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Cryptography Research Scientist, FHE & PQC

Remote, USA Full-time Posted 2026-06-15

LG Electronics North America is a global leader in technology dedicated to creating innovative solutions for a better life. They are seeking a highly motivated Cryptography Research Scientist to join their Advanced Security team, focusing on next-generation cryptographic technologies, particularly Fully Homomorphic Encryption (FHE) and Post-Quantum Cryptography (PQC). The role involves conducting research, optimizing implementations, and deploying privacy-enhancing technologies for real-world applications.


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 and deployment scenarios
  • Develop high-performance implementations for specialized use cases, including: privacy-preserving AI/ML inference, secure analytics and recommendation systems, confidential cloud computation
  • Develop and demonstrate Proof-of-Concept (PoC) systems showcasing practical FHE applications
  • Evaluate and integrate modern FHE frameworks and libraries such as: OpenFHE, HEAAN/CKKS-based frameworks, TFHE, Microsoft SEAL, PALISADE, Concrete, or related technologies
  • Contribute to research and development efforts in Post-Quantum Cryptography (PQC), including lattice-based cryptography and quantum-safe migration technologies
  • Collaborate with cross-functional engineering and product teams to transition research into deployable technologies
  • Track emerging developments in cryptography, privacy-enhancing technologies, and quantum-safe security

Skills

  • PhD in Computer Science, Mathematics, Electrical Engineering, Cryptography, or a related field, with 0-2 years of relevant industry experience
  • Strong theoretical background in modern cryptography, particularly lattice-based cryptography and/or Fully Homomorphic Encryption
  • Hands-on experience implementing cryptographic algorithms and optimizing performance-critical systems
  • Strong programming skills in languages such as: C++, Python, CUDA, Rust, or similar
  • Familiarity with one or more FHE libraries/frameworks
  • Strong understanding of algorithm optimization, computational complexity, and memory-performance tradeoffs
  • Ability to independently drive research ideas into working prototypes and PoCs
  • Strong analytical, problem-solving, and communication skills
  • Experience with GPU acceleration and high-performance computing for cryptographic workloads
  • 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 (e.g., ML-KEM/Kyber, ML-DSA/Dilithium)
  • Publications or open-source contributions in cryptography, security, or privacy-enhancing technologies
  • Experience working in research labs or advanced technology development environments

Benefits

  • No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
  • Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
  • Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
  • Performance based Short-Term Incentives (varies by role).
  • Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
  • Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
  • Group Rate Life and Disability Insurance.
  • Eligible for the relevant benefit programs offered through our partner agencies.

Company Overview

  • At LG, we provide products and services aimed at helping people—at home, at work, or wherever life takes them. It was founded in 1978, and is headquartered in Englewood Cliffs, NJ, US, with a workforce of 1001-5000 employees. Its website is https://www.lg.com/us.

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