Senior System Software Engineer - Media and Broadcasting

NVIDIA Corporation

Pune District

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+
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Job summary

NVIDIA seeks a Sr. Software Engineer for the GPU Software team to develop platforms and software for Media & Entertainment and Broadcasting. You will work on automation for Kubernetes, cluster monitoring, and multi-VLAN routing in a fast-paced, remote-friendly environment.

The role requires 8-10 years in development and networking, strong Python/Go skills, and expert knowledge of Docker and Kubernetes. Collaboration across global teams is essential.

Qualifications

  • BE/Masters in Computer Science or related fields, or equivalent experience.
  • 8-10 years hands-on development and networking experience.
  • Deep knowledge of Networking protocols and tools.
  • Proven track record building robust automation using Python and/or Go.

Responsibilities

  • Develop automation for deploying Kubernetes clusters for streaming media use cases.
  • Monitor and manage Kubernetes clusters.
  • Configure L3 switches for multi-VLAN routing.
  • Work in a Continuous Deployment environment with fast dev/deploy cycles.
  • Collaborate with NVIDIA R&D teams around the globe.

Skills

Networking
Python
Go
Docker
Kubernetes
Linux shell
Ansible
Teamwork

Education

BE/Master's in CS

Tools

Docker
Kubernetes
Ansible
Linux

Job description

About NVIDIA

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Role Overview

We are looking for a hardworking, extraordinary Sr. Software Engineer for the GPU Software team to develop platforms and software for Media & Entertainment and Broadcasting industry. The successful engineer needs to have domain expertise in the areas of media technologies used by TV studios, Broadcasters and content creators. Your passion and expertise in networking, computer hardware, storage, and cloud-native software will be pivotal. You should have a confirmed understanding of Networking and container orchestration engines. The ability to work in a dynamic, diverse and remote team is required. Strong interpersonal skills and a real passion for working as a team are essential. The candidate must demonstrate autonomy in their work and collaboration across different departments. Your role will involve working at the forefront of technical innovation at NVIDIA, in a very fast paced and dynamic environment with some of the best in the industry. If this sounds like a fun challenge, we want to hear from you!

What you will be doing
  • Develop automation for deploying Kubernetes clusters for streaming media usecases
  • Monitor and manage Kubernetes clusters
  • Configure L3 switches for multi-VLAN routing
  • Work in a Continuous Deployment environment - fast development/deployment cycles
  • Collaborate with other NVIDIA R&D teams around the globe
What we need to see
  • BE/Masters in Computer Science or related fields or equivalent experience
  • 8-10 years hands-on experience in development & networking
  • Deep Knowledge of Networking protocols
  • Proven track record to develop robust tools and automation using programming languages such as Python and/or Go
  • Proficiency with Docker containerization and Kubernetes orchestration platforms
  • Fast and self learner with outstanding technical skills
  • Great teammate with strong communication and interpersonal skills
Ways to stand out from the crowd
  • Experience in CNI plugins, operator framework
  • Experience with network protocols
  • Experience in switch configuration: Cisco/Arista/Cumulus
  • Knowledge in Linux shell scripting
  • Knowledge of Ansible and Python
About NVIDIA

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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