Senior Software Developer, AI Networking — NVIDIA (ufficio Zurich)
CHF 101'500 - 154'000
NVIDIA (ufficio Zurich) · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- 31 days ago
SalaryCHF 101'500 - 154'000
Role overview
NVIDIA is changing the world of AI Networking with groundbreaking technology.
We are excited to be adding an AI Networking Software Developer to our AI Networking SW development and codesign team.
We are working with the latest NVIDIA hardware and technologies.
- NVIDIA is changing the world of AI Networking with groundbreaking technology.
- We are excited to be adding an AI Networking Software Developer to our AI Networking SW development and codesign team.
Application process
- Developing AI networking communication frameworks and applications running in production on the world’s largest supercomputers and data centers.
- Develop production tools and benchmarks used by multiple teams inside and outside NVIDIA.
- Enable new AI models within our benchmarking infrastructure and deliver insights through end-to-end analysis of large-scale workloads across hardware and software stacks.
- Design and implement automation systems, including large-scale parameter search to identify optimal configurations across complex systems.
- Collaborate closely with networking and hardware teams to co-design new features and software interfaces in a fast-paced, evolving environment. What we need to see:
- B.Sc., M.Sc degree in Computer Science / Software engineering, and 5+ years or equivalent experience.
- Professional Python development experience.
- We seek individuals who build maintainable, long-lived tools that do not impose a heavy burden on the team in terms of maintenance.
Additional details
- Our goal is to ensure that large-scale systems deliver expected performance in practice, not just on paper, by uncovering bottlenecks and driving continuous improvements. What you'll be doing :
- Collaborate closely with networking and hardware teams to co-design new features and software interfaces in a fast-paced, evolving environment. What we need to see:
- Ability to work across a broad and evolving stack, with a strong drive to learn—from hardware and networking up to large-scale AI systems running across entire clusters Ways to stand out from the crowd:
- Knowledge in MPI and HPC, InfiniBand, Ethernet and Networking. Experience in performance optimizations
- For two decades, we have pioneered visual computing, and the art and science of computer graphics. With our invention of the GPU the engine of modern visual computing
- Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
Notes and original content
- Our goal is to ensure that large-scale systems deliver expected performance in practice, not just on paper, by uncovering bottlenecks and driving continuous improvements.
- What you'll be doing :
- Collaborate closely with networking and hardware teams to co-design new features and software interfaces in a fast-paced, evolving environment.
- What we need to see:
- Ability to work across a broad and evolving stack, with a strong drive to learn—from hardware and networking up to large-scale AI systems running across entire clusters
- Ways to stand out from the crowd:
- Knowledge in MPI and HPC, InfiniBand, Ethernet and Networking.
- Experience in performance optimizations
- For two decades, we have pioneered visual computing, and the art and science of computer graphics.
- With our invention of the GPU
