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Shield AI

Builds autonomous aircraft for defense

State Estimation Engineer

Flight Dynamics & GNCPosted on Nov 9
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • Typically requires at least 7 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 4 years with a PhD, or equivalent work experience.
  • Experience developing and deploying real-time sensor-processing algorithms using cameras, radar, inertial measurement units, GPS, or similar sensors.
  • Understanding of state-estimation techniques such as Kalman filters and particle filters.
  • Experience with C++ 11 or newer.
  • Experience with Linux and command-line tools.
  • Ability to obtain an S//SAR-level security clearance.
  • Ability to collaborate effectively with multidisciplinary teams and external stakeholders.
  • Proven ability to ship products, navigate development cycles, overcome obstacles, and deliver high-quality solutions to project deadlines.
  • Demonstrated record of working hard, being a trustworthy teammate, holding oneself and others to high standards, and treating others kindly.

Responsibilities

  • Develop and implement sensor algorithms for processing data from inertial measurement units, radar, cameras, GPS, and other sensors.
  • Enhance state-estimation algorithms by integrating multi-sensor data to improve accuracy and robustness.
  • Design and implement real-time sensor-data processing pipelines.
  • Collaborate with software engineers, autonomy researchers, and hardware engineers to integrate state-estimation algorithms.
  • Conduct experiments and field tests to validate state-estimation algorithm performance in real-world scenarios.
  • Stay current with advancements in sensor technologies and state estimation and apply them to company systems.

Desired Qualifications

  • Experience implementing inertial-navigation algorithms on real-time processing systems.
  • Knowledge of computer-vision techniques.
  • Proficiency optimizing algorithms for compute-constrained systems.
  • Experience with CUDA or other hardware-acceleration technologies such as FPGAs.
  • Proven track record transitioning research and development to production.

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

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