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Data Security Engineer

General Intuition · New York City

CHECKED 7H AGO

Frontier labonsite$180k–$300k
Apply on the lab’s site ↗

At a glance

Highlights

  • Secure infrastructure bridging AI research and creator platform.
  • Safeguard deployment systems from supply-chain attacks and threats.
  • Build secure-by-default foundations without slowing product teams.

What they offer

  • Offers Equity

Ideal candidate

A proactive security engineer who loves hardening cloud and data systems from the inside out. You care about secure-by-default guardrails that keep research and product teams moving fast while reducing risk.

Requirements

  • Harden GCP (AWS equivalents fine), Kubernetes, and containers with workload isolation, network segmentation and IAM discipline
  • Protect video/metadata ETL data pipelines with encryption, isolation, logging and observability
  • Own identity, access, and secrets including least-privilege baselines, workload identity, key rotation and PKI
  • Secure software supply chain with scanned builds and dependencies, artifact provenance, and hardened GitHub Actions runners
  • Run op-sec program including threat modeling, red-team and tabletop drills, incident response, and external pen-tests
  • Keep creator data and AI training data compliant

Lab profile

About General Intuition

Frontier lab building large action and world models to perceive, predict, and act in virtual and physical environments.

What they build

  • Large action models
  • World models

Known for

  • Acting in space and time
  • Perception and prediction across virtual and physical environments
  • Large-scale gaming data via Medal platform

Key facts

  • Raised $320M at $2.3B valuation
  • Backed by Khosla Ventures
  • Builds on Medal platform used by millions of gamers
More about General Intuition →
Apply on the lab’s site ↗