Member of Technical Staff - Security Eng.
Prime Intellect13 hours ago
Base Salary
$150k - $300k/yr
Responsibilities
- Harden cloud, GPU, server, Linux, Kubernetes, networking, and tenant-isolation infrastructure across hosted and customer-controlled environments.
- 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 remediation.
- Own vulnerability prioritization and remediation, coordinating urgent patches with infrastructure and product teams.
- Build secure defaults for identity, secrets, data access, and deployment pipelines for enterprise and sovereign requirements.
- Run threat models and penetration tests and convert findings into shipped security improvements.
Requirements
- Experience securing critical production systems containing sensitive customer data or proprietary intellectual property, ideally in enterprise, research-lab, private, or on-prem environments.
- Experience responding to real security incidents and explaining the resulting lessons and changes.
- Strong understanding of failure points in Linux, cloud IAM, networking, and container boundaries, with experience shipping production-ready controls.
- Ability to write code, detections, tooling, and infrastructure changes to remediate security issues.
- Ability to take ownership of ambiguous problems, make practical risk decisions, and communicate clearly.
Benefits
- 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 in the San Francisco office as a lead-level individual contributor with potential to manage people over time.
Tech Stack
Categories
About Prime Intellect
Prime Intellect builds a full-stack platform for training frontier AI models, giving enterprises access to distributed compute and agentic training infrastructure to develop their own systems. The company operates as a platform and open research lab, with customers leveraging its infrastructure rather than building it in-house. Headquartered in San Francisco and privately held, it has raised a Series A round backed by investors including Founders Fund and NVIDIA.