Member of Technical Staff, Robotics
Xdof
San Mateo, CA · $175k–$275k a year · Posted December 10, 2025
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November 2026
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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 $225,000 a year. Across 171 open member of technical staff listings that state pay, the middle half runs $200,000 to $270,000 and the median is $230,000. That is inside the middle half of those listings, 2% below the median.
Listed pay is what employers advertise, not what people are paid.
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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.
As a Research Engineer at XDOF, you will design, build, and deploy real world robot learning systems, working across manipulation, locomotion, and control to push robots from raw hardware to fully functional systems.
This is a deeply hands on role. You will own systems end to end, from simulation and model training to deployment on real robots, and you will help define the technical foundations that enable large scale robot learning.
BASELINE SKILLS:
- Bachelor's degree or equivalent experience in Robotics, Computer Science, or a related field
- Strong experience with Python and modern deep learning frameworks such as PyTorch or JAX
- Full stack experience across robot learning, including data processing, model training, and deployment
- Experience designing, implementing, and deploying robot learning systems in research or production environments
- Strong understanding of both classical robotics techniques and learning based approaches, and the trade offs between them
YOU MIGHT BE A GOOD FIT IF YOU:
- Can take a robotics system from 0 to 1 and iterate quickly based on real world feedback
- Have hands on experience in one or more of the following areas: robot manipulation, locomotion, navigation algorithms, imitation learning, generative modeling, and/or reinforcement learning
- Are comfortable working across simulation and real hardware, including high degrees of freedom manipulators and mobile robots
- Are obsessed with state of the art techniques, tools, and research, and enjoy pushing systems beyond what already exists
- Thrive in fast paced, ambiguous environments where solutions are not predefined
- 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.