AI Research Engineer

The Role:

Emergent runs a massive, multi-tenant, AI-driven execution environment where code is generated and executed continuously. You will secure the infrastructure that powers autonomous software creation.

What You'll Do:

Secure Multi-Tenant Execution Environments

• Design sandboxing strategies for untrusted code execution
• Prevent container escapes, privilege escalation, and lateral movement
• Build isolation at compute, network, and storage layers

Own Cloud Security Architecture

• Harden AWS/GCP infrastructure across IAM, VPCs, secrets, and workloads
• Design zero-trust systems across services
• Build secure service-to-service communication

Runtime Security and Detection

• Build detection systems for abnormal execution patterns, malicious workloads, and data exfiltration attempts
• Integrate logging, SIEM, and real-time alerting

Secure CI/CD and Agent Pipelines

• Protect build systems and deployment pipelines
• Prevent supply chain attacks in AI-generated code
• Ensure integrity of artifacts

What We're Looking For:

• 6 to 12 years in Cloud or Infrastructure Security
• Deep experience with AWS/GCP, Kubernetes, containers, and IAM and secrets management
• Strong understanding of container security, network security, and runtime protection

What Sets You Apart:

• Experience with sandboxed execution environments, serverless or ephemeral compute, and high-scale multi-tenant systems
• You think like: "What happens when millions of unknown programs run on my infra?"