Forward Deployed Security Engineer
OpenAI · Washington, DC
CHECKED 23H AGO
Frontier labremotesenior$266k–$445k
At a glance
Highlights
- Secure novel AI deployments for strategic public sector customers end-to-end.
- Embed on-site from design to production through ongoing security operations.
- Protect technology underpinning some of the world's most impactful work.
What they offer
- Equity
- Relocation assistance
Ideal candidate
Motivated, tenacious security engineer who thrives in ambiguity and loves embedding directly with customers to secure mission-critical public sector AI deployments end-to-end.
Requirements
- Active US security clearance
- 5+ years of security engineering experience with emphasis on infrastructure, application, network, datacenter security and systems engineering
- Familiarity with deployment models including cloud platforms (Azure, AWS) and infrastructure primitives (Kubernetes, Terraform)
- Proficiency in programming languages such as Python, Golang, or similar
- Proven track record of developing high-quality, scalable, and secure infrastructure
- Experience with security operations including insider threat monitoring, network/endpoint detection and response, or red team or penetration testing
- Comprehensive knowledge of modern adversary tactics, techniques, and procedures
- Ability to work collaboratively and effectively in a cross-functional team environment
- Thrive in dynamic environments and navigate ambiguity with ease
- Travel to and working from customer sites is required
- remote policy
- Hybrid - 3 days in office per week; remote may be considered
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets