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Senior Engineer (State Estimation)
Shield AI · Dallas, United States
About The Role
Join our team as a Senior Engineer specializing in State Estimation. In this role, you will develop and implement advanced sensor algorithms, enhance state estimation algorithms, design real-time sensor data processing pipelines, and collaborate with cross-functional teams. You will also conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios. This position offers excellent medical coverage, mental health support, paid parental leave, pet insurance, flexible work hours, and more.
- Développer et mettre en œuvre des algorithmes avancés de traitement des données des capteurs.
- Améliorer les algorithmes d'estimation d'état en intégrant les données multi-capteurs.
- Collaborer avec des équipes interfonctionnelles pour assurer l'intégration des algorithmes.
- 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
- 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
- Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc
- Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders
- You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
- Experience with Linux, command line tools, etc
- Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc
- Ability to obtain a S//SAR level security clearance desired
- Experience with C++ 11 or newer
- Knowledge of computer vision techniques
- Experience in implementing inertial navigation algorithms on real-time processing systems
- Proficiency in optimizing algorithms for compute-constrained systems
- Proven track record of transitioning from R&D to production
- Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs)
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