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Open nowPosted 49 days ago

Member of Technical Staff, Robotics Control (Whole Body Control)

xDOF21 open roles

Where
San Mateo Hybrid
Work mode
Hybrid
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Your applicationOpen nowMember of Technical Staff, Robotics Control (Whole Body Control)xDOF · San Mateo Hybrid

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. xDOF postings stay open a median of 16 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 49 days ago

xDOF median: 16 days open

The posting

At XDOF, we're at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We're building the foundation behind the foundation models — the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain — to help our partners drive the field forward.

Great data starts with great hardware behavior. We're looking for a Robotics Controls Engineer to build the high-performance control systems that make our dexterous manipulators and humanoid robots move safely, precisely, and repeatably — because every teleoperation session, every collection run, and every downstream model depends on robots that respond exactly as commanded.

What You'll Do

Controls engineers are the bridge between robot hardware and reliable, high-quality motion. Sample projects include:

- implementing joint-space and Cartesian impedance / torque control for 7+ DoF robotic arms

- building whole-body control (WBC) for highly redundant humanoids with mobile bases, arms, and actuated torsos

- designing optimization-based controllers: QP formulations, inverse dynamics, task/null-space control, and redundancy resolution

- developing collision-aware motion and control, including self-collision avoidance and environment constraints

- implementing and integrating real-time control software on physical robots, from simulation through hardware deployment

- tuning and validating controller performance across diverse manipulation and locomotion tasks

- working closely with data collection operators and hardware teams to diagnose and resolve control-related failure modes during teleoperation and autonomous runs

About You

Baseline skills:

- bachelor's or master's degree (or equivalent experience) in robotics, mechanical engineering, electrical engineering, computer science, or a related field

- strong fundamentals in robot dynamics, kinematics, and feedback control

- hands-on experience implementing controllers on real robotic systems, not just in simulation

- strong C++ and/or Python, and comfort working with real-time robotics systems

-

You might be a good fit if you:

- have experience with whole-body control, operational-space control, MPC, or optimization-based control

- come from a background in humanoid robotics, manipulation, legged robotics, or advanced industrial robot control

- have worked on real-time embedded control software and understand the constraints of deploying to physical hardware

- are very comfortable working in 0→1 environments

- are mission-driven and passionate about robotics: work at XDOF is fast-paced and constant. We hope you love what you're going to be doing, because you'll be doing a lot of it!

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