Member of Technical Staff, Software Generalist
Xdof
San Mateo, CA · $155k–$270k a year · Posted July 13, 2026
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Where San Mateo, CA ranks
Where San Mateo, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
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
- #1Best cities for legal pay after cost of living$238k · of 20
- #1Best cities for security pay after cost of living$241k · of 10
- #1Best cities for media and entertainment pay after cost of living$209k · of 9
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 $212,500 a year. Across 130 open member of technical staff listings that state pay, the middle half runs $208,000 to $270,000 and the median is $240,000. That is inside the middle half of those listings, 11% below 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
Software Engineer, Generalist
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.
We’re hiring generalist software engineers who can work across the entire company. Your work could touch anything in our software stack. Some weeks you might be developing our data pipeline, other weeks you might be scripting a hardware integration, or shipping a quick internal tool. There’s a huge range of problems to solve here, and the only constant is that you’ll have a problem to solve.
What You’ll Do
Generalist engineers work on whatever has the highest impact. Examples include:
- building backend services and APIs for our data platform and customer-facing product
- writing data processing pipelines to transform and validate incoming robotics datasets
- building the orchestration layer for workflows that leverage real robotic hardware
- contributing to our data collection application across the full stack
- scripting integrations between hardware systems, cloud infrastructure, and software services
About You
Baseline skills:
- bachelor’s degree or equivalent experience in Computer Science or a related field
- fluency with Python and at least one other language
- ability to quickly ramp up in unfamiliar codebases, tools, and problem domains
- comfort operating across the stack without needing a narrow specialization to be productive
You might be a good fit if you:
- have built and shipped software in fast-moving environments where your role wasn’t clearly defined
- have worked across multiple domains (backend, frontend, data, infra, scripting) even if you’re not an expert in all of them
- have experience building systems that interact with physical hardware or manage compute-heavy workloads
- have prior experience with AI, robotics, or large-scale data systems
- 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!