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Salary
$160k – $350k per year
Location
In office (Dallas)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Shield AI is an American defence technology company founded in 2015 that builds autonomy software and uncrewed aircraft for military missions. Its Hivemind autonomy stack lets aircraft fly, navigate and complete objectives without GPS, a remote pilot or a communications link, which matters in contested environments where those links are jammed. Headquartered in San Diego, California, the company fields the V-BAT vertical take-off aircraft with United States and allied forces, licenses Hivemind to other manufacturers and is developing the X-BAT jet for high-end missions.

Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (X-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. As a State Estimation Engineer, you will work on the GNC team to develop and optimize algorithms that process and fuse data from various sensors to provide accurate, reliable state estimates, enabling the X-BAT to operate autonomously in complex and contested environments.

WHAT YOU’LL DO:

  • Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors.
  • Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness.
  • Design and implement real-time sensor data processing pipelines.
  • Collaborate with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms.
  • Conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios.
  • Stay updated with the latest advancements in sensor technologies and state estimation , applying them to our systems.

REQUIRED QUALIFICATIONS:

  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
  • Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc.
  • Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc.
  • Experience with C++ 11 or newer
  • Experience with Linux, command line tools, etc.
  • Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders.
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.
  • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
  • Ability to obtain a S//SAR level security clearance desired.

PREFERRED QUALIFICATIONS:

  • Experience in implementing inertial navigation algorithms on real-time processing systems
  • Knowledge of computer vision techniques
  • Proficiency in optimizing algorithms for compute-constrained systems
  • Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs)
  • Proven track record of transitioning from R&D to production
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