Senior System Software Engineer - Media and Broadcasting
NVIDIA is hiring a Senior System Software Engineer - Media and Broadcasting in Pune, India. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Python, Go and Docker among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Develop automation and manage infrastructure for media streaming Kubernetes clusters.
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
How we rate this
Senior System Software Engineer - Media and Broadcasting at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- What's a project where you used Python hands-on?
- Walk me through how you've used Go in your day-to-day work.
- What are the limits of Docker that you've run into, and how did you work around them?
- What's a project where you used Kubernetes hands-on?
- Walk me through how you've used Cisco in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Python, Go, Docker, Kubernetes, and Cisco. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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