Member of Technical Staff, Robotics Control (Whole Body Control)
Xdof
San Mateo, CA · $180k–$300k a year · Posted August 21, 2026
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Where San Mateo, CA ranks
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November 2026
- #1Best cities for engineering pay after cost of living$216k · of 94
- #1Best cities for finance pay after cost of living$162k · of 35
- #1Best cities for HR pay after cost of living$158k · of 15
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Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $240,000 a year. Across 143 open member of technical staff listings that state pay, the middle half runs $200,000 to $270,000 and the median is $240,000. That is inside the middle half of those listings and at the median.
Listed pay is what employers advertise, not what people are paid.
Member of Technical Staff salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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
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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!