Senior Software Architect Networking 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, Networking, DatacenterIndustries

Requirements

M.S./Ph.D. degree in CS/CE or equivalent experience
5+ years of relevant experience
Excellent C/C++ programming and debugging skills
Experience with network simulations
Deep understanding of RDMA
Proven fundamentals of compute, network architecture and operating systems
Strong experience with Linux
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Perform networking simulations of communication patterns prevalent in AI applications, such as using NCCL
Design and implement new techniques and protocols to accelerate the communication performance
Explore innovative solutions in HW and SW for our next generation platforms as part of programmable RoCE architecture
Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations
Use simulation to explore performance of AI applications on large GPU clusters

Skills

Key technologies and capabilities for this role

C/C++RDMARoCEv2NCCLNetworking SimulationGPU ClustersProgrammable RoCE

Questions & Answers

Common questions about this position

What is the salary for this Senior Software Architect Networking position?

This information is not specified in the job description.

Is this role remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for this networking software architect role?

Required skills include excellent C/C++ programming and debugging, experience with network simulations, deep understanding of RDMA, proven fundamentals of compute, network architecture and operating systems, and strong experience with Linux.

What is the company culture like at NVIDIA Networking?

The team consists of forward-thinking and hardworking people in rapidly growing engineering teams, emphasizing a multi-national, multi-time-zone environment that values effective communication, collaboration, and passion for accelerated computing.

How can I stand out as a candidate for this role?

Stand out with expertise in related technology and passion for the work, experience with NCCL Collectives along with AI communication patterns and parallelization techniques, and strong collaborative and interpersonal skills with a proven track record of guiding and influencing in dynamic environments.

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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