Senior AI Inference Systems Engineer - GPU HPC

NVIDIA

Schweiz

Vor Ort

CHF 140.000 - 210.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

NVIDIA is seeking highly skilled software engineers to build AI inference systems that scale efficiency across multi-GPU and multi-cloud environments. You will architect inference stacks, optimize GPU kernels and compilers, and collaborate across inference, compiler, scheduling, and performance teams.

You will contribute features to vLLM, benchmark HPC-style workloads, and push the frontier of accelerated computing for AI, with opportunities to publish research and influence NVIDIA products.

Qualifikationen

  • Bachelor's degree (or equivalent) in CS/CE/SE with 7+ years experience; or Master's with 5+ years; or PhD with publications in ML Systems/GPU.
  • Strong programming skills in Python and C/C++; Go or Rust a plus; solid CS fundamentals.

Aufgaben

  • Contribute features to vLLM and optimize inference framework.
  • Develop and benchmark GPU kernels with fusion and autotuning.
  • Define benchmarking methodologies and participate in MLPerf Inference submissions.
  • Architect scheduling and orchestration for containerized large-scale deployments on GPUs.
  • Publish original research and integrate ideas into NVIDIA products.

Kenntnisse

Python
C/C++
Go
Rust
Parallel programming
GPU programming
Performance optimization
DS/ML frameworks

Ausbildung

Bachelor's degree in CS/CE/SE
Master's degree in CS/CE/SE
PhD in ML Systems / GPU architecture

Tools

Nsight Systems/Compute
Docker/Kubernetes
Slurm
MLIR/LLVM

Jobbeschreibung

NVIDIA is seeking highly skilled software engineers to build AI inference systems that scale efficiency across multi-GPU and multi-cloud environments. You will architect inference stacks, optimize GPU kernels and compilers, and collaborate across inference, compiler, scheduling, and performance teams.

You will contribute features to vLLM, benchmark HPC-style workloads, and push the frontier of accelerated computing for AI, with opportunities to publish research and influence NVIDIA products.

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