Senior HPC Engineer at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience
4+ years providing in-depth support and deployment services, solving problems for hardware and software products
Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring)
Cluster management technologies
Scripting proficiency
Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise
Excellent verbal and written English skills
Strong organizational skills and ability to prioritize/multi-task easily with limited supervision
Industry-standard Linux certifications
Experience with Schedulers such as SLURM, LSF, UGE, etc

Responsibilities

Deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers
Be the domain expert with customers during planning calls through implementation
Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world
Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements

Skills

Key technologies and capabilities for this role

HPCAILinuxNetworkingSystem DesignAutomation

Questions & Answers

Common questions about this position

What education and experience are required for the Senior HPC Engineer role?

A Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience is required, along with 4+ years providing in-depth support and deployment services for hardware and software products.

What key technical skills are needed for this position?

The role requires knowledge and experience with Linux System Administration (including process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking), cluster management technologies, scripting proficiency, and experience with schedulers such as SLURM, LSF, UGE.

What soft skills are important for this role?

Good interpersonal skills, excellent verbal and written English skills, strong organizational skills, and the ability to prioritize and multi-task with limited supervision are required.

What is the company culture like at NVIDIA for this team?

You'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work, working on a dynamic, customer-focused team.

What makes a candidate stand out for this Senior HPC Engineer position?

Ways to stand out include InfiniBand or Ethernet experience, along with industry-standard Linux certifications.

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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