[Remote] Senior Math Libraries Engineer – Emulation in AI and HPC at NVIDIA

France

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, GPU Computing, Software DevelopmentIndustries

Skills

Key technologies and capabilities for this role

CUDAC++GPU hardware architectureCPU hardware architectureFinite precision arithmeticsNumerical methods for linear algebraCUTLASSAssemblySoftware designSoftware developmentSoftware testingPerformance optimizationAlgorithm development

Questions & Answers

Common questions about this position

What education is required for this Senior Math Libraries Engineer role?

A PhD or Master’s degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience) is required.

What experience is needed for this position?

Candidates need 5+ years of experience in designing, developing, testing, maintenance, and performance optimization of production software using CUDA and C++.

What are the key skills required for this role?

Strong fundamentals in finite precision arithmetics and numerical methods for linear algebra, good knowledge of GPU or CPU hardware architecture, and great teamwork, communication, and documentation habits are required.

What compensation and benefits does NVIDIA offer?

NVIDIA offers competitive salaries and a generous benefits package.

What makes a candidate stand out for this position?

Experience with CUTLASS, low-level programming like assembly for performance optimization, a scripting language like Python, or working in a globally-distributed team 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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