NVIDIA

5 months ago

Senior System Software Architect, AI and GPU Networking

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior Architect leading architecture and development for AI data-center networking, optimizing AI workloads with GPU networking solutions, and co-designing hardware features across GPUs/DPUs and interconnects. You’ll drive technology evaluations, runtime systems, and AI-specific libraries while leading PoC efforts in a multi-national, multi-time-zone environment.

Location: Beijing, Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo, NVIDIA NIXL and NVIDIA UCX, tailored to the unique requirements of AI workloads.
•Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.
•Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
•Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies.
•Lead proof-of-concept development to evaluate and drive such technologies.

Key Requirements

•Hold a MSc or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
•8+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads.
•Experienced in algorithm design, system programming, computer architecture and operating systems.
•Experienced in virtualization, networking and storage.
•Strong programming and software development skills.

Experience:8+ yearsAIGPU NetworkingHPCSDN

Education:PhD / Doctorate

Skills:CommunicationProblem-solvingCollaboration

Tech Stack:NVIDIA DynamoNIXLUCXNCCLMPIGPUDPUsInterconnectsRuntime systems

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

5 months ago

Senior System Software Architect, AI and GPU Networking

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Beijing, Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo, NVIDIA NIXL and NVIDIA UCX, tailored to the unique requirements of AI workloads.
•Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.
•Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
•Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies.
•Lead proof-of-concept development to evaluate and drive such technologies.

Key Requirements

•Hold a MSc or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
•8+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads.
•Experienced in algorithm design, system programming, computer architecture and operating systems.
•Experienced in virtualization, networking and storage.
•Strong programming and software development skills.

Experience:8+ yearsAIGPU NetworkingHPCSDN

Education:PhD / Doctorate

Skills:CommunicationProblem-solvingCollaboration

Tech Stack:NVIDIA DynamoNIXLUCXNCCLMPIGPUDPUsInterconnectsRuntime systems

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor