Senior Software Architect, Advanced Development 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, High Performance ComputingIndustries

Requirements

M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience)
12+ 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
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
Shown research track record (preferred)
Experience and passion for system architecture, CPU/GPU/memory/storage/networking (preferred)
Stellar communication skills (preferred)

Responsibilities

Explore technological challenges in accelerated networking and building AI data centers
Research new transport functions and semantics for optimizing AI workloads
Lead architectural and development efforts across 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
Identify and evaluate new technologies, innovations, and partner relationships for alignment with our technology roadmap and business value
Lead architecture and design of such technologies
Lead proof-of-concept development to evaluate and drive such technologies

Skills

Virtualization

Networking

Storage

Linux Drivers

Windows Drivers

Performance Profiling

Optimization

HW Offloads

SDN

HPC

Deep Learning

Distributed AI

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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