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Staff Engineer, State Estimation (R5783)

Shield AICały światCały świat

Źródło:Remote.com
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano27 września 2026
Wykryte przez nas
Wykryte przez nas28 września 2026
Zarobki
Zarobki200 000 - 300 000 USD

Shield AI is seeking a Staff Engineer to join our team and help build the intelligence that enables autonomous systems to navigate the world with confidence. You will develop cutting-edge estimation and navigation technology, transforming advanced algorithms into high-performance software that powers resilient autonomy in complex, real-world environments.

Key responsibilities

  • Research and develop state-of-the-art state estimation and navigation algorithms to enable resilient autonomy in challenging GPS-denied environments.
  • Design and deploy production-grade C++ software for embedded robotic systems operating in dynamic, real-world environments.
  • Build and maintain rigorous unit, integration, and system-level tests to ensure 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 alongside a multidisciplinary team of autonomy engineers.

Requirements

  • M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related field.
  • Professional proficiency in modern C++ (C++11 or newer) and 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 such as EKF, UKF, Particle Filters, or graph-based optimization.
  • Strong working knowledge of CI pipelines and automated testing frameworks for C++.

What we offer

  • Opportunity to work on cutting-edge autonomous systems.
  • Collaborative environment with a multidisciplinary team of experts.
  • Focus on high-impact, real-world robotics challenges.
  • Continuous professional development and innovation-driven culture.

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