Job Description
Evans & Chambers is seeking a highly skilled
Software Engineer and subject matter expert in confidential computing to design and build a secure model handling pipeline. This role will be part of a team implementing a confidential computing framework for protecting AI/ML models. You will be responsible for writing robust services and APIs that handle model encryption, validation, attestation workflows, and secure inference. Location: Remote (occasional meetings in Northern Virginia)
Clearance: U.S. Citizenship required; security clearance preferred but not mandatory
Responsibilities - Design and implement a data encryption workflow, including DEK generation, envelope encryption, and integration with HashiCorp Vault for key protection.
- Design and implement services that handle attestation, validation, and secure key management in confidential computing environments.
- Develop APIs for validating trusted execution environments and ensuring that workloads run only in approved, verified contexts.
- Build mechanisms to enforce strong cryptographic protections, including key management and encryption/decryption flows.
- Contribute to the design of systems that ensure end-to-end trust across CPU, GPU, and virtualized infrastructure.
- Implement robust audit logging and monitoring for sensitive operations.
Required Qualifications - U.S. Citizenship
- Strong Python development experience.
- Hands-on experience with confidential computing technologies (Intel TDX, AMD SEV-SNP, or similar).
- Experience working with virtualized compute environments (KVM, VMware, or cloud Nitro-based VMs).
- Experience implementing PKI-based encryption workflows and working with cryptographic libraries (RSA, AES, envelope encryption).
- Familiarity with attestation services/APIs (Intel Trust Authority, NVIDIA NRAS).
- Experience with distributed systems, REST API development, and secure audit logging.
Desired Qualifications - Experience integrating with HashiCorp Vault (Transit engine, key management).
- Understanding of secure enclave workflows, GPU-RSA, or NVTrust SDK.
- Knowledge of Zero Trust Architecture (ZTA) principles.
- TS/SCI security clearance preferred but not mandatory
Why Join Us This is an opportunity to work on the
cutting edge of confidential computing and secure AI/ML systems for national security. You’ll design systems that safeguard sensitive models and datasets while enabling secure collaboration across organizational boundaries.
All employment opportunities are made without regard to age, race, creed, color, religion, sex national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status or any other basis protected by law.
Job Tags
Remote work,