Staff Engineer, State Estimation

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

📋 Description

• Conduct research and create state estimation and navigation algorithms aimed at achieving resilient autonomy in challenging environments where GPS is unavailable.

• Design and implement production-ready C++ software for embedded robotic systems functioning in dynamic, real-world settings.

• Develop and sustain unit, integration, and system-level tests to ensure robustness and safety.

• Create and improve modeling, calibration, and simulation tools for inertial and vision-based navigation systems.

• Contribute to the planning of roadmaps, feature breakdowns, and agile execution in collaboration with a multidisciplinary team focused on autonomy engineering.

• Improve performance analysis, benchmarking, and validation processes.

• Convert advanced algorithms into high-performance software that drives resilient autonomy.

⛳️ Requirements

• A Master’s degree in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related discipline; at least 2 years of relevant professional experience with a Master’s degree, or no experience if a recent Ph.D. graduate.

• Expertise in modern C++ programming (C++11 or later).

• Proficient in object-oriented design principles.

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

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

• 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++.

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

• Familiarity with prototyping utilizing Python or MATLAB.

• Preferred: in-depth knowledge of graph-based optimization for state estimation.

• Preferred: experience in developing vision-aided inertial navigation systems (VINS, VIO, Terrain Relative Navigation).

• Preferred: experience with navigation sensor calibration.

• Preferred: experience in benchmarking and validating system performance in real-world navigation scenarios.

• Offers contingent upon a cleared background check and possible reference verification.

🏝️ Benefits

• Bonus opportunities.

• Comprehensive benefits package.

• Equity participation.

• Temporary benefits package available after 60 days of employment for temporary staff.