NVIDIA

SeniorEnterpriseSolutionEngineer

Beijing, China; Shanghai, China; Shenzhen, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Enterprise Solution Engineer at NVIDIA. Skills: system software development, troubleshooting, Linux internals, Python, containers/containerization, deep learning frameworks, distributed systems. triage customer software issues. resolve customer problems”

What You'll Achieve.

improve the availability, reliability, and overall experience of working with NVIDIA Deep Learning Framework containers on NVIDIA GPUs

Industry & Context.

Problems you'll solve

resolve customer problems; ability to resolve hardware and/or OS internal issues; analytical ability; problem-solving; passion to solve problems

Eligibility Requirements

Be on call one weekend per month in the event a customer has a Sev1 outage and requires engineering assistance

What They're Looking For.

Must Have

At least 5 years system software development and troubleshooting experience, computer science concepts, excellent knowledge of Python and scripting methodologies, Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, containers/containerization (ie Docker, Kubernetes), hybrid cloud (ie AWS, GCP), deep Linux knowledge, very comfortable working in various Linux environments as well as with Windows OS’s, Professional-level communication skills, interpersonal skills

Nice to Have

some customer facing experience, Proven experience in developing, triaging and debugging on Linux and Containers and deep learning frameworks, Experience working with distributed systems especially container orchestrators, Any exposure to system level debug and triaging experience

What You'll Do.

triage customer software issues

resolve customer problems

develop key enhancements and tools for the DGX Platform Software

Container Orchestrators

Deep Learning containers

and potentially other Enterprise related system software

Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including

but not limited to DGX

Container Orchestrators (such as Kubernetes)

GPU accelerated applications

and Deep Learning frameworks

Work with NVIDIA Enterprise customers and internal users to improve the availability

and overall experience of working with NVIDIA Deep Learning Framework containers on NVIDIA GPUs

Take ownership and drive customer issues on containers

Deep Learning frameworks

and Cloud deployment from inception to resolution

research new use cases with GPUs for emerging container technologies and Deep Learning frameworks

How You'll Work.

Team & Collaboration

team-oriented; Work with NVIDIA Enterprise customers and internal users

Communication Scope

Professional-level communication skills; communication

Process & Methodology

Take ownership and drive customer issues on containers, Deep Learning frameworks, and Cloud deployment from inception to resolution

Full Job Description

We are looking for an experienced system engineer, who will play a dual role on the NVIDIA Enterprise Experience (NVEX) team. An awesome candidate is highly technical who can triage customer software issues and resolve customer problems as well as someone who can develop key enhancements and tools for the DGX Platform Software, Container Orchestrators, Deep Learning containers, and potentially other Enterprise related system software. This individual should have proven grasp of platform and systems engineering who understands Linux internals, knowledge about servers and has the ability to resolve hardware and/or OS internal issues. 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. **What you 'll be doing:** * Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to DGX, NVAIE, Container Orchestrators (such as Kubernetes), GPU accelerated applications, and Deep Learning frameworks. * Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Deep Learning Framework containers on NVIDIA GPUs. * Take ownership and drive customer issues on containers, Deep Learning frameworks, and Cloud deployment from inception to resolution. * Build upon the opportunity to research new use cases with GPUs for emerging container technologies and Deep Learning frameworks. * Bring independent analysis, communication, and problem-solving to customer experience. * Be on call one weekend per month in the event a customer has a Sev1 outage and requires engineering assistance. **What we need to see:** * BS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). * At least 5 years system software development and troubleshooting exp

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