Startups · AI

Member of Technical Staff - Security Eng.

Primeintellect · San Francisco · On-site

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About Primeintellect

Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack. Backed by Menlo.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role

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,...

Read the full posting on Primeintellect's site ↗

Engineering

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