Level

NVIDIA

Technical Account Manager - Compute and Networking Technologies

NVIDIA is hiring a Technical Account Manager - Compute and Networking Technologies in Tokyo, Japan. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Kubernetes, Docker and Deep Learning Containers.
  • Level classifies it as a mid-level role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Support enterprise customers with NVIDIA compute, networking, and AI software stacks to resolve complex technical issues.

kubernetesdockerdeep-learning-containers
technical-account-managementnetworkingcomputegpuenterprise-support

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you!

We are looking for an experienced Technical Account Manager or software engineer with good program management skills. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Technical Account Managers and Solution Engineers focused on the NVIDIA compute technologies, Networking, Container Orchestrators, Deep Learning containers, and other Enterprise related system software in CSP as well on prem environments. We are also looking for someone who has superb interpersonal and communication skills, given you would be working closely with our customers and engineers to understand, explain, and collaborate with the team to resolve complex issues in the areas of compute, networking and AI software stack.

 

This individual should have proven grasp of datacenter and Artificial Intelligence technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge products. If you have a real passion for technology, and you are interested in a role that you can make a difference in and contribute at all different levels, this may be a phenomenal position for you. To do an outstanding job in this role, we will be looking for a multifaceted engineer. This person will focus on enterprise servers, networking and also on NVIDIA AI Enterprise SW, a cloud-native suite of AI and data analytics software optimized for the development and deployment of AI.

 

What you'll be doing:

  • Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with servers architected for running AI models, associated networking and software stack
  • Take ownership and drive customer issues from inception to resolution
  • Build upon the opportunity to research new use cases with GPUs
  • Bring independent analysis, communication, and problem-solving to customer experience
  • Collaborate with engineering to document, recreate and solve issues
  • Author and incorporate technical solutions into our knowledge base

What we need to see:

  • BS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
  • You'll bring at least 6+ years system software development and troubleshooting experience, with strong program management and some customer facing skills
  • Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented
  • Strong computer science concepts and excellent knowledge of Python and scripting methodologies
  • Professional-level communication skills, interpersonal skills with a passion to solve problems

Ways to stand out from the crowd:

  • Experience as a developer and/or support program manager for large enterprise/service provider customers at a company that produces AI and data analytics software
  • Exposure to development with C and/or python
  • Background with developing or debugging AI and data analytics software.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

How we rate this

Technical Account Manager - Compute and Networking Technologies at NVIDIA rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Technical Account ManagementNetworkingComputeGPUEnterprise SupportKubernetesDockerDeep Learning Containers

Questions you could be asked

  1. Tell me about a project where technical account management was part of your work. What did you do?
  2. Tell me about a project where networking was part of your work. What did you do?
  3. Tell me about a project where compute was part of your work. What did you do?
  4. Tell me about a project where gpu was part of your work. What did you do?
  5. Tell me about a project where enterprise support was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Technical Account Management, Networking, Compute, GPU, and Enterprise Support. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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