Senior Networking Test Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

Skills

Key technologies and capabilities for this role

NetworkingEthernetNICDPUSwitchTestingAutomationPerformance TestingBenchmarkingProfilingTest ReportsDebuggingLinuxAI Workloads

Questions & Answers

Common questions about this position

What is the salary for this Senior Networking Test Engineer position?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills are required for this role?

Required skills include very strong hands-on experience in Linux-based platforms, expertise in Linux host side NIC validation and debugging, expertise in AI networking libraries like NCCL and protocols like RoCE and RDMA, and scripting skills in Bash, Python, and Ansible.

What is the team environment like at NVIDIA for this role?

You will join the End-to-End Verification team, collaborating closely with multi-functional teams including hardware engineers, software developers, domain experts, NIC, OS, Switch, HCA, CPU, and GPU compute specialists.

What makes a candidate stand out for this position?

Candidates stand out with experience in Collective Communications Library testing (e.g., NCCL) or Large Language Model testing, along with a B.A./B.Sc. in Computer Science or Electrical Engineering, 3+ years of experience, exceptional analytical skills, and strong communication.

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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