Your CharterBuild the foundation that NEO's whole-body control and manipulation strategies stand on. You will own state estimation, kinematics and robot models, system identification, and the sensor and signal conditioning underneath them, and define the interfaces the rest of the motion stack is built on. When a controller or a learned policy commands NEO, it is your estimates, models, and limits that it is trusting.
Key Outcomes- State Estimation: Ship floating-base pose and velocity, joint state, contact, and force/torque estimation that holds up through sensor noise, sensor dropout, and ambiguous contact signals.
- Kinematics and Robot Models: Own the robot models, frames, inverse kinematics, and command trajectory generation that downstream consumers resolve against, exposed through real-time-safe APIs and bindings.
- System Identification: Characterize actuators, tendons, and transmissions - friction, cogging, stiffness, slack, stretch - so models track real hardware unit to unit instead of being tuned around.
- Sensing and Signal Conditioning: Run sensor and modality trade studies for state estimation, then own the path from raw sensor to trusted signal - filtering, anti-aliasing, validity checks, temporal consistency.
- Diagnostics and Fault Response: Build the monitoring, limits, and fault reactions that let a robot detect a degraded joint or a thermal limit and degrade safely rather than fail unpredictably.
- Calibration and Bring-Up: Partner with production and service teams so calibration and bring-up procedures are correct, implemented, and actually followed across the line, the field, and each new robot generation.
Key Competencies- State Estimation Depth: Designs and tunes filters and observers against real sensor data, reasoning about bias observability, innovation gating, and graceful degradation when a sensor drops out.
- Comfort with Uncertainty: Builds estimators and models that hold up across a fleet where every robot differs and drifts, and quantifies confidence rather than assuming a golden unit.
- Kinematics and Dynamics: Fluent in rigid body kinematics, frame conventions, and robot modeling, and comfortable working through model libraries and URDF-based pipelines.
- Signal and Systems Instinct: Treats bandwidth, latency, aliasing, noise, and loop timing as first-class design constraints rather than tuning knobs discovered late.
- Root-Cause Analysis: Digs through logged robot data to find why something actually failed, and works with the mechanical and electrical teams to separate software faults from hardware ones.
- Technical Direction: Sets the approach for a problem area, defends tradeoffs across sensing, actuation, and compute, and partners with the hardware teams upstream and the teams consuming it downstream.
Minimum Requirements- Proven track record of shipping state estimation or control software on physical robots or comparable electromechanical systems
- Deep experience implementing and tuning state estimators such as EKF, UKF, invariant, or complementary filters against real, noisy sensor data from hardware that varies unit to unit
- Strong applied foundation in rigid body kinematics, frame transforms, and inverse kinematics and dynamics
- Hands-on experience with system identification and calibration of actuators, transmissions, or sensors
- High proficiency writing production-quality real-time C++ on Linux, with Python for tooling and analysis
- 5+ years of relevant industry experience, or an advanced degree plus equivalent hands-on experience
Preferred Skills- Background in tendon-driven or cable-driven actuation and dexterous end-effectors, including slack, stretch, and non-collocated sensing
- Experience with optimal control methods such as convex optimization, model predictive control, or trajectory optimization
- Experience fusing exteroceptive estimation such as visual-inertial odometry into a floating-base estimator
- Familiarity with real-time transport and fieldbus protocols such as EtherCAT or CAN
- Hands-on experience bringing up robot hardware from scratch, or working closely with firmware and electrical teams at the hardware-software boundary
Compensation- Salary Range: $200,000 - $300,000 + Equity
Benefits- Comprehensive medical, dental, and vision coverage
- Generous paid time off, company holidays, and parental leave
- 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
- Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
- Commuter benefits (transit and parking)
- Short-term and long-term disability, and life insurance
- Employee Assistance Program (EAP) for mental health, financial, and personal support
- Onsite snacks and catered lunches
