Senior Math Libraries Engineer – AI and HPC at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI, HPCIndustries

Requirements

PhD, Master’s, or Bachelor’s degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience)
8+ years of experience in designing, developing, testing, maintenance, and performance optimization of HPC software using C++
Strong fundamentals in kernel generation and composable library design for linear algebra
Leadership skills in driving software development projects
Strong collaboration, communication, and documentation habits
Kernel generation. JIT focus/experience desired

Responsibilities

Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs
Owning the execution of projects involving multiple engineers and sometimes teams
Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns
Working closely with product management and other internal and external customers to understand feature and performance requirements and contribute to the technical roadmaps of libraries
Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting

Skills

Key technologies and capabilities for this role

C++GPULinear AlgebraKernel GenerationJITingHPCDense Linear AlgebraComposable Libraries

Questions & Answers

Common questions about this position

What is the salary for this Senior Math Libraries Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What are the required qualifications and skills for this role?

Candidates need a PhD, Master’s, or Bachelor’s degree in Computer Science, Applied Math, or related field (or equivalent), 8+ years of experience in HPC software using C++, strong fundamentals in kernel generation and composable library design for linear algebra, leadership skills, and strong collaboration, communication, and documentation habits.

What is the company culture like at NVIDIA for this team?

NVIDIA has forward-thinking and hardworking people, offers technical leadership opportunities, mentoring, close collaboration with product management and customers, and emphasizes creativity, autonomy, and passion for advancing AI and machine learning.

What experience will make me stand out as a candidate?

Experience with parallel programming using CUDA, MPI, OpenMP, OpenACC, or pthreads; understanding of Machine Learning, Deep Learning, and GPU architecture; low-level programming with assembly for optimization; agile practices with JIRA; and proficiency in a scripting language like Python will help you 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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