Senior Software Architect, AI 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, AI, SemiconductorsIndustries

Requirements

Master's or Ph.D. in Computer Science, Electrical or Computer Engineering or equivalent experience
At least 8 years of relevant academic or confirmed experience in the field
Comprehensive understanding of AI workloads (primarily inference, but also training) and their impact on network infrastructure
Strong proficiency in areas such as Machine Learning/Deep Learning fundamentals, inference runtimes, and Deep Learning frameworks
Proficiency in C or C++ for systems software development; familiarity with Rust is an advantage

Responsibilities

Research, design, and implement advanced AI networking technologies with an emphasis on accelerating inference workloads using NVIDIA Inference Xfer Library (NIXL)—a high-throughput, low-latency communication library for asynchronous, efficient data transfers across GPUs, CPUs, and various storage targets
Collaborate with other teams across NVIDIA's hardware, software, and research units to co-design hardware-accelerated and software solutions for AI inference
Own the creation of prototypes and solutions for next-generation AI inference systems
Drive architectural decisions underpinning the deployment and scaling of AI inference using NVIDIA’s innovative technology

Skills

Key technologies and capabilities for this role

AI NetworkingNVIDIA Inference Xfer LibraryNIXLGPUDistributed SystemsAI InferenceLarge Language ModelsGenerative AIHigh-Throughput CommunicationLow-Latency Data TransferHardware AccelerationSoftware ArchitecturePrototypingScalability

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer?

NVIDIA offers competitive salaries and a generous benefits package.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a Master's or Ph.D. in Computer Science, Electrical or Computer Engineering or equivalent, at least 8 years of relevant experience, comprehensive understanding of AI workloads, strong proficiency in Machine Learning/Deep Learning fundamentals and frameworks, and proficiency in C or C++ for systems software development.

What is the company culture like at NVIDIA?

NVIDIA provides a diverse, supportive environment where everyone is inspired to do their best work, fueled by great technology and amazing people, with forward-thinking and hardworking teams.

What makes a strong candidate for this Senior Software Architect role?

A strong candidate is a creative and autonomous engineer with a real passion for technology, along with the required advanced degree, 8+ years of experience, and expertise in AI workloads and systems programming.

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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