Member of Technical Staff – Security

Job not on LinkedIn

🕒 April 14

🏄 California – Remote

🏄 California – Remote

💵 $180k - $350k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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Prime Intellect

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Cloud Computing

Prime Intellect is a company focused on democratizing AI development by providing scalable and decentralized computing resources for training models. Their platform allows users to find and share global compute resources, enabling the training of state-of-the-art models through distributed clusters. They promote the collective ownership of AI innovations, including language and scientific models. Prime Intellect also offers a range of GPU options to facilitate affordable and efficient model training. They aim to advance decentralized training research and open-source AI development on a global scale.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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