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 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 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.
You have a 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.
- 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
