Full-Time

Technical Support Engineer

Linux and HPC Admin, DGX Cloud

Posted on 2/21/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$108k - $201.3kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Remote in USA

Remote work is allowed, but candidates may also be based in Santa Clara, California.

Category
Customer Support
Customer Success & Support
System Administration
IT & Security
Software Engineering
Required Skills
Kubernetes
Jupyter
Apache Spark
FPGA
Linux/Unix

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • BS degree or equivalent experience in Electrical Engineering or related field.
  • 5 years of relevant, aligned experience, ideally in a customer facing role.
  • Proven research skills and interest in assisting customers to achieve their goals.
  • Experience in a technical customer-facing role.
  • Eagerness to learn and become an authority of our product.
  • Excellent written communication skills with the ability to easily convey complex technical information to consumable summaries.
  • In-depth knowledge of Linux.
  • Familiarity with typical Linux installations and their most common software elements.
Responsibilities
  • Provide support to our customers for our Linux-based cluster management software product, ensuring customers get the help they require to support their clusters.
  • Collaborate with the development team to get the right information and to raise support tickets to the appropriate development team.
  • Become and serve as a subject-matter expert in any one of a number of areas.
  • Research and development tasks for customers or for internal use by our development team.
  • Work with the latest hardware (e.g. GPUs, FPGAs, AI accelerators, high-speed interconnects such as InfiniBand, Omni Path, and Gig-E) and software technologies such as parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO), Jupyter, various ML frameworks and tools, Spark, Kubernetes, and Ceph.
Desired Qualifications
  • Experience with high-performance computing and system administration would be an asset.

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. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to provide effective solutions for a wide range of clients, from gamers to enterprises.

Company Size

10,001+

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's partnership with Together AI enhances its influence in AI infrastructure.
  • Backing GamerBoom shows NVIDIA's potential in the growing Web3 gaming sector.
  • Serve Robotics' expansion reflects demand for AI-driven urban logistics solutions.

What critics are saying

  • Lambda's funding could increase competition for NVIDIA's cloud services.
  • ClustroAI's edge AI technology may challenge NVIDIA's cloud-based solutions.
  • xAI's growth could create competitive tensions with overlapping AI solutions.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The Omniverse platform expands NVIDIA's reach in digital twin and industrial AI markets.
  • NVIDIA's investment in edge AI aligns with trends in local device processing.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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