Member of Technical Staff - Security

Prime Intellect
San Francisco
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Problem-solving","Teamwork","Leadership"]

Security lead for a frontier AI infrastructure, owning threat modeling, secure architecture, incident response, and compliance across hosted RL training platform, distributed GPU infrastructure, and customer-facing surfaces. Collaborates with engineering, research, and leadership to embed security across the stack, manage external pentests/audits, and build AI-specific security frameworks for cloud-native, multi-tenant environments at scale.

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FursaFursa
Prime Intellect
Prime Intellect
5 months ago

Member of Technical Staff - Security

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Security lead for a frontier AI infrastructure, owning threat modeling, secure architecture, incident response, and compliance across hosted RL training platform, distributed GPU infrastructure, and customer-facing surfaces. Collaborates with engineering, research, and leadership to embed security across the stack, manage external pentests/audits, and build AI-specific security frameworks for cloud-native, multi-tenant environments at scale.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Own threat modeling across our entire surface area: multi-tenant training infrastructure, sandboxed execution environments, API surfaces, and internal tooling
  • •Design and implement zero-trust networking, identity, and access control across distributed GPU clusters and cloud infrastructure
  • •Build secure-by-default patterns for our platform engineers — auth, secrets management, supply chain integrity, container hardening
  • •Architect tenant isolation and data boundary enforcement for hosted RL training workloads (customers run arbitrary code in our environments)
  • •Develop security frameworks specific to AI infrastructure: model weight protection, training data isolation, checkpoint integrity, gradient privacy

Pay and Benefits

Perks:Remote WorkVisa SponsorshipRelocationLearning BudgetOff-sites

Key Requirements

  • •5+ years in security engineering, infrastructure security, or offensive security roles — ideally at companies operating multi-tenant cloud or compute infrastructure
  • •Deep experience with cloud security (GCP preferred), Kubernetes security, and container runtime hardening
  • •Hands-on ability to read, write, and audit code in Python and Rust (or strong systems-level language)
  • •Experience with network security in distributed systems — service mesh, mTLS, network segmentation across heterogeneous hardware
  • •Proven track record managing external penetration tests and translating findings into engineering action
Experience:5+ yearsArtificial intelligenceCloud computing
Skills:CommunicationProblem-solvingTeamworkLeadership
Tech Stack:PythonRustKubernetesDockerMTLSService meshCloud security

Company Brief

Prime Intellect
Builds a decentralized, open compute and training platform that enables distributed training and collective ownership of AI models, aggregating global GPU resources and offering tools for agentic RL and model evaluation.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedIn