Before you apply
Listed location: San Francisco
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Prime Intellect; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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.
Skills mentioned
Categories
Frequently asked questions
Is the Member of Technical Staff - Security Eng. position at Prime Intellect remote?
The Member of Technical Staff - Security Eng. role at Prime Intellect does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Member of Technical Staff - Security Eng. role?
Prime Intellect is hiring for a full-time Member of Technical Staff - Security Eng. position.
Which skills are mentioned for the Member of Technical Staff - Security Eng. job at Prime Intellect?
Detected skill labels include Kubernetes, Go, LangChain, GPU, Databricks. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Member of Technical Staff - Security Eng. position at Prime Intellect?
You can apply for the Member of Technical Staff - Security Eng. role directly through Prime Intellect's official application link provided on this page.
Similar AI jobs
Member of Technical Staff - IT & Security Eng.
Prime Intellect · fulltime
Benefits Lead
Nebius · fulltime
Network Infrastructure Engineer, Global Network Infra (WAN)
OpenAI · fulltime
Senior Field Engineer, Data Center Design and Engineering
Anthropic · fulltime
HPC Systems Engineer
Anduril · fulltime
HPC Systems Engineer
Anduril · fulltime