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Staff Engineer, State Estimation

🕒 Outubro 29

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Publicada na página de carreiras da Shield AI, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Outubro 29

Ainda aberta no site da Shield AI. Verificada 3 horas atrás.

Logo of Shield AI

Shield AI

501 - 1000 funcionários

Fundada em 2015

🤖 Inteligência Artificial

🚀 Aeroespacial

🎖️ Defesa

Artificial Intelligence • Aerospace • Defense

A Shield AI é uma das principais desenvolvedoras de soluções militares impulsionadas por IA, focada em aprimorar a autonomia das missões e a consciência situacional no campo de batalha. Sua plataforma, Hivemind, permite a rápida implantação de sistemas inteligentes para diversas aplicações de defesa, incluindo operação de drones e vigilância. Com um compromisso em utilizar tecnologia avançada, a Shield AI visa proteger membros do serviço e civis, revolucionando tecnologias de defesa por meio de sistemas autônomos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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