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Transforming industrial operations through physically embodied robotic AI and superhuman autonomy.
The Role
Design and implement state estimation and localization algorithms for legged robots, integrating various sensors and optimizing for real-world performance.
Summary Generated by Built In
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
About the Job
We’re building the estimation and navigation stack that keeps our legged and humanoid robots balanced, aware, and mission-ready—indoors and out, with or without GPS. You’ll design and ship real-time estimators and fusion pipelines that combine IMU and GNSS/GPS/RTK with legged-robot proprioception (joint encoders, torque/force & foot-contact sensors) and exteroception (cameras, LiDAR, radar/UWB). You’ll take algorithms from log-replay to rugged field performance on embedded/Linux targets, partnering closely with controls, perception, and planning.
What You’ll Get To Do
- State Estimation for Legged/Humanoid Bases
- Design and tune EKF/UKF error-state filters for floating-base pose/velocity, COM, IMU biases, and contact states.
- Fuse IMU, joint encoders, foot F/T & contact sensors; implement ZUPT/ZARU, slip handling, and kinematic/dynamic constraints.
- Expose clean interfaces (frames/timestamps/covariances) to whole-body control and footstep planning.
- Perception-Aided Localization & Mapping
- Stand up VIO/LIO pipelines (stereo/RGB-D + LiDAR) for GPS-denied operation, with map-based relocalization and loop closure.
- Add global aids—GNSS/RTK, UWB beacons, prior maps—and blend filtering with factor-graph smoothing when advantageous.
- Manage drift/consistency with robust outlier rejection, gating, and integrity monitoring.
- Calibration, Timing & Robustness
- Own time sync (PTP/Chrony/hardware triggers) and multi-sensor calibration (Allan variance for IMU, camera-IMU/LiDAR-IMU/base extrinsics, encoder offsets).
- Build health monitoring, FDIR, and graceful-degradation behaviors for harsh terrain and intermittent sensors.
- Establish KPIs (ATE/RTE, NEES/NIS, availability) and automated regression tests.
- Tooling, Simulation & Field Operations
- Create log-replay pipelines, datasets, and dashboards for rapid iteration and performance tracking.
- Validate in sim (Gazebo, Isaac etc) and in the field (stairs, rubble, ramps, slippery floors).
- Optimize and deploy on embedded targets (Jetson/x86), profiling latency, memory, and numerical stability.
What You Have
- Strong fundamentals in estimation & sensor fusion (EKF/UKF, error-state, observability/consistency, covariance tuning).
- Hands-on with IMUs (strapdown mechanization, bias/scale, coning/sculling) and GNSS/GPS/RTK (loosely vs tightly coupled INS).
- Experience with legged-robot proprioception: joint encoders, foot contact/pressure, torque/force sensors; using kinematic/dynamic constraints in estimators.
- Proficiency in modern C++ (14/17/20) on Linux; Python for tooling, analysis, and log processing.
- Comfort with SO(3)/SE(3), Lie-group math, and non-linear optimization.
- Integration with at least two of: cameras (VIO), LiDAR (LIO/scan-matching), UWB, magnetometer/barometer, radar.
- Familiarity with ROS 1/ROS 2, CMake/Bazel, Docker, CI/CD, and reproducible experiments.
- Proven track record shipping research-to-production algorithms on real robots with field test cycles.
- BS/MS/PhD in Robotics/EE/CS/AE or equivalent practical experience.
The Extras That Set You Apart
- Factor-graph SLAM/VIO (GTSAM/iSAM2) and non-linear solvers (Ceres/g2o); hybrid filtering + smoothing in production.
- Whole-body/legged tooling, momentum/COM filters, terrain estimation, and contact-rich datasets.
- Robustness techniques: adaptive noise models, M-estimators/gating, data association, map-based relocalization.
- Experience with GPS-denied navigation at scale (warehouses, construction, urban canyons).
- Real-time/performance chops (RT-PREEMPT, lock-free pipelines, deterministic logging, on-robot telemetry).
- Embedded/GPU acceleration (Nvidia/CUDA) for perception-aided estimation.
- Designing calibration & end-of-line test procedures for production.
Compensation and Benefits
Our salary range is between ($70,000 - $200,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
Top Skills
Bazel
C++
Ci/Cd
Cmake
Docker
Ekf
Gnss
Gps
Imu
Lidar
Linux
Python
Ros 1
Ros 2
Rtk
Ukf
Uwb
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The Company
What We Do
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
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