Senior Manager, Precision Navigation and Sensing (R4256)

Shield AI•Washington, DC

2d•$228,000 - $342,000

About The Position

As a Precision Navigation and Sensing Lead, you will lead a team of software developers and sensor experts to develop optimize and field optimize algorithms and sensors that process and fuse data to provide accurate, reliable state estimates, enabling the VBAT and XBAT to operate autonomously in complex and contested environments.

Requirements

Minimum of 10 years of related experience with a Bachelorâs degree in Mechanical, Aerospace, or Electrical Engineering (or related field); or 6 years and a Masterâs degree; or 4 years with a PhD; or equivalent work experience.
Demonstrated experience leading a team to develop and deploy complex navigation solutions
Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc.
Proven track record of implementing and delivering 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.
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.

Nice To Haves

Experience in implementing inertial navigation algorithms on real-time processing systems
Knowledge of computer vision techniques
Proficiency in optimizing algorithms for co

Responsibilities

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.
Select characterize and field precision navigation sensors such as cameras, radar, IMUs, GPS, etc.
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.