Develop, deploy, and scale both online and offline state-estimation algorithms for real-world robotic systems.
Build software, tools, and processes that accelerate your rate of experimentation, monitor performance, and inform you what to try next.
Work with large quantities of sensor data on challenging real-world problems.
Collaborate with the team to deploy your work in a mission-critical environment.

5+ Years of industry experience and a Master's/Ph.D. Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent.
Deep knowledge about various state estimation techniques, including but not limited to Kalman Filter and its variations, particle filter, SLAM, dead-reckoning, and Odometry.
Strong analytical skills in linear algebra, geometry, and probability
Strong C++ software development skills.
Experience developing software under strong real-time performance requirements.
Strong team player, comfortable working in a vibrant, diverse, and interdisciplinary team.

State Estimation, Mapping Engineer

Key skills