2 дня назад
State Estimation Engineer - Data Collection Systems (Robotics)
150 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
State Estimation Engineer - Data Collection Systems (Robotics) (C++/Python): Building dual-tier state estimation pipelines and calibration workflows for real-time humanoid robot teleoperation and high-precision offline trajectory reconstruction with an accent on multi-sensor fusion, full-body kinematics, and sensor calibration. Focus on designing low-latency filters, batch optimization and smoothing, compliant tactile sensing analysis, and validation tooling for dynamic hardware systems.
Location: San Jose, CA; 5 days/week in-office collaboration required
Salary: $150,000–$300,000 annually
Company
develops autonomous general-purpose humanoid robots for home and commercial applications.
What you will do
- Design and implement dual-tier state estimation algorithms in modern C++ for low-latency teleoperation and high-accuracy offline dataset generation.
- Develop subject calibration workflows for body segment dimensions, joint offsets, and sensor-to-body extrinsics.
- Build sensor fusion architectures combining spatial transforms, visual-inertial data, and inertial signals for full-body kinematic pose estimation.
- Address spatiotemporal calibration, environmental interference, and kinematic constraints on human skeletal models.
- Extract information from compliant tactile sensors affected by deformation, stretching, and folding.
- Build diagnostic tools, validation pipelines, and error-analysis workflows while informing future hardware and sensing designs.
Requirements
- 4+ years of experience building multi-sensor fusion and state estimation solutions for dynamic hardware systems.
- Hands-on expertise with real-time filtering, including extended and error-state Kalman filters and sliding-window estimators.
- Experience with offline batch optimization tools such as factor graphs, GTSAM, Ceres, and nonlinear least squares.
- Strong knowledge of 3D spatial kinematics, Lie groups including SE(3) and SO(3), forward and inverse kinematics, and constrained optimization.
- Ability to write high-performance, modular C++ for embedded or edge platforms and Python for data analysis and visualization.
Nice to have
- Experience with low-latency streaming pipelines for teleoperation, haptics, or human-in-the-loop control systems.
- Background in human biomechanics, skeletal tracking, or body-mounted telemetry systems.
- Experience applying machine learning to motion priors, trajectory smoothing, or learned state estimation and calibration.
Culture & Benefits
- Full-time position with a stated annual base salary range of $150,000–$300,000.
- Total compensation may include additional components and benefits depending on the role.
- In-office collaboration is required five days per week.
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