Address spatiotemporal sensor calibration, dynamic environmental interference, and kinematic constraint enforcement on human skeletal models.
Develop techniques to extract useful information from compliant tactile sensing in the presence of large sensor deformation, stretching or folding.
Diagnose and understand limitations of existing hardware or designs and inform future design requirements.
Evaluate novel sensing modalities to inform future hardware designs.
Build diagnostic tooling, validation pipelines, and error analysis workflows to evaluate accuracy for both online and offline algorithms.
Requirements
4+ years of experience building multi-sensor fusion and state estimation solutions for dynamic hardware systems.
Hands-on expertise with both real-time filtering techniques ((E)KFs, sliding-window estimators) and offline batch optimization tools (Factor Graphs, GTSAM, Ceres, Non-Linear Least Squares).
Proven capability to design fast, reliable calibration, zeroing, and alignment workflows for multi-sensor suites and kinematic models.
Deep mathematical foundation in 3D spatial kinematics, Lie groups (SE(3), SO(3)), forward/inverse kinematics, and constrained optimization.
Proven ability to write high-performance, modular C++ for embedded or edge computing platforms alongside Python for data analysis and visualization.
Bonus Qualifications
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.
Prior experience applying Machine Learning (ML) techniques to motion priors, trajectory smoothing, or learned state estimation/calibration.
The US base salary range for this full-time position is $150,000 to $300,000 per year.
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.
