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NVIDIA

Designs the chips and software that power AI

Technical Account Manager - HPC, Cloud

Implementation & Technical Account ManagementPosted on Nov 10
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 8 years of experience providing in-depth customer support and debugging for hardware and software products.
  • Profound knowledge and experience with Linux and networking; LFCS or RHCSA credentials are referenced.
  • A bachelor's degree or equivalent experience.
  • Expertise with data center virtualization concepts and trends, including VMware, Docker, and Kubernetes.
  • Ability to maintain and lead resolution of critical customer issues.
  • Strong communication and presentation/oral skills.
  • Strong organizational skills and ability to prioritize and multitask with limited supervision.

Responsibilities

  • Resolve sophisticated technical issues and customer concerns for cloud and enterprise customers through research and reproduction, focusing on next-generation AI and HPC server technologies.
  • Own and resolve customer issues during product installation, operation, maintenance, or application.
  • Work with hardware including GPUs, AI accelerators, and high-speed interconnects, and software technologies including ML frameworks, Spark, Kubernetes, and Ceph.
  • Serve as a technical resource and develop, redefine, and document standard methodologies for internal support and R&D teams to improve support processes.
  • Act as a main customer point of contact by assisting with technical inquiries, debugging, and issue resolution.
  • Interact regularly with engineering, marketing, and support teams.

Desired Qualifications

  • Experience with large-scale HPC or AI cluster environments.
  • Familiarity with GPU-based computing and accelerator technologies.
  • Familiarity with networking technologies.
  • Background in support escalation, SRE, or production engineering.
  • Scripting and automation skills using Python, Bash, Ansible, or YAML, and exposure to AI/ML frameworks or data analytics platforms.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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