, AI/ML, and machine perception for aerospace, defense, and robotics systems. Responsibilities include developing and integrating perception algorithms, writing production C++ code, producing A-PNT systems, extending state estimation frameworks, writing test code, and collaborating with hardware teams. Requires experience managing technical teams and integrating sensor payloads in the DoD space, with a strong foundation in state estimation, object detection, and probabilistic robotics.

What you'd actually do

  1. Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication.
  2. Write production quality software in C++
  3. Produce an Assured Position, Navigation, and Timing (A-PNT) system to enable reliable autonomy in GNSS-degraded or denied environments
  4. Extend and specialize Shield AI’s state-of-the-art state estimation framework for new sensors, platforms, and missions
  5. Write test code to validate your software with simulated and real-world data

Skills

Required

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Ability to develop, benchmark, debug, and deploy software-based algorithms
  • Demonstrated problem solving skills by applying a scientific approach
  • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 8 years with a PhD; or equivalent work experience
  • 2+ years managing technical teams.
  • Demonstrated experience integrating and working with sensor payloads in the DoD space
  • Proficient with sensor fusion for noisy high-bandwidth exteroceptive sensors on compute-constrained systems
  • A solid foundation in theory related to state estimation, object detection, data association, probabilistic robotics, and signal processing.
  • Experience working projects with 10+ contributors
  • Offers Fast, efficient, effective problem solving approaches
  • Exceptional collaborator and communicator
  • Comfortability within Unix environments
  • Hard-working, trustworthy teammate
  • Exhibits holding themselves and others to high standards
  • Being kind to others
  • Ability to obtain a SECRET clearance

Nice to have

  • MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Understanding of robotics technologies related to autonomous behavior development e.g. task allocation or planning.
  • Understanding/Experience with unmanned system technologies and accompanying algorithms (specifically air domain)
  • Familiarity with high-fidelity simulation and sensor modeling
  • Working knowledge of Kalman Filter, Factor Graphs and other modern estimator fundamentals.
  • Strong working knowledge of Computer Vision with hands-on experience with OpenCV or similar CV libraries.
  • Experience developing sensor effects (control) algorithms.
  • Hands-on experience developing or implementing state of the art object detection/recognition pipelines.
  • Active SECRET clearance
  • Experience with UCI and OMS Standards

What the JD emphasized

  • 10+ years of experience
  • 2+ years managing technical teams
  • Demonstrated experience integrating and working with sensor payloads in the DoD space
  • Proficient with sensor fusion for noisy high-bandwidth exteroceptive sensors on compute-constrained systems
  • A solid foundation in theory related to state estimation, object detection, data association, probabilistic robotics, and signal processing.

Other signals

  • applying advanced AI solutions to real hardware systems
  • develop cutting-edge technology onto real hardware
  • extend and specialize Shield AI’s state-of-the-art state estimation framework