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Fhenix is building an Ethereum layer-2 network with fully homomorphic encryption so that smart contracts can compute over encrypted data. The design allows confidential balances, sealed-bid auctions and private voting without trusted hardware. The Israeli team works closely with cryptography researchers on making the technique practical on-chain.
Job Description
Fhenix is seeking highly skilled Cryptographic Engineers to join our research team.
We are seeking highly skilled Cryptographic Engineers to join our research team. The ideal candidates will have strong expertise in parallel computing, and cryptographic engineering. You will work closely with our research team to implement, optimize, and accelerate cryptographic protocols on modern computing architectures, including GPUs.
Key Responsibilities:
- FHE Implementation & Optimization: Develop and optimize implementations of Fully Homomorphic Encryption schemes.
- Parallel Computing: Design and implement parallelized cryptographic algorithms, particularly for GPU-based acceleration.
- Cryptographic Engineering: Develop efficient and secure implementations of cryptographic protocols in C/C++ (must) and CUDA (preferred).
- Research Integration: Analyze cryptographic research papers and translate theoretical concepts into practical implementations.
- Self-Management & Collaboration: Work independently while coordinating effectively with a research team to align with project goals.
Required Skills & Qualifications:
- Ability to manage oneself professionally, set priorities, and meet deadlines.
- Expertise in parallel computing and GPU programming (CUDA preferred).
- Proficiency in CUDA or C/C++ .
- The ability to read, understand, and implement cryptographic papers with strong mathematical orientation.
- Experience with high-performance computing (HPC) and optimizing cryptographic operations for parallel execution - advantage.
Preferred Qualifications:
- Experience with multi-threaded programming and hardware acceleration.
- Prior experience with FHE libraries (e.g., SEAL, Lattigo, TFHE, HEAAN).
- Understanding of secure computation techniques beyond FHE (e.g., MPC, ZKP).
- Familiarity with compiler optimizations for cryptographic workloads.
If you are passionate about cryptographic research, GPU acceleration, and cutting-edge security applications, we encourage you to apply!
Submit Your Application
You’ll do work that challenges you, with people who inspire you, and together, we’ll build something that truly matters.
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