Senior Software Architect, GPU Networking at NVIDIA

Santa Clara, California, United States

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$184,000 – $356,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering (or equivalent experience)
8+ years of proven experience as a software architect
Proven Networking experience
A teammate with a can-do attitude, high energy and excellent interpersonal skills
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI networks which involves innovative software and hardware
Promote team specs and activities with US based customers and GPU Networking peers
Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane
Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects

Skills

Key technologies and capabilities for this role

SDNInfiniBandKubernetesGPU NetworkingSoftware ArchitectureNetworkingDistributed AIDeep LearningVirtualizationStorage

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Software Architect position?

The base salary range is 184,000 USD - 356,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

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

This information is not specified in the job description.

What are the required qualifications and skills for this role?

Candidates need a B.Sc., M.Sc., or Ph.D. in Computer Science, Electrical or Computer Engineering (or equivalent), 8+ years of proven experience as a software architect, proven networking experience, a can-do attitude, high energy, excellent interpersonal skills, and ability to work in a multi-national, multi-time-zone environment.

What is the company culture like at NVIDIA?

NVIDIA has forward-thinking and hardworking people, values creative and autonomous individuals, and is committed to fostering a diverse work environment as an equal opportunity employer.

What experience will make me stand out for this position?

SDN definition/development experience, InfiniBand hands-on experience, experience in Kubernetes, and stellar communication skills will help you stand out.

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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