Senior Software Engineer, GPU Communications and Networking at NVIDIA

Santa Clara, California, United States

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$148,000 – $287,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance ComputingIndustries

Requirements

M.S./Ph.D. degree in CS/CE or equivalent experience
5+ years of relevant experience
Excellent C/C++ programming and debugging skills
Strong experience with Linux
Expert understanding of computer system architecture and operating systems
Experience with parallel programming interfaces and communication runtimes
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Design, implement, and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g., NCCL for TensorFlow/PyTorch) and HPC programming interfaces (e.g., UCX for MPI/OpenSHMEM) on GPU clusters
Participate in and contribute to parallel programming interface specifications like MPI/OpenSHMEM
Design, implement, and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components
Create proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes, and new features in hardware

Skills

Key technologies and capabilities for this role

C++LinuxCUDANCCLUCXMPIOpenSHMEMPyTorchTensorFlowInfiniBand

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The base salary range is $148,000 - $287,500 USD.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key skills required for this role?

Required skills include excellent C/C++ programming and debugging, strong Linux experience, expert understanding of computer system architecture and operating systems, and experience with parallel programming interfaces and communication runtimes.

What is the company culture like at NVIDIA?

NVIDIA seeks creative and autonomous engineers with a passion for technology in a dynamic matrix environment, emphasizing strong collaborative and interpersonal skills.

What makes a candidate stand out for this position?

Stand out with a deep understanding of technology and passion for your work, experience with CUDA programming and NVIDIA GPUs, knowledge of high-performance networks, HPC applications, Deep Learning frameworks like PyTorch or TensorFlow, and strong collaborative skills in a matrix environment.

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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