> Markdown version of [/jobs/ext/1256321-technical-lead-state-estimation](https://www.wearedevelopers.com/jobs/ext/1256321-technical-lead-state-estimation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Lead - State Estimation - **Company:** Overland Ai - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Systems Engineering, C++ (Programming Language), Middleware, Global Positioning Systems (GPS), Inertial Navigation Systems, Python (Programming Language), Machine Learning, Open Source Technology, Robotic Automation Software, Sensor Fusion, Verification and Validation (Software), Robot Operating System, Information Technology, Low Latency, Lidar, GNSS - **Published:** July 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d4aa8a80c9718541 ## About the Role * MS or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field with specialization in state estimation, SLAM, localization, or probabilistic inference. * 5+ years developing production-grade state estimation or SLAM systems deployed on physical robotic platforms. * Deep expertise in probability theory, Bayesian estimation, optimization, and nonlinear inference, including: * EKF, UKF, Error-State Kalman Filters * Factor graph optimization (GTSAM, Ceres, g2o) * MAP/MLE estimation Demonstrated experience deploying robust estimation systems in complex, unstructured, or off-road environments. Expert-level C++ and strong Python development skills. Experience building low-latency, real-time robotics software. Strong understanding of inertial navigation, sensor calibration, and multi-modal sensor fusion (IMU, LiDAR, cameras, GNSS). Publications or significant technical contributions in SLAM, visual-inertial odometry, LiDAR-inertial odometry, localization, or related fields. Desired Qualifications & Experience * PhD in Robotics, Computer Science, Electrical Engineering, or a related field. * Experience incorporating machine learning into estimation pipelines. * Experience with ROS 2 and real-time middleware (DDS, shared-memory transport). * Experience with terrain-relative navigation, prior-map localization, or GPS-denied navigation. * Contributions to widely used open-source robotics or estimation libraries. * Experience leading technical teams, mentoring engineers, and driving architecture decisions. * Experience shipping autonomy systems on production robotic or autonomous vehicle platforms. ## Description Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations., Overland AI is building autonomous ground vehicles capable of operating where GPS is unreliable, terrain is unpredictable, and failure is not an option. We're looking for a Technical Lead in State Estimation to define the algorithms that allow our vehicles to understand exactly where they are-and keep them operating confidently in the world's most demanding environments. In this role, you'll lead the architecture and development of our state estimation stack, solving challenging problems across localization, mapping, sensor fusion, and probabilistic inference. You'll work at the intersection of cutting-edge robotics research and production autonomy, turning advanced estimation techniques into robust systems that perform reliably in real-world deployment. As a technical leader, you'll set the direction for state estimation at Overland, mentor a team of exceptional robotics engineers, and collaborate across perception, planning, controls, and platform engineering to build the next generation of autonomous off-road vehicles., * Design and implement odometry, localization, and mapping algorithms that enable reliable autonomy in GPS-denied and degraded environments. * Develop robust multi-sensor fusion systems combining IMUs, LiDAR, cameras, GNSS, wheel encoders, and other onboard sensors. * Formulate and solve estimation problems using Kalman filtering, Bayesian inference, factor graphs, nonlinear optimization, and modern probabilistic techniques. * Evaluate and integrate learned approaches-including learned odometry, feature representations, and neural mapping methods-where they deliver measurable improvements over classical techniques. * Develop high-performance, production-quality C++ (C++23) software optimized for real-time robotic systems. * Build tooling, simulation infrastructure, and evaluation pipelines that enable rapid algorithm development and validation using large-scale field datasets. * Lead verification and validation efforts across diverse terrain, weather conditions, and operational environments. * Partner closely with perception, planning, controls, and systems engineers to deliver an integrated, reliable autonomy stack. * Mentor engineers, drive technical excellence, and establish best practices for robotics software development. ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Developer’s Perspective: Overview of the Tezos Blockchain Ecosystem](https://www.wearedevelopers.com/videos/237-developer-s-perspective-overview-of-the-tezos-blockchain-ecosystem) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [A Guide To Functional Programming](https://www.wearedevelopers.com/videos/408-a-guide-to-functional-programming) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)