Senior Software Engineer - NVEX

NVIDIA; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

NVIDIA Bengaluru seeks an experienced system engineer to triage customer software issues and develop enhancements for the DGX Platform Software, AI Enterprise, and related containers. You will work on Linux environments, GPU-accelerated apps, and cloud deployment, collaborating with customers and engineers to deliver scalable solutions.

The role emphasizes strong CS fundamentals, Python scripting, and hands-on experience with containers and DL frameworks, with on-call weekend responsibilities as

Qualifications

• 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 teamwork.
• Strong CS fundamentals and knowledge of Python and scripting.
• Deep understanding of data centers/servers/distributed systems/virtualization/containers/hybrid cloud.

Responsibilities

• Develop features and tools as part of solution engineering efforts to support Enterprise Service offerings (NGC, Container Orchestrators such as Kubernetes, GPU-accelerated apps, Deep Learning frameworks).
• Work with Enterprise customers and internal users to improve availability, reliability, and experience of NVIDIA servers and software stacks.
• Take ownership and drive customer issues on system software components, containers, DL frameworks, and Cloud deployment from inception to resolution.
• Research new use cases with GPUs for emerging container technologies and DL frameworks.
• Provide independent analysis, communication, and problem-solving to customer experience.
• Be on call one weekend per month for Sev1 outages.

Skills

Python

Scripting

Linux systems

Problem solving

Communication skills

Education

BS in Computer Science/Engineering or related field

Tools

Docker

Kubernetes

Deep Learning containers

Job description

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.