Evans & Chambers
Software Engineer - Confidential Computing
Evans & Chambers, New York, New York, United States
Software Engineer - Confidential Computing
Title
Software Engineer - Confidential Computing ID
10000228 Department
Information Technology 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 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.
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Title
Software Engineer - Confidential Computing ID
10000228 Department
Information Technology 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 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.
#J-18808-Ljbffr