ABOUT THIS JOBWe are hiring a Principal Engineer to bring the open agent-governance stack we help lead into the heart of the platform. The open projects (the Agent Governance Toolkit, Confidential MCP, Agent Manifest, and TRACE, under agentrust-io) define how autonomous agents prove what they did. You will harden them into our two commercial layers: OPAQUE Agent Control™, the software governance layer built on AGT that controls every agent, and OPAQUE Confidential Core™, the hardware and TEE layer that proves every action. Software helps you build; hardware helps you scale; verifiable AI requires both.
This is a deeply technical, customer-facing engineering role that spans software and silicon. You will own the integration end to end, ship it as platform offerings like OPAQUE Confidential MCP™ and OPAQUE Confidential Agents™, represent OPAQUE in the standards communities defining this space, and carry the work from open-source spec to scaled, attested product.
What you will do
- 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: a governed agent workflow that emits a single hardware-rooted, independently verifiable record.
- Production-harden and scale the confidential agent path across multi-cloud Confidential Containers (AKS, GKE) to enterprise reliability and latency targets.
- Ship platform offerings such as OPAQUE Confidential MCP and OPAQUE Confidential Agents on top of that foundation.
- Work directly with customers to turn their hardest confidential-AI problems into platform capabilities.
- Represent OPAQUE as a technical contributor in the foundations that standardize this work (Agentic AI Foundation, CoSAI): upstream contributions, spec influence, and credibility in the community.
- Make the open-source-to-product calls: what to harden, what to keep experimental, what to upstream.
What we are looking for
- 10+ years building production systems, with depth across both 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 on attestation).
- Strong cryptographic engineering fundamentals.
- Fluency in Go and/or Rust; comfort in Python and the agent frameworks (LangChain, LangGraph, CrewAI, AutoGen).
- Experience scaling distributed systems on Kubernetes, ideally multi-cloud.
- Demonstrated customer curiosity: you start from the user's problem and work back to the architecture.
- A track record in open source and standards: shipped meaningful upstream work and can represent a company technically in a community.
- Bonus: prior work in agent governance, policy engines (Cedar), SBOM/supply-chain, or verifiable credentials.
