Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Owns logistics planning, supply support, supportability analysis, maintenance planning, provisioning, spares forecasting, and lifecycle sustainment for autonomous aircraft systems. Performs Maintenance Task Analysis, Logistics Control Number development, Reliability and Maintainability analysis, Level of Repair Analysis support, inventory planning, and repair pipeline tracking. Coordinates with engineering, manufacturing, supply chain, suppliers, and field operations to ensure parts and support resources are available throughout development, production, deployment, and operational sustainment.
Top Skills:
CasaCompassEagleGeia-Std-0007Mil-Hdbk-502AMil-Std-1388Opus10Powerlog JSae Ta-Std-0017SlicwaveUas Logistics Systems
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Integrate and characterize multimodal navigation sensors, including IMUs, GNSS receivers, and cameras, from specification through production. Develop calibration procedures, test plans, data-processing tools, and sensor trade studies. Collaborate across electrical, mechanical, firmware, and software disciplines on interfaces, mounting, thermal and vibration considerations, and sensor fusion implementation. Debug hardware-software issues, review schematics, CAD, and code, and support hands-on laboratory testing. Occasional travel is required for supplier coordination and testing.
Top Skills:
CadCanEmbedded SystemsGnssI2CImusMatlabPythonReal-Time SoftwareSpiUart
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads aircraft reliability engineering across development, integration, testing, and operations. Establishes reliability requirements and budgets, performs FMEA/FMECA, FTA, RBD, Weibull, and reliability prediction analyses, tracks reliability metrics, supports system safety and testing, reviews supplier data, leads FRACAS activities, identifies design improvements, and communicates risks and corrective actions to engineering leadership and customers. Mentors engineers and improves reliability processes.
Top Skills:
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Develops and deploys real-time state estimation and sensor-fusion algorithms for Ranger autonomous systems. Processes IMU, radar, camera, GPS, and other sensor data; builds real-time pipelines; optimizes algorithms for constrained hardware; collaborates with software, autonomy, and hardware teams; and validates solutions through experiments and field testing.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
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 Ranger to operate 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.
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
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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