Senior Software Engineer, Fabric Networking - GPU 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

High Performance Computing, Deep LearningIndustries

Requirements

B.S/M.S/Ph.D. in Computer Science or a related field, or equivalent experience
5+ years of relevant experience
Excellent C/C++ programming and debugging skills
Shell scripting experience
Python and Perl experience (a plus)
Experience writing software applications that interface with device drivers and expose associated hardware functionality
Strong understanding of computer system architecture, operating system and kernel internals
Strong experience with Linux and comfortable working in a cross-platform environment (Linux and Windows)
Experience with multi-core / multi-process / multi-threaded programming environments
Strong understanding of networking fundamentals and high-performance networks like Ethernet/IB
Experience with OS virtualization technologies like KVM/QEMU/Hyper-V etc
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Design, implement, and maintain system software that enables communication between GPUs
Participate in the architectural definition and design of next-generation communication hardware and software to support large-scale computing platforms
Work with cross-disciplinary teams to understand business requirements and align software direction to meet those needs

Skills

Key technologies and capabilities for this role

C++LinuxPythonShell scriptingPerldevice driverskernel internalsmulti-threaded programmingEthernetInfiniBandKVMQEMUHyper-V

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, shell scripting, strong understanding of computer system architecture and OS internals, experience with Linux, and networking fundamentals.

What is the company culture like at NVIDIA?

NVIDIA offers a dynamic environment with rapid growth, opportunities for creative and autonomous engineers, and the ability to work in a multi-national, multi-time-zone corporate setting.

What makes a strong candidate for this position?

Candidates with a B.S/M.S/Ph.D. in Computer Science or equivalent, 5+ years of relevant experience, and expertise in C/C++, Linux, system architecture, and networking will 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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