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Figure

State Estimation Engineer - Data Collection Systems

Figure · San Jose, CA

Posted 29 days ago

or apply directly on Figure's site. We never take the application ourselves.

Is this posting real?

This role has been open
29 days
Figure's roles stay open a median of 45 days
Reposted
No
Salary listed
No
60% of Figure's roles list one
Ghost-job risk at Figure
high
81 stale, 2 reposted of 112 open
Hiring momentum
152 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Figure's own greenhouse board since 2026-08-03. Full hiring picture for Figure.

About this role

The State Estimation Engineer will be responsible for developing and implementing algorithms and workflows for a data collection system that supports real-time teleoperation and offline trajectory reconstruction for humanoid robots. Daily tasks will include designing state estimation algorithms, creating calibration procedures, and developing sensor fusion architectures to track human kinematics. The role also involves building diagnostic tools and evaluating novel sensing modalities to enhance system performance.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Figure as an employer.

What you need

  • 4+ years of experience building multi-sensor fusion and state estimation solutions for dynamic hardware systems
  • Hands-on expertise with 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

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
  • Prior experience applying Machine Learning (ML) techniques to motion priors, trajectory smoothing, or learned state estimation/calibration

What you get

  • The US base salary range for this full-time position is between $150,000 and $300,000 annually
  • The total compensation package may include additional components/benefits depending on the specific role

Worth weighing

  • 5 days/week in-office collaboration required
  • Salary range is broad, and pay may vary based on individual factors
  • Role involves complex algorithm development which may require ongoing learning and adaptation to new technologies

Summarised from Figure's posting. Read the full original.

Listed by Figure on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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