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$50.5K

$130.1K

$174K

How much do research scientist cryptography jobs pay per year?

As of Aug 28, 2026, the average yearly pay for research scientist cryptography in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a research scientist in cryptography do?

A Research Scientist in Cryptography studies, designs, and analyzes cryptographic algorithms and protocols to ensure data privacy and security. Their work typically involves developing new encryption methods, analyzing existing systems for vulnerabilities, and publishing findings in academic journals or conferences. They often collaborate with other researchers, engineers, and industry partners to solve complex security challenges and help protect sensitive information in various applications, such as communications, finance, and cloud computing.

What are the key skills and qualifications needed to thrive as a research scientist in cryptography?

To thrive as a Research Scientist in Cryptography, you need deep expertise in mathematics, computer science, and cryptographic algorithms, typically supported by a PhD or advanced degree. Familiarity with cryptographic libraries, programming languages like Python or C++, and knowledge of security protocols and standards are usually required. Critical thinking, problem-solving, and the ability to communicate complex concepts clearly set outstanding candidates apart. These skills are crucial for developing secure systems, advancing cryptographic research, and effectively collaborating with interdisciplinary teams.

What are some common challenges faced by research scientists in cryptography when developing secure protocols?

Research Scientists in Cryptography often encounter challenges such as balancing security with computational efficiency, keeping up with rapidly evolving cryptographic attacks, and ensuring new protocols are both mathematically sound and practically implementable. Collaborating across interdisciplinary teams, including software engineers and security analysts, is essential to translate theoretical advancements into real-world applications. Additionally, staying current with industry standards and regulatory requirements is crucial to ensure solutions meet both academic and commercial needs.

What is the difference between Research Scientist Cryptography vs Data Scientist?

AspectResearch Scientist CryptographyData Scientist
Required CredentialsAdvanced degrees in Computer Science, Mathematics, or related fields; cryptography certificationsDegree in Computer Science, Statistics, or related fields; data analysis certifications
Work EnvironmentResearch labs, tech companies, academia; focus on security and encryptionBusiness environments, tech firms, startups; focus on data analysis and insights
Employer & Industry UsageCybersecurity, finance, government agenciesTech companies, marketing firms, healthcare

Research Scientist Cryptography and Data Scientist roles share a focus on data and technical expertise but differ in their core objectives. Cryptography specialists focus on security protocols and encryption, while Data Scientists analyze data to derive insights. Both roles require strong technical skills, but their work environments and industry applications vary significantly.

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Research Scientist Cryptography jobs near you
Infographic showing various Research Scientist Cryptography job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Cryptography Research Scientist, FHE

LG Electronics

Santa Clara, CA • Hybrid

Full-time

Re-posted 8 days ago

LG Electronics rating

7.1

Company rating: 7.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

114th of 159 rated electronics manufacturers

Job description

About the Team - LG's Emerging Technology Lab

LG's Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG's CTO organization. Located in the Silicon Valley and New Jersey, we drive excellence across CTO organizations and business units by pioneering in select emerging technology areas. As the Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships to deliver measurable business value.

 

Position Overview

We are seeking a highly motivated Cryptography Research Engineer / Scientist to join our Advanced Security team located in Santa Clara, CA. This can be a hybrid position.

The Cryptography Research Scientist will be working on next-generation cryptographic technologies, with a primary focus on Fully Homomorphic Encryption (FHE) and additional involvement in Post-Quantum Cryptography (PQC). This position is intended for early-career researchers, typically candidates with a PhD and 0-2 years of relevant research or industry experience.

This role is centered on the research, optimization, implementation, and deployment of privacy-enhancing technologies for real-world applications. The ideal candidate will have strong mathematical foundations in modern cryptography, hands-on software development skills, and a passion for translating advanced cryptographic concepts into practical systems and Proof-of-Concept (PoC) demonstrations.

The candidate will work on cutting-edge problems involving encrypted computation, privacy-preserving AI/analytics, and quantum-safe cryptographic systems.

Key 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.

Required Qualifications

  • 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.

Preferred Qualifications

  • 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.

Please Note: the salary range listed is dependent on the experience of the candidate. There are additional incentives to this compensation package.

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