Member of Technical Staff – Security

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🕒 Abril 14

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Prime Intellect

1 - 10 funcionários

🤖 Inteligência Artificial

☁️ SaaS

Artificial Intelligence • SaaS • Cloud Computing

Prime Intellect é uma empresa focada em democratizar o desenvolvimento de IA, fornecendo recursos computacionais escaláveis e descentralizados para treinamento de modelos. Sua plataforma permite que os usuários encontrem e compartilhem recursos computacionais globais, possibilitando o treinamento de modelos de ponta através de clusters distribuídos. Eles promovem a propriedade coletiva das inovações de IA, incluindo modelos de linguagem e cientificos. A Prime Intellect também oferece uma gama de opções de GPU para facilitar o treinamento de modelos de forma acessível e eficiente. Eles visam avançar na pesquisa de treinamentos descentralizados e no desenvolvimento de IA de código aberto em escala global.

Descrição

• 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 • Secure the RL training loop end-to-end — from environment execution in sandboxes to reward signal verification and model artifact storage • Build detection and prevention for AI-specific attack vectors: prompt injection across agentic pipelines, model exfiltration, adversarial environment manipulation • Scope, manage, and run point on external penetration tests across our platform, hosted training infrastructure, and liquid compute layer • Build and maintain an internal red-teaming practice — automated and manual — targeting our most critical systems • Drive vulnerability management: triage, remediation SLAs, and root cause analysis • Build security monitoring and alerting across infrastructure (distributed clusters, Kubernetes, cloud) and application layers • Implement runtime security for containerized training workloads and sandboxed environments • Own incident response — build the playbooks, run the drills, lead the post-mortems • Design audit logging and forensic capability across all customer-facing systems • Drive SOC 2 Type II readiness and other compliance frameworks required by enterprise customers • Own the security narrative for customer-facing materials — questionnaires, architecture reviews, trust documentation • Partner with GTM to unblock enterprise deals that depend on security posture.

🎯 Requisitos

• 5+ years in security engineering, infrastructure security, or offensive security roles • 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 • Strong fundamentals in cryptography, identity/access management, and secure software development lifecycle.

🏖️ Benefícios

• Cash Compensation Range of $180-350k+ with significant equity incentives • Flexible work arrangement (remote or San Francisco office) • Full visa sponsorship and relocation support • Professional development budget for courses and conferences • Regular team off-sites and conference attendance

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