Senior Controls Engineer, State Estimation
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It’s time to build.
We are looking for a Senior State Estimation Engineer. You will own the development of new state estimation & sensor fusion algorithms for our humanoid robot, working both in simulation and on hardware with the goal of providing real-time estimates for control, enabling precise localization of the robot in the world, and sensing the robot’s interaction both with manipulated objects and its environment.
Responsibilities:
- Design and develop C++ code to support state estimation of a dynamic humanoid robot, e.g.:
- Contact estimation
- Interaction force estimation
- Floating-base pose & velocity
- Collaborate with the controls, motion planning, manipulation & perception teams to understand needs and develop state of the art techniques to solve real-world state estimation challenges
- Test, evaluate, define performance metrics and perform failure analysis of the algorithms to improve the robot’s ability to solve real world problems
Requirements:
- 4+ years of experience building state of the art state estimation solutions for real-time robotic systems such as (E)KFs, Particle Filters, Factor Graphs, Bayesian Estimation, etc.
- Experience working with various sensors, including encoders, torque sensors, IMUs, etc.
- Understanding of spatial kinematics, dynamics and related mathematical concepts
- A proven track record iterating on complex state-estimation problems including problem definition, deployment, testing, data-analysis, debugging, and evaluation
- Fluency in modern C++ and Python
Bonus Qualifications:
- Prior experience working on legged robotics
- Experience with Machine Learning (ML) as it relates to state-estimation
The US base salary range for this full-time position is between $140,000 - $250,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
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