Overland AI
Technical Lead - State Estimation
$200K–$260K
Seattle, WA · On-site · Full-time · Posted Jul 10, 2026
- Experience
- 5+ years developing production-grade state estimation or SLAM systems deployed on physical robotic platforms.
- Education
- MS or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field with specialization in state estimation, SLAM, localization, or probabilistic inference.
- Visa sponsorship
- Employment is contingent on the ability to comply with U.S. export control laws.
About the job
Leads the architecture and development of state estimation systems for autonomous ground vehicles operating in GPS-denied and challenging terrain.
What you'll do
- Design and implement odometry, localization, mapping, and multi-sensor fusion algorithms.
- Develop and validate real-time, production-quality robotics software and estimation pipelines.
- Set technical direction, mentor engineers, and collaborate across autonomy teams.
What they ask for
- MS or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field, specializing in state estimation, SLAM, localization, or probabilistic inference.
- 5+ years developing production-grade state estimation or SLAM systems deployed on physical robotic platforms.
- Expert-level C++ and strong Python skills, with experience building low-latency, real-time robotics software.
- Expertise in probabilistic estimation and optimization, plus experience deploying robust systems in complex environments.
Nice to have
- Experience incorporating machine learning into estimation pipelines.
- Experience with ROS 2 and real-time middleware, or terrain-relative, prior-map, or GPS-denied navigation.
Pay
$200,000 - $260,000 annually (base salary)
Tools
C++23, Python, GTSAM, Ceres, g2o, ROS 2, DDS
AI focus
Evaluate and integrate learned approaches, including learned odometry, feature representations, and neural mapping; machine learning may be incorporated into estimation pipelines.
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