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We are seeking a Security Research Fellow to join Sentient Labs and work at the intersection of cryptography, hardware security, and open-source AI. This part-time or full-time role is designed for students (undergraduate, master’s, or PhD) who are excited to dive deep into Trusted Execution Environments (TEEs) and contribute to the Sentient Enclaves Framework—our TEE stack for confidential inference and trustless AI evaluation. As a fellow, you will gain hands-on engineering experience, collaborate on real-world evaluations of TEEs, and become a subject-matter expert through original research and publications in the area of confidential computing.
Job Responsibility:
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)
Self-driven, able to balance coursework with meaningful contributions to a pioneering open-source AI project
Nice to have:
Prior research experience or publications in security, cryptography, or confidential computing is a plus
What we offer:
Competitive salary
Top-of-the-line engineers and technology
Opportunity to shape the direction of a pioneering open AI platform