Member of Technical Staff - Security Eng.
Prime Intellect
San Francisco, CA · Posted October 29, 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 security jobs
- Best cities for security jobs #1 San Francisco (316 openings)
- Best cities for security pay after cost of living #1 San Mateo ($241k)
- Most requested AI skills in security jobs #1 AI tools in daily work (10.8%)
- Employers with the most security jobs #1 Amazon (318 roles)
Pay compared with the market
This listing does not state pay. Across 138 open member of technical staff listings that state pay, the middle half runs $195,000 to $275,000 and the median is $225,000.
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
OWN YOUR INTELLIGENCE
Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators, including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.
ROLE IMPACT
Our customers trust us with proprietary models, training data, and the compute that powers them. For frontier labs, large enterprises, and sovereign AI programs, that means protecting sensitive IP across hosted, private, and on-prem environments, with demanding requirements for isolation, access, and data residency. You’ll own the security engineering that makes that trust possible across our GPU infrastructure, training platform, and sandboxes.
This is a lead-level IC role based in our San Francisco office, with scope to manage people over time. You’ll work closely with our security team, which we expect you to help grow, our CTO, and our Head of Engineering.
RESPONSIBILITIES
- Harden cloud, GPU, and server infrastructure across hosted and customer-controlled environments, including Linux, Kubernetes, networking, and tenant isolation.
- Build security telemetry, audit trails, detections, and actionable alerts for suspicious access, workload behavior, and data movement.
- Lead incident response from investigation and containment through recovery, postmortems, and lasting fixes.
- Own vulnerability prioritization and remediation, coordinating urgent patches with infrastructure and product teams.
- Build secure defaults for identity, secrets, data access, and deployment pipelines that meet enterprise and sovereign requirements.
- Test systems with an attacker’s mindset, run threat models and penetration tests, and turn findings into shipped improvements.
REQUIREMENTS
- You’ve secured critical production systems carrying sensitive customer data or proprietary IP, ideally for demanding enterprises, research labs, or private and on-prem deployments.
- You’ve earned some battle scars responding to real incidents. You can walk us through what happened, what you missed, and what you changed.
- You know where Linux, cloud IAM, networking, and container boundaries tend to break, and you’ve shipped controls that hold up in production.
- You can find the hole and write the fix: code, detections, tooling, and infrastructure changes.
- You take ownership when the problem is fuzzy, make practical risk calls, and bring people with you through clear communication.
BENEFITS AND PERKS
- Base salary of $150,000-300,000, plus equity.
- Full visa sponsorship and relocation support.
- Professional development budget for courses and conferences.
- Quarterly team off-sites, hackathons, conferences, and learning opportunities.
- Work with a talented, mission-driven team building open superintelligence.