Senior Software Architect, GPU Networking Research at NVIDIA

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AI, High Performance ComputingIndustries

Requirements

Hold a M.Sc. 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 systems architecture or related fields
Experienced in virtualization, networking and storage
Experienced in either Windows or Linux drivers, with a very good background of the other OS
Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads
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
Ways to stand out
Shown research track record
Have experience and passion for system architecture, CPU/GPU/memory/storage/networking
Stellar communication skills
Knowledge in Deep Learning frameworks

Responsibilities

Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads
Lead vision, architecture and design of such technologies
Lead proof-of-concept development to evaluate and drive such technologies
Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value
Work with the community and maintainers to drive strategic technologies
Research new transport functions and semantics for optimizing AI workloads
Lead architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more

Skills

Key technologies and capabilities for this role

GPU NetworkingAI WorkloadsSystems ArchitectureVirtualizationNetworkingStorageLinux DriversWindows DriversPerformance ProfilingPerformance OptimizationDistributed AIDeep LearningHPCSDN

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Software Architect role?

Candidates must hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent) and have 8+ years of industry experience in systems architecture or related fields.

What key technical skills are needed for this position?

Required skills include experience in virtualization, networking and storage; experience in either Windows or Linux drivers with strong knowledge of the other OS; and deep understanding of performance profiling, optimization techniques, and HW offloads.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What qualities make a candidate stand out for this role?

Stand out with a shown research track record, experience and passion for system architecture in CPU/GPU/memory/storage/networking, stellar communication skills, and knowledge in Deep Learning frameworks. A can-do attitude, high energy, excellent interpersonal skills, and ability to work in a multi-national environment are also key.

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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