Cryptography Research Scientist

Responsibilities

• Conduct advanced research and development in Fully Homomorphic Encryption (FHE) and related privacy-enhancing technologies
• Design, optimize, and implement FHE algorithms and pipelines for practical applications
• Develop high-performance implementations for privacy-preserving AI/ML inference, secure analytics, and confidential cloud computation
• Develop and demonstrate Proof-of-Concept (PoC) systems showcasing practical FHE applications
• Evaluate and integrate modern FHE frameworks such as OpenFHE, Microsoft SEAL, and TFHE
• Contribute to research and development in Post-Quantum Cryptography (PQC), including lattice-based cryptography
• Collaborate with cross-functional engineering and product teams to transition research into deployable technologies

Requirements

• PhD in Computer Science, Mathematics, Electrical Engineering, Cryptography, or a related field
• 0-2 years of relevant industry experience
• Strong theoretical background in modern cryptography, particularly lattice-based cryptography or FHE
• Hands-on experience implementing cryptographic algorithms and optimizing performance-critical systems
• Proficiency in C++, Python, CUDA, or Rust
• Familiarity with one or more FHE libraries/frameworks
• Strong understanding of algorithm optimization and computational complexity

Preferred Qualifications

• Experience with GPU acceleration and high-performance computing
• Familiarity with CKKS, TFHE, BFV, or BGV schemes
• Experience with encrypted machine learning or privacy-preserving AI systems
• Knowledge of Post-Quantum Cryptography standards and NIST PQC algorithms
• Publications or open-source contributions in cryptography or security

About the Company

LG's Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG’s CTO organization, pioneering select emerging technology areas to deliver measurable business value.