Senior AI Networking Engineer

NVIDIA; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

NVIDIA perks

Zusammenfassung

NVIDIA is seeking an AI Networking Software Developer to join our AI Networking SW development and codesign team, working with NVIDIA hardware and technologies. We perform full stack benchmarking for data center scale systems for AI training/inference and build numerous in-house automation tools.

You will develop AI networking frameworks, production tools, and automation, collaborating closely with networking and hardware teams to drive scalable advancements across large clusters.

Qualifikationen

• B.Sc., M.Sc degree in CS/Software engineering with 5+ years or equivalent experience.
• Professional Python development experience.
• Solid Linux expertise and comfort with command-line environments.
• Ability to work across a broad and evolving stack from hardware to large-scale AI systems.

Aufgaben

• Develop AI networking communication frameworks and production applications on large-scale data center systems.
• Develop production tools and benchmarks used internally and externally.
• Enable new AI models within benchmarking infrastructure and analyze large-scale workloads across hardware and software stacks.
• Design and implement automation systems, including large-scale parameter search for optimal configurations.

Kenntnisse

Python development

Linux CLI

Learning across stack

Benchmarking experience

Ausbildung

B.Sc./M.Sc in Computer Science / Software Engineering

Tools

MPI

HPC

Slurm

Kubernetes

Jobbeschreibung

NVIDIA is seeking an AI Networking Software Developer to join our AI Networking SW development and codesign team, working with NVIDIA hardware and technologies. We perform full stack benchmarking for data center scale systems for AI training/inference and build numerous in-house automation tools.

You will develop AI networking frameworks, production tools, and automation, collaborating closely with networking and hardware teams to drive scalable advancements across large clusters.