Software Architect, Advanced Development at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, NetworkingIndustries

Requirements

Bachelor's or Master's Degree in Computer Science or Electrical Engineering
0-2 years of experience in relevant fields
Programming knowledge in C/C++
Ability to work closely with architects and R&D teams
Passion to learn and innovate independently

Responsibilities

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance
Analyze and optimize communication flows across application, transport, and network layers
Develop system software spanning communication libraries, drivers, and firmware integrations
Collaborate with hardware, firmware, and SDK teams to co-design network features
Validate and integrate prototypes into NVIDIA’s AI infrastructure and products

Skills

Key technologies and capabilities for this role

C/C++Networking ProtocolsEthernetInfiniBandDistributed TrainingSystem SoftwareCommunication LibrariesDriversFirmwareCongestion ControlAI Infrastructure

Questions & Answers

Common questions about this position

What is the salary range for this Software Architect position?

NVIDIA offers highly competitive salaries, but a specific range is not provided in the job description.

What benefits does NVIDIA provide?

NVIDIA provides a comprehensive benefits package. More details can be found at www.nvidiabenefits.com/.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

A Bachelor's or Master's Degree in Computer Science or Electrical Engineering, 0-2 years of experience in relevant fields, programming knowledge in C/C++, ability to work closely with architects and R&D teams, and passion to learn and innovate independently are required.

What makes a candidate stand out for this position?

Candidates stand out with demonstrated innovation and leadership turning prototypes into impactful product features, understanding of Networking Protocols like Ethernet and InfiniBand, ability to quickly adapt to new technology, contributions to open-source projects or academic papers, and background in AI factory architectures or distributed inference.

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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