Senior Engineer, State Estimation
Develop and optimize real-time multi-sensor fusion and state estimation algorithms (Kalman/particle filters, IMUs, radar, cameras) for autonomous X-BAT VTOL drone operation in contested environments on the GNC team.
About the job
What You'll Do
- Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors.
- Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness.
- Design and implement real-time sensor data processing pipelines.
- Collaborate with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms.
- Conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios.
- Stay updated with the latest advancements in sensor technologies and state estimation, applying them to our systems.
Required Qualifications
- Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
- Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc.
- Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc.
- Experience with C++ 11 or newer.
- Experience with Linux, command line tools, etc.
- Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders.
- Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.
- Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
- Ability to obtain a S//SAR level security clearance desired.
Preferred Qualifications
- Experience in implementing inertial navigation algorithms on real-time processing systems.
- Knowledge of computer vision techniques.
- Proficiency in optimizing algorithms for compute-constrained systems.
- Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs).
- Proven track record of transitioning from R&D to production.
Skills
C++, Kalman Filters, Particle Filters, State Estimation, Sensor Fusion, Imu, Radar, Computer Vision, CUDA, Linux, Inertial Navigation
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