System Software Architect, HPC Networking 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

Technology, High Performance Computing, Artificial IntelligenceIndustries

Requirements

Bachelor’s degree in engineering, Computer Science, Mathematics or Physics or equivalent experience with 10+ years of proficiency in networking fundamentals, Switching, Routing, TCP/IP, and data center architecture
Strong Ethernet, TCP/IP and Routing hands-on experience including BGP, VxLAN and EVPN (8+ years)
Network troubleshooting using a Sniffer (8+ years)
Strong Linux administration expertise with understanding of system-level issues, kernel drivers, PCIe devices, and computer hardware architecture (8+ years)
Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations (6+ years)
Extensive experience in consulting or/and technical support (6+ years)
Background in datacenter engineering, CLOS networking architecture, or cloud applications is advantageous (4+ years)
Plays a pivotal role in automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python (3+ years)
Proactive individual who can work independently, while prioritizing tasks to optimize technology and enhance customer experience
Strong abilities with technical presentations, providing internal and customers training
Ability to travel domestic and international up to 25% of the time as well as work non-standard working hours like during nights and weekends when needed

Responsibilities

Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking solutions
Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
Crafting and evaluating DevOps automation scripts for network operations, crafting architectures, and developing switch fabric configurations
Implementing tasks related to network configuration and validation for data centers
Create Methods of Procedure and deployment documents
Validate network architectures and configs in the lab
Interact with customers to obtain required information to design and build an optimal solution
Use software tools to validate and monitor network performance

Skills

Ethernet

Routing

DevOps

Automation Scripting

Network Architecture

Switch Fabric

Data Center Networking

HPC

GPU Computing

Debug Analysis

Network Configuration

Network Validation

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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