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 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. This person will also focus on NVIDIA AI Enterprise SW, a cloud-native suite of AI and data analytics software optimized for the development and deployment of AI. NVIDIA AI Enterprise is the operating system of the NVIDIA AI platform, essential for applications built with an extensive library of frameworks: NVIDIA® Riva for speech AI, NVIDIA Merlin™ for recommenders, NVIDIA Clara™ for medical imaging, and more. 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 resolve issues, and collaborate with the team to build scalable software. 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 NGC, 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 servers, system software stack and Deep Learning Framework containers on NVIDIA GPUs.
Take ownership and drive customer issues on system software components, 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 experience, ideally with some customer facing.
Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented.
Strong computer science concepts and 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).
You'd have cultivated a deep Linux knowledge, and be very comfortable working in various Linux environments as well as with Windows OS’s.
Professional-level communication skills, interpersonal skills with a passion to solve problems.
Ways to stand out from the crowd:
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.
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.
Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience
- At least 5 years of system software development and troubleshooting experience
- Strong computer science fundamentals and excellent Python and scripting skills
- Deep understanding of at least two of data centers, servers, distributed systems, virtualization, deep learning frameworks, containers, or hybrid cloud
- Deep Linux knowledge and comfort working with Linux environments and Windows operating systems
- Professional communication and interpersonal skills
- Customer-facing experience
- Experience developing, triaging, and debugging Linux, containers, and deep learning frameworks
- Experience with distributed systems and container orchestrators
- System-level debugging and triage experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
