Staff Engineer, State Estimation

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct research and develop cutting-edge state estimation and navigation algorithms to ensure resilient autonomy in challenging environments devoid of GPS.

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

• Establish and uphold unit, integration, and system-level tests to ensure system robustness and safety.

• Innovate and refine modeling, calibration, and simulation tools for both inertial and vision-based navigation systems.

• Collaborate on roadmap planning, feature breakdown, and agile execution with a multidisciplinary team focused on autonomy engineering.

• Improve performance analysis, benchmarking, and validation processes to foster innovation and enhancements.

• Develop technologies that support autonomous systems, including Hivemind autonomy software, V-BAT and X-BAT aircraft, along with Aechelon simulation and synthetic reality technologies.

⛳️ Requirements

• A Master's degree in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related discipline; a minimum of 2+ years of relevant professional experience with an M.S. degree, or no experience required for new Ph.D. graduates.

• Professional expertise in modern C++ (C++11 or later).

• Strong skills in object-oriented design.

• Practical experience in deploying low-latency C++ applications on embedded Linux platforms.

• Professional background in designing and implementing state estimation algorithms, including EKF, UKF, Particle Filters, or graph-based optimization techniques.

• 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++.

• Capability to independently deploy high-reliability code for real-world autonomous systems.

• Familiarity with prototyping in Python or MATLAB is a plus.

• In-depth understanding of graph-based optimization for state estimation.

• Experience in the development of vision-aided inertial navigation systems, including VINS, VIO, or Terrain Relative Navigation.

• Experience with navigation sensor calibration for IMUs, GPS, barometers, magnetometers, laser altimeters, or cameras.

• Experience in benchmarking and system validation for navigation performance in real-world scenarios.

• Must possess authorization to work in the United States.

• Position may require compliance with U.S. export control regulations, such as EAR.

🏝️ Benefits

• Bonus.

• Benefits package.

• Equity options.

• Temporary benefits package available after 60 days of employment.

• Equal employment opportunity workplace.

• Accommodations for disabilities or special needs.