Member of Technical Staff - Full Stack
Hyperbolic
San Francisco, CA · Posted February 10, 2026
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
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 does not state pay. 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.
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
WHO WE ARE
Join us in putting the world’s compute behind the people building what comes next.
At Hyperbolic, we’re making global AI compute liquid. We bring fragmented, heterogeneous GPU capacity together into one unified, productive platform, making it easier to access, sell, resell, manage, and orchestrate the resources that power AI. For neocloud, we turn GPU capacity into productive infrastructure that delivers lasting value and accelerate their time to market.
We believe bold ideas deserve the computing power to become reality. We’re building toward a future where compute flows as freely as electricity, available when and where it’s needed, so builders everywhere can turn their most ambitious ideas into breakthroughs.
We’re looking for curious, driven people who take ownership, challenge assumptions, and care deeply about what they build. If you’re energized by hard problems and want to help shape how the world accesses AI, we’d love to build with you.
ABOUT THE ROLE
As a Full Stack Engineer at Hyperbolic Labs, you’ll work closely with our Product and Engineering teams to design, build, and scale end-to-end applications that power our AI cloud platform. You’ll contribute across the stack — from infrastructure and backend systems to intuitive frontend interfaces — helping us deliver a seamless experience for our GPU marketplace, inference tools, and platform services.
In this role, you’ll be deeply involved in shaping both our product and the technology behind it. You’ll architect scalable systems, implement new features, and continuously improve our development practices to support rapid growth. This is a high-impact role where you’ll collaborate with talented engineers to build the backbone of Hyperbolic’s core products.
WHO YOU ARE
- 8+ years of experience in full-stack development, preferably in high-growth product environments.
- Expert in Node.JS, TypeScript, with some Python fluency for backend systems
- Experience with Drizzle ORM, Postgres, and Vercel and Github-based CI/CD pipelines.
- Strong product sense — you care about user experience as much as technical elegance.
- Effective communicator who thrives in fast-paced, cross-functional teams.
- Demonstrated experience shipping production-ready features end-to-end.
- Skilled in structuring, running, and interpreting A/B and multivariate experiments to inform data-driven product decisions.
- Experience designing and building large-scale applications, from data modeling and API design to front-end architecture.
PREFERRED QUALIFICATIONS
- Strong Python expertise and familiarity with scripting for automation or integration.
- Experience working on AI developer tools or at-scale distributed systems.
- Experience with Supabase, Figma, or design collaboration workflows.
- Familiarity with A/B testing and feature flag systems (PostHog).
- Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and AI integration patterns.
- Previous leadership or mentorship experience within engineering teams.
- Passion for building tools that empower developers and accelerate innovation.
Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.