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

France

Apply Now

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

Requirements

Candidates must possess a PhD or Master's degree in Computer Science, Applied Math, or a related field, or have equivalent experience. A minimum of 5 years of experience in designing, developing, testing, maintaining, and optimizing production software using CUDA and C++ is required. Strong fundamentals in finite precision arithmetics and numerical methods for linear algebra are essential, along with good knowledge of GPU or CPU hardware architecture. Excellent teamwork, communication, and documentation skills are also necessary.

Responsibilities

The Senior Math Libraries Engineer will be responsible for scoping, designing, and implementing high-quality, high-performance numerical dense linear algebra software on GPUs. They will provide technical leadership and feedback to other engineers, mentor interns, and collaborate with product management and customers to understand requirements and define technical roadmaps. The role also involves identifying opportunities to improve library performance and reduce code maintenance through re-architecting.

Skills

CUDA

C++

GPU hardware architecture

CPU hardware architecture

Finite precision arithmetics

Numerical methods for linear algebra

CUTLASS

Assembly

Software design

Software development

Software testing

Performance optimization

Algorithm development

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.

Land your dream remote job 3x faster with AI

Try Jobo Free