---
title: 'Member of Technical Staff - Security Eng. at Prime Intellect'
canonical: 'https://feeny.ai/job/member-of-technical-staff-security-eng-prime-intellect-san-francisco-d3anf6e9xe4v'
type: 'job'
last_seen: '2026-11-02'
---

# Member of Technical Staff - Security Eng. at Prime Intellect

- **Company:** Prime Intellect
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.ashbyhq.com/primeintellect/3a947740-84c3-43d8-80cb-870399eb637d

## 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.

## About Prime Intellect

## Company Overview
- **One-liner**: Prime Intellect provides an open, full-stack platform for companies to train, deploy, and continuously improve their own AI models through large-scale distributed reinforcement learning.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Vincent Weisser (CEO), Johannes Hagemann (CTO)

## Core Business
- **Primary industry**: AI infrastructure, open-source AI research, and agentic training platforms
- **Target customers**: B2B — enterprises and AI labs that want to train custom models without building their own infrastructure; also open-source community contributors
- **Mission**: Democratize frontier AI training by making it accessible to every company and collectively owning the resulting open innovations.

## Products & Services
- **Compute**: Access to GPU clusters (H100, H200, B200+) from 50+ providers, plus on-demand single GPU instances and reserved clusters with InfiniBand networking and SLURM/K8s orchestration.
- **Hosted Training (Lab)**: Managed large-scale reinforcement learning (RL) training without infrastructure overhead, including a 2,500+ environment hub and custom eval benchmarks.
- **Inference**: Serverless or dedicated inference for custom models, with native LoRA support and 1-click deployment.
- **Open-Source Libraries**: `prime-rl` (async RL framework), `verifiers` (environments & evals), and environment hub for collaborative development.
- **INTELLECT-3**: A 100B+ parameter Mixture-of-Experts model trained on their RL stack, achieving state-of-the-art performance for its size.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $70.44M across multiple rounds (CBInsights, 2026); earlier reports indicated $20.5M in seed rounds, followed by a Series B round of $49.94M led by Founders Fund and other investors.
- **Notable Investors/Partners**: Founders Fund, CoinFund, Distributed Global, Radical Ventures, Andrej Karpathy, Clem Delangue (Hugging Face), Dylan Patel (SemiAnalysis), Tri Dao (Together AI).
- **Growth Signals**: Headcount grew 128.6% YoY to 36 employees; 24 active job postings (monthly job growth +26.3%); launched INTELLECT-3 and SYNTHETIC-2 datasets; customers include Ramp and Zap; operates in 9 countries.

## Competitive Advantages
- **Full-stack integrated platform** – compute, post-training, evals, and inference in one place, reducing the fragmentation of building and maintaining AI workflows.
- **Large-scale distributed RL expertise** – proven ability to train 100B+ models across clusters (global training via their RL stack).
- **Open-source ethos** – models, datasets, and libraries are released openly, attracting a community of researchers and developers.
- **Founding team & research edge** – strong ties to frontier AI research, with contributions like prime-rl and self-improving agent loops.

## Strategic Focus
- **Self-improving agents** – building infrastructure that closes the loop from deployment back to training, enabling models to compound performance over time.
- **Scaling RL at extreme sizes** – recent research (RL at 1T Scale) shows commitment to massive-scale reinforcement learning.
- **Enterprise adoption** – adding dedicated solutions engineers and managed workflows for corporate customers.

## Why Work Here
- **Culture**: Seeks “the most ambitious developers” and emphasizes cutting-edge research and engineering. The team includes former engineers from Together AI, Aleph Alpha, and Anyscale.
- **Remote/Hybrid**: Remote-friendly with HQ in San Francisco.
- **Growth trajectory**: Rapidly scaling company (headcount up 128% YoY) with multiple open roles across engineering, research, and go-to-market.
- **Tech stack**: Python, PyTorch, CUDA, Kubernetes, SLURM, Grafana, and a broad modern AI toolchain – opportunity to work on infrastructure-level challenges.

## Sources
1. [primeintellect.ai](https://www.primeintellect.ai/)
2. [linkedin.com/company/primeintellect-ai](https://www.linkedin.com/company/primeintellect-ai)
3. [jobs.ashbyhq.com/PrimeIntellect](https://jobs.ashbyhq.com/primeintellect)
4. [cbinsights.com/company/prime-intellect](https://www.cbinsights.com/company/prime-intellect)
5. [docs.primeintellect.ai/introduction](https://docs.primeintellect.ai/introduction)

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