Staff Engineer, State Estimation

Added
25 days ago
Type
Full time
Salary
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Related skills

slam vio c++11 ukf ekf

📋 Description

  • Research and develop advanced state-estimation and navigation algorithms that enable resilient
  • Design, implement, and deploy production-quality C++ software for embedded robotic systems
  • Develop and maintain rigorous unit, integration, and system-level testing to validate system
  • Build and improve modeling, calibration, and simulation tools supporting inertial and vision-based
  • Design and implement estimation approaches such as Extended Kalman Filters (EKF), Unscented Kalman
  • Contribute to the development and integration of visual-inertial odometry, SLAM, and multi-sensor

🎯 Requirements

  • Master’s degree in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a
  • Professional proficiency in modern C++ (C++11 or newer) and strong object-oriented software design
  • Hands-on experience deploying low-latency C++ applications to embedded Linux platforms.
  • Professional experience designing and implementing state-estimation algorithms, such as EKF, UKF
  • Familiarity with VIO, SLAM, or multi-sensor fusion frameworks such as GTSAM, Ceres, or OpenVINS.
  • Strong understanding of CI pipelines and automated testing frameworks for C++ applications.

🎁 Benefits

  • Annual salary range of $200,000–$300,000, with final compensation influenced by skills, experience
  • Performance bonus opportunity.
  • Equity package for eligible full-time employees.
  • Comprehensive benefits package for eligible full-time employees.
  • Remote work environment within the United States.
  • Opportunity to work on advanced autonomy, state estimation, navigation, sensor fusion, and embedded
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