Senior Software Architect, AI Networking at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Computer Graphics, Accelerated ComputingIndustries

Requirements

M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related field—or B.Sc. with research experience and publications
5+ years of relevant experience
Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing)
Strong software engineering skills in C++ and/or Python
Excellent system-level design and problem-solving abilities
Outstanding communication and collaboration skills across technical domains

Responsibilities

Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement
Analyze current deployments, develop prototypes, and recommend architectural improvements
Stay abreast of the latest research; become the team’s authority in emerging networking techniques and technologies
Design, simulate, and validate new systems using novel, scalable network simulator NSX
Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1)
Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features
Publish patents and present research at leading conferences

Skills

AI Networking

LLM

Distributed AI Training

Inference

GPU Clusters

Networking Platform

Compute Scheduling

System Optimization

Job Scheduling

Failure Resiliency

Telemetry

End-to-End Architecture

Prototyping

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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