Sr. Manager - Navigation and State Estimation Engineering (R3035)
Shield AI
What You'll Do:
- Lead and mentor a high-performing team delivering robust navigation and state estimation solutions for autonomous aerial systems.
- Drive the technical roadmap, balancing near-term deliveries with long-term innovation.
- Architect and review solutions in state estimation, sensor fusion, inertial and vision-aided navigation.
- Maintain high standards of C++ software quality, system validation, and integration performance.
- Collaborate with cross-functional teams to ensure successful simulation, HITL, and flight test validation.
- Support hiring, team growth, career development, and external technical representation.
Required Qualifications:
- Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, or a related field (or equivalent work experience), typically with a minimum of 10 years of related experience; 9 years with a master’s degree; or 7 years with a PhD.
- Expertise in modern C++ (C++11 or newer) with a strong software engineering foundation.
- Experience deploying state estimation solution on physical systems in real-world environments
- Deep knowledge of Kalman filtering, graph optimization, sensor fusion, and inertial navigation systems.
- Demonstrated success leading engineering projects or small technical teams.
- Experience delivering autonomy software for robotics, aerospace, or defense platforms.
Preferred Qualifications:
- Experience with VIO, SLAM, factor graph optimization (gtsam, Ceres) for GPS-denied navigation.
- Background in sensor integration (IMU, GPS, magnetometers, barometers, visual sensors).
- Familiarity with DoD program requirements, operational testing, and autonomy system assurance.
- Prior experience managing cross-disciplinary teams in agile environments.
Additional Information:
- Candidates may complete a technical evaluation, including a design and coding review, as part of the interview process.