Cryptography Research Scientist, FHE & PQC
Tasks
- Build privacy preserving AI inference
- Collaborate to transition research into deployable technologies
- Conduct FHE research and development
- Contribute to post quantum cryptography research
- Design optimize and implement FHE algorithms
- Develop and demonstrate proof of concept systems
- Develop high performance FHE implementations
- Develop secure analytics and recommendation systems
- Enable confidential cloud computation
- Evaluate and integrate FHE frameworks and libraries
- Track emerging cryptography and privacy technologies
Perks/Benefits
- 401k matching
- Company holidays
- Fitness Goal Incentives
- Health Dental Vision Prescription Premiums
- Life and disability insurance
- Mental health resources
- Paid parental leave
- Paid time off
Skills/Tech-stack
Algorithm Optimization | BFV | BGV | C++ | CKKS | CUDA | Computational Complexity | Concrete | Encrypted Machine Learning | Fully homomorphic encryption | GPU Acceleration | High Performance | High-Performance Computing | Homomorphic Encryption | Lattice-based cryptography | Machine Learning | Memory Performance Tradeoffs | Memory performance | Microsoft SEAL | OpenFHE | PALISADE | Performance Computing | Performance tradeoffs | Post Quantum | Post-quantum cryptography | Python | Quantum Cryptography | Rust | TFHE
Education
Regions
Countries
States
Cities
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