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