Senior Networking Application Engineer - NVLINK and Infiniband at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPC, NetworkingIndustries

Requirements

10+ years’ experience with computer software, knowledge of Linux kernel, Ethernet and IP protocols
B.Sc, Masters, Ph.D., or equivalent, in Computer Science, Electrical Engineering, or related technical field
Familiarity with the Infiniband spec
Experience with distributed processing, HPC, and Message Passing Interface (MPI)
Strong analytical and problem-solving skills, with attention to details
Ability to work collaboratively and be willing to work directly with customers

Responsibilities

Support NVIDIA networking technologies such as Infiniband and NVLINK in AI clusters
Work with customers on their technical challenges and requirements using said technologies during pre-sales activities
Develop proof-of-concept materials for innovative technologies for use by early adopters
Gain customers’ trust and understand their needs to help design and deploy cutting-edge NVIDIA networking platforms to run AI and HPC workloads
Address sophisticated and highly visible customer issues
Work closely with R&D teams to develop new features for customers
Help with product requirements alongside engineering and product marketing

Skills

Key technologies and capabilities for this role

InfiniBandNVLINKLinux kernelEthernetIP protocolsMPIHPCdistributed processing

Questions & Answers

Common questions about this position

What experience is required for the Senior Networking Application Engineer role?

Candidates need 10+ years’ experience with computer software, knowledge of Linux kernel, Ethernet and IP protocols, familiarity with the Infiniband spec, experience with distributed processing, HPC, and Message Passing Interface (MPI), plus strong analytical and problem-solving skills.

What is the salary for this position?

This information is not specified in the job description.

Is this a remote position, or what is the location requirement?

This information is not specified in the job description.

What does NVIDIA's company culture emphasize for this team?

NVIDIA seeks motivated, personable, and independent individuals, values working closely with customers and R&D teams, and emphasizes agency to impart palpable effects on the business in a collaborative environment.

What makes a candidate stand out for this role?

Stand out with coding experience in multiple languages like C, Perl, Python, and shell scripts, knowledge of cloud infrastructure and AI workflows, expertise in Infiniband diagnostics and debugging, and celerity in Linux environment and networking.

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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