Senior Math Libraries Engineer, Post Quantum Cryptography at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

PhD or MSc degree in Applied Mathematics, Computer Science, or related science or engineering field (preferred, or equivalent experience)
5+ years of experience designing and developing software for cryptography in low latency or high throughput environments
Strong mathematical foundations
Advanced C++ skills, including modern design paradigms (e.g., template meta-programming, SFINAE, RAII, constexpr, etc.)
Strong collaboration, communication, and documentation habits

Responsibilities

Develop and optimize scalable high-performance cryptographic primitives, algorithms, and building blocks on the latest GPU hardware architectures
Emphasize robust long-term software architectures and designs that effectively use many generations of hardware
Work closely with internal (product management, engineering) and external partners to understand feature and performance requirements and deliver timely cuPQC releases

Skills

Key technologies and capabilities for this role

Post-Quantum CryptographyCryptographic AlgorithmsMathematical PrimitivesGPU OptimizationCUDAHigh-Performance ComputingNVIDIA GPUsPrivacy-Enhancing TechnologiesAPI DesignSoftware Architecture

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Math Libraries Engineer role?

A PhD or MSc in Applied Mathematics, Computer Science, or related field is preferred (or equivalent experience), along with 5+ years of experience designing and developing software for cryptography in low latency or high throughput environments.

What are the key technical skills needed for this position?

Candidates need strong mathematical foundations, advanced C++ skills including modern design paradigms like template meta-programming, SFINAE, RAII, and constexpr.

What salary or compensation does this role offer?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Experience developing libraries consumed by many users, CUDA C++ and GPU computing, programming skills with automation setups like cmake and CI/CD, and strong understanding of mathematical foundations in cryptography will help candidates stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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