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Security Labs Engineer

Own end-to-end security R&D projects building novel infrastructure like isolated clusters and cryptographic verification for AI safety. Requires 7+ years engineering experience, Python/systems languages, cloud/Kubernetes, and cross-functional execution in ambiguous environments.

320k – 405kSan Francisco, CASecurity EngineeringHybrid7+ YOE

About the role

Current Project Areas

  • Designing and operating mock high-assurance research environments under extreme isolation.
  • Exploring cryptographic verification of model integrity using zero-knowledge proofs.
  • Assessing confidential computing feasibility across model lifecycle.
  • Piloting AI-assisted security tooling (vulnerability discovery, automated patching, anomaly detection).
  • Prototyping API-only access regimes.

What You'll Do

  • Own end-to-end execution of Security Labs projects: refine hypothesis, design experiment, build prototype, run pilot, write results.
  • Build novel security infrastructure (isolated clusters, hardened access controls, cryptographic layers).
  • Drive successful experiments to production scale.
  • Embed with research teams to stress-test workflows under extreme security controls.
  • Evaluate and integrate emerging security technologies with vendors and research groups.
  • Produce decision-ready writeups informing security architecture.
  • Maintain pain-point registry and feasibility assessments.
  • Scope and prioritize next Labs projects.

You May Be a Good Fit If You Have

  • 7+ years software or security engineering experience with production systems.
  • Experience with pilots, prototypes, or applied research.
  • Strong programming in Python and systems language (Go, Rust, or C/C++).
  • Hands-on with cloud infrastructure (AWS, GCP, Azure), Kubernetes, networking.
  • Cross-functional execution skills.
  • Clear written communication.
  • Comfort with ambiguity and iteration.
  • Curiosity about nation-state adversary defense.
  • Passion for AI safety.
  • Bachelor's degree in Computer Science or related field (or equivalent).

Strong Candidates May Also Have

  • Offensive security, red teaming, or security research experience.
  • Airgapped or high-side environments familiarity.
  • Applied cryptography knowledge (zero-knowledge proofs, attestation, secure enclaves, TPMs, confidential computing).
  • ML infrastructure experience (training, inference, model packaging).
  • Security systems in rapid iteration environments.

Skills

PythonGoRustC++KubernetesAWSGCPAzureZero-Knowledge ProofsConfidential Computing

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