
Senior System Software Engineer - Media and Broadcasting
At a glance
Highlights
- Onsite role in Pune
- Work on GPU software for media and broadcasting
- Fast-paced continuous deployment environment
Why this role might suit you
A senior engineer with strong networking, containerization, and automation experience can contribute to NVIDIA's GPU software platform for media and broadcasting, collaborating globally while leveraging cutting‑edge AI hardware.
Skills
About the role
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.
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
Working 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
Questions about this role
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