Inactive
S

Shield AI

Builds autonomous aircraft for defense

Senior Manager - Perception

Engineering LeadershipPosted on Jul 27
Full-timeIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
  • Ability to develop, benchmark, debug, and deploy software-based algorithms.
  • At least 10 years of related experience with a bachelor's degree, 9 years with a master's degree, 8 years with a PhD, or equivalent work experience.
  • At least 2 years managing technical teams.
  • Demonstrated experience integrating and working with sensor payloads in the Department of Defense space.
  • Proficiency with sensor fusion for noisy, high-bandwidth exteroceptive sensors on compute-constrained systems.
  • A solid foundation in state estimation, object detection, data association, probabilistic robotics, and signal processing.
  • Experience working on projects with 10 or more contributors.
  • Comfort working in Unix environments.
  • Ability to obtain a Secret clearance.

Responsibilities

  • 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 stakeholder communication.
  • Write production-quality software in C++.
  • Produce an Assured Position, Navigation, and Timing system to enable reliable autonomy in GNSS-degraded or denied environments.
  • Extend and specialize the state estimation framework for new sensors, platforms, and missions.
  • Write test code to validate software with simulated and real-world data.
  • Collaborate with hardware and test teams to validate algorithms and code on aerial platforms.
  • Write analyzers to ingest data and produce statistics to validate code quality.
  • Enhance sensor models within a high-fidelity simulation environment.
  • Enhance analysis and benchmarking capabilities in a continuous development environment.

Desired Qualifications

  • A master's degree or higher in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
  • Understanding of robotics technologies related to autonomous behavior development, such as task allocation or planning.
  • Understanding or experience with unmanned system technologies and associated algorithms, specifically in the air domain.
  • Familiarity with high-fidelity simulation and sensor modeling.
  • Working knowledge of Kalman filters, factor graphs, and other modern estimator fundamentals.
  • Strong working knowledge of computer vision and hands-on experience with OpenCV or similar computer vision libraries.
  • Experience developing sensor effects (control) algorithms.
  • Hands-on experience developing or implementing state-of-the-art object detection and recognition pipelines.
  • Active Secret clearance.
  • Experience with UCI and OMS standards.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

Recently Posted Jobs

Explore more opportunities at Shield AI

See more jobs