Principal Engineer, Confidential AI

About OPAQUE OPAQUE is the Confidential AI company born from UC Berkeley’s RISELab, solving security concerns around AI adoption at scale. It provides verifiable privacy and governance for AI so organizations can safely run models, agents, and workflows on their most sensitive data. The platform delivers runtime governance backed by cryptographic proof that data, models, and agent actions remain private, governed, and compliant with approved policies throughout every AI workflow. Customers include ServiceNow, Anthropic, Encore Capital, Accenture, and leaders across high tech, financial services, insurance, and healthcare. Principal Engineer – Open Agent Governance Stack This deeply technical, customer‑facing engineering role spans software and silicon. You will own end‑to‑end integration, ship platform offerings, represent OPAQUE in standards communities, and bring open‑source specifications into scaled, attested products. Responsibilities Own the integration of the open agent‑governance stack (Confidential MCP, Agent Manifest, TRACE) into OPAQUE Agent Control and OPAQUE Confidential Core, bound to hardware attestation and TEEs (AMD SEV‑SNP, Intel TDX, NVIDIA Confidential Computing). Make policy enforcement and verifiable evidence run inside the TEE, producing a hardware‑rooted, independently verifiable record. Production‑harden and scale the confidential‑agent path across multi‑cloud Confidential Containers (AKS, GKE) to meet enterprise reliability and latency targets. Ship platform offerings such as OPAQUE Confidential MCP and OPAQUE Confidential Agents. Work directly with customers to turn their toughest confidential‑AI problems into platform capabilities. Represent OPAQUE as a technical contributor in standardization initiatives (Agentic AI Foundation, CoSAI). Make open‑source‑to‑product decisions on hardening, experimentation, and upstream contributions. Qualifications 10+ years building production systems with depth across application software and low‑level/systems work. Hands‑on confidential computing / TEE experience (SEV‑SNP, TDX, NVIDIA CC) and fluency in attestation (RATS, EAT, measured boot, key release). Strong cryptographic engineering fundamentals. Fluency in Go and/or Rust; familiarity with Python and agent frameworks (LangChain, LangGraph, CrewAI, AutoGen). Experience scaling distributed systems on Kubernetes, ideally multi‑cloud. Demonstrated customer curiosity: start from the user’s problem and work back to the architecture. Track record in open source and standards: delivered upstream work and represented a company technically in a community. Bonus: prior work in agent governance, policy engines (Cedar), SBOM/supply‑chain, or verifiable credentials. Equal Employment Opportunity As set forth in Opaque Systems’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Opaque Systems