Senior HPC Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High Performance ComputingIndustries

Requirements

5+ years of experience using accelerated computing for datacenter/HPC-based Enterprise computing solutions
Solid understanding of accelerated computing scheduling and I/O stacks
C/C++/Python/Bash programming/scripting experience
Experience working with engineering or academic research community supporting high performance computing or deep learning
Experience with parallel filesystems
Strong teamwork and communication skills, both verbal and written
Ability to multitask effectively in a dynamic environment
Action driven with strong analytical skills
Desire to be involved in multiple diverse and innovative projects
BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. MS or PhD desirable

Responsibilities

Provide engineering solutions to operationalize the latest GPU Computing products and software stacks
Ensure technical relationships with internal and external engineering teams
Assist systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology
Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community
Support deployment and bringup of large-scale GPU compute clusters
Provide insights on and implement at-scale system administration and tuning mechanisms for large-scale compute runs
Work with the latest accelerated computing and Deep Learning software and hardware platforms
Interact with HPC, OS, GPU compute, and systems specialists to architect, develop and bring up large scale performance platforms

Skills

Key technologies and capabilities for this role

HPCGPUDeep LearningSystem AdministrationCluster DeploymentPerformance TuningAccelerated ComputingOSDatacenterParallel ComputingAI

Questions & Answers

Common questions about this position

What is the salary for the Senior HPC Architect position?

This information is not specified in the job description.

Is this a remote position or is there a required location?

This information is not specified in the job description.

What skills are required for the Senior HPC Architect role?

Required skills include 5+ years of experience in accelerated computing for datacenter/HPC, solid understanding of accelerated computing scheduling and I/O stacks, C/C++/Python/Bash programming/scripting, experience with parallel filesystems, and strong teamwork and communication skills.

What is the company culture like at NVIDIA?

NVIDIA is a 'learning machine' that constantly evolves by adapting to new opportunities, with a diverse team focused on amplifying human imagination and intelligence through innovations in GPU computing and AI.

What makes a candidate stand out for this Senior HPC Architect role?

Candidates can stand out with deep learning framework skills, exposure to telemetry and visualization pipelines, and experience with container technology and Linux performance tools, in addition to the required qualifications.

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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