Staff Engineer, State Estimation

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

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Shield AI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🤖 Artificial Intelligence

🚀 Aerospace

🎖️ Defense

Artificial Intelligence • Aerospace • Defense

Shield AI is a leading developer of AI-driven military solutions, focusing on enhancing mission autonomy and battlefield awareness. Their platform, Hivemind, enables rapid deployment of intelligent systems for various defense applications, including drone operation and surveillance. With a commitment to utilizing advanced technology, Shield AI aims to protect service members and civilians by revolutionizing defense technologies through autonomous systems.

📋 Description

• Research and develop state-of-the-art state estimation and navigation algorithms for resilient autonomy in challenging GPS-denied environments • Design and deploy production-grade C++ software for embedded robotic systems in dynamic, real-world environments • Build and maintain unit, integration, and system-level tests for system robustness and safety • Develop and enhance modeling, calibration, and simulation tools for inertial and vision-based navigation systems • Contribute to roadmap planning, feature decomposition, and agile execution with a multidisciplinary autonomy engineering team • Enhance performance analysis, benchmarking, and validation pipelines to drive innovation and improvement • Develop technology supporting autonomous systems, including Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies

🎯 Requirements

• M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related field; minimum 2+ years of related professional work experience with an M.S. degree, or 0 years if a new Ph.D. graduate • Professional proficiency in modern C++ (C++11 or newer) • Strong object-oriented design skills • Hands-on experience deploying low-latency C++ applications to embedded Linux platforms • Professional experience designing and implementing state estimation algorithms, including EKF, UKF, Particle Filters, or graph-based optimization • Familiarity with VIO, SLAM, or multi-sensor fusion frameworks such as GTSAM, Ceres, or OpenVINS • Strong working knowledge of CI pipelines and automated testing frameworks for C++ • Ability to independently deploy high-reliability code for real-world autonomous systems • Familiarity with prototyping in Python or MATLAB is welcome • Deep understanding of graph-based optimization for state estimation • Experience developing vision-aided inertial navigation systems, including VINS, VIO, or Terrain Relative Navigation • Experience with navigation sensor calibration for IMU, GPS, barometers, magnetometers, laser altimeters, or cameras • Experience in benchmarking and system validation for real-world navigation performance • Must be authorized to work in the United States • Position may require eligibility under U.S. export control requirements, such as EAR

🏖️ Benefits

• Bonus • Benefits • Equity • Temporary benefits package applicable after 60 days of employment • Equal employment opportunity workplace • Accommodation for disabilities or special needs

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