Senior Datacenter System Software Architect - DGX Cloud 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, Cloud Computing, DatacenterIndustries

Requirements

Masters or PhD in Computer Science, Computer Engineering, Physics or equivalent experience
9+ years of experience in this field
Data Sciences, Deep Learning, or Machine Learning coursework
Ability to seamlessly shift between Linux system environments to Python programming
Programming skills in 1 or more high-level languages (C, C++, Go, Rust, etc)
System-level experience with both hardware and software
Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills
Strong design, coding, analytical, debugging and problem-solving skills
Passion for continuous learning and knowledge transfer
Ability to work concurrently with multiple groups locally and abroad in the organization

Responsibilities

Lead technical activities for data centers with focus on hybrid deployments between cloud and on-prem
Provide expertise in infrastructure workflows, including hardware, software release, workload orchestration and application tuning
Provide fast and creative solutions for complex problems and write effective, clear and reliable architecture specification
Translate requirements to vision, architecture and roadmap
Work with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications
Lead the architecture, design and implementation of next generation DGX cloud clusters using latest technologies
Perform full stack deployment including hardware architecture, workload orchestration and application performance tuning

Skills

Distributed Systems

System Software

Hardware Architecture

Workload Orchestration

Application Performance Tuning

Software Testing

Software Deployment

Infrastructure Workflows

AI Training

Cloud Clusters

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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