Senior HPC Architect at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
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

HPC
GPU
Deep Learning
System Administration
Cluster Deployment
Performance Tuning
Accelerated Computing
OS
Datacenter
Parallel Computing
AI

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