Staff Engineer, State Estimation

Accountabilities • Research and develop advanced state-estimation and navigation algorithms that enable resilient autonomy in challenging and GPS-denied environments.

• Design, implement, and deploy production-quality C++ software for embedded robotic systems operating in dynamic real-world conditions.

• Develop and maintain rigorous unit, integration, and system-level testing to validate system robustness, reliability, and safety.

• Build and improve modeling, calibration, and simulation tools supporting inertial and vision-based navigation systems.

• Design and implement estimation approaches such as Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), particle filters, and graph-based optimization.

• Contribute to the development and integration of visual-inertial odometry, SLAM, and multi-sensor fusion capabilities.

• Analyze system performance and develop benchmarking and validation processes to identify opportunities for improvement.

• Contribute to technical roadmaps, feature decomposition, planning, and agile execution alongside a multidisciplinary autonomy engineering team.

• Develop software and algorithms capable of meeting the latency, reliability, and computational requirements of embedded autonomous systems.

• Continuously improve performance analysis, benchmarking, simulation, and validation pipelines to accelerate development and innovation.

• Collaborate with other engineering disciplines to translate navigation and estimation requirements into reliable production capabilities.

Requirements

• Master’s degree in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical discipline with at least 2 years of relevant professional experience , or a newly completed Ph.D. in a related field.

• Professional proficiency in modern C++ (C++11 or newer) and strong object-oriented software 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.

• 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.

• Ability to independently develop and deploy high-reliability software suitable for real-world autonomous systems.

• Strong software engineering practices, including testing, debugging, performance analysis, and maintainable code design.

• Experience working with robotics, navigation, autonomy, or embedded systems is highly relevant.

• Python or MATLAB experience for prototyping is welcome, but professional C++ production deployment experience is essential.

• Deep understanding of graph-based optimization for state estimation is preferred.

• Experience developing vision-aided inertial navigation systems, including VINS, VIO, or Terrain Relative Navigation, is advantageous.

• Experience calibrating navigation sensors such as IMUs, GPS, barometers, magnetometers, laser altimeters, or cameras is preferred.

• Experience benchmarking and validating navigation performance on real-world systems is a plus.

• Strong analytical and problem-solving skills with the ability to work independently on technically complex challenges.

• Effective communication and collaboration skills within multidisciplinary engineering teams.

Benefits

• Annual salary range of $200,000–$300,000 , with final compensation influenced by skills, experience, certifications, and work location.

• 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 robotics.

• Exposure to complex real-world challenges involving GPS-denied navigation and resilient autonomous systems.

• Collaboration with multidisciplinary engineers working across algorithms, software, robotics, and autonomous systems.

• Opportunity to transform advanced research and estimation algorithms into production-grade systems.

• Temporary employees may receive a temporary benefits package after 60 days, subject to applicable eligibility requirements.

• Offers are contingent upon a cleared background and, where applicable, reference checks.

• Equal employment opportunity and reasonable accommodation support.

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