Research Engineer/Scientist, Confidential Computing

Build and test verification tools for AI datacenters using hardware attestation and cryptography to enable trustworthy international agreements.
- Establish what GPU confidential-computing attestation guarantees and does not, then design and build a registry for verifying attested claims.
- Build attested logging and pipelines that remain secure under adversarial conditions, chaining attestations across production systems.
- Work with cryptographers and hardware-security colleagues to combine attestation with cryptographic techniques; publish findings for external verification.
- Requires strong systems security fundamentals or hands-on confidential computing experience (SGX, TDX, SEV-SNP, Arm CCA, or GPU enclaves).
- ML inference serving, audit/PKI, or privacy-preserving computation experience valued; ability to thrive in ambiguous, early-stage environments essential.

SASH is a Singapore-based nonprofit that builds AI safety research capacity and governance expertise across Asia.