Enterprise Solution Engineer, Software

Reposted 3 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves troubleshooting customer software issues, developing tools for DGX Platform Software, and enhancing system diagnostics and networking software.
Summary Generated by Built In

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, specifically system diagnostics, Networking software, Container Orchestrators, potentially other Enterprise related system software.

This individual should have proven grasp of platform and systems engineering, server diagnostics knowledge, good Linux internals, kernel level programming, knowledge about server hardware and has the ability to resolve hardware and/or OS internal issues. We are also looking for someone who has superb interpersonal and communication skills, given you would be working closely with some of our biggest enterprise 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:

  • Take ownership and drive customer issues on system software, server diagnostics and containers

  • 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

  • Build upon the opportunity to research new use cases with GPUs for emerging container technologies

  • Bring independent analysis, communication, and problem-solving to customer experience

What we need to see:

  • BS in Computer Science, 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 C/C++, Python and scripting methodologies

  • Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, server diagnostics, embedded systems

  • 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, system software, server diagnostics and Containers

  • 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.

Top Skills

C/C++
Kubernetes
Linux
Python
Windows
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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