About the role
- Help engineer core components of the Sentient Enclaves Framework (SEF)
- Run benchmarking and evaluation pipelines to measure TEE performance and compare with alternative TEE offerings
- Collaborate with Sentient researchers to design trustless evaluation protocols for open-source AI models and contributions.
- Publish academic papers and technical reports in the field of TEEs, confidential AI, and secure AI governance.
- Contribute to Sentient’s open-source ecosystem, documenting findings and presenting results to the broader community.
Requirements
- Enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Mathematics, Electrical/Computer Engineering, Cryptography, or related fields.
- Strong academic background in systems, security, or hardware (e.g., operating systems, computer architecture, or applied cryptography).
- Working knowledge of Rust (preferred) or systems programming languages such as C/C++.
- Familiarity with at least one TEE technology (Intel SGX, AMD SEV-SNP, Intel TDX, AWS Nitro, NVIDIA GPU-TEE).
- Prior research experience or publications in security, cryptography, or confidential computing is a plus.
- Self-driven, able to balance coursework with meaningful contributions to a pioneering open-source AI project.
- Competitive salary
- Top-of-the-line engineers and technology
- Opportunity to shape the direction of a pioneering open AI platform
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
RustCC++operating systemscomputer architectureapplied cryptographybenchmarkingevaluation pipelinestrustless evaluation protocolsconfidential computing
Soft skills
self-drivencollaborationdocumentationpresentation