NVIDIA

AI Networking

SeniorSoftwareDeveloper,AINetworking

Zurich, Switzerland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Developer, AI Networking at NVIDIA. Skills: AI Networking, Python, Linux, benchmarking, automation, performance optimizations. 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”

What You'll Achieve.

ensure that large-scale systems deliver expected performance in practice, not just on paper

Industry & Context.

AI Networking
Problems you'll solve

uncovering bottlenecks; driving continuous improvements; identify optimal configurations across complex systems

What They're Looking For.

Must Have

B. Sc. , M. Sc degree in Computer Science / Software engineering, 5+ years or equivalent experience, Professional Python development experience, Solid Linux expertise, Ability to work across a broad and evolving stack, with a drive to learn—from hardware and networking up to large-scale AI systems running across entire clusters

Nice to Have

Knowledge and/or experience with modern AI ecosystem: PyTorch, LLMs, inference and training, Familiarity with cluster orchestration systems such as Slurm or Kubernetes, Knowledge in MPI and HPC, InfiniBand, Ethernet and Networking, Experience in performance optimizations

What You'll Do.

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

How You'll Work.

Team & Collaboration

Collaborate closely with networking and hardware teams to co-design new features and software interfaces

Full Job Description

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. We do full stack benchmarking for Data Center scale systems for AI training/inference and lower level benchmarks. We strive for automation and develop many tools in-house yet adopt community accepted practices and frameworks. Moreover we give back to community developing our own tools in public GitHub repositories. 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:** * 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. * Solid Linux expertise and passion for working extensively in command-line environments. * Ability to work across a broad and evolving stack, with a strong drive to learn—from hardware and networking up to large-scal

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