Senior AI Inference Engineer - High-Performance GPU Systems

NVIDIA

Lavamünd

Vor Ort

EUR 120.000 - 160.000

Vollzeit

vor 26 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

NVIDIA seeks highly skilled software engineers to build AI inference systems that scale models efficiently. You will architect and implement high-performance stacks, optimize GPU kernels and compilers, and drive benchmarks across multi-GPU, multi-node, and multi-cloud environments.

You will collaborate with inference, compiler, scheduling, and performance teams to push the frontier of accelerated AI computing while delivering practical, production-ready software across NVIDIA’s platforms.

Qualifikationen

  • Bachelor’s degree in Computer Science, Computer Engineering or Software Engineering with 7+ years of experience; or Master’s 5+ years; or PhD with strong ML Systems publications.
  • Strong programming skills in Python and C/C++; knowledge of Go or Rust is a plus.
  • Deep fundamentals in algorithms, data structures, OS, architecture, parallel/distributed systems and DL theory.
  • Familiarity with performance engineering in ML frameworks (e.g., PyTorch) and inference engines (e.g., vLLM).
  • Experience with GPU programming, CUDA, memory hierarchies, and profiling tools (Nsight).

Aufgaben

  • Contribute features to vLLM and optimize inference frameworks for new NVIDIA GPUs.
  • Develop, optimize, and benchmark GPU kernels using fusion, autotuning, and memory/layout optimization.
  • Define benchmarking methodologies and contribute to MLPerf Inference submissions.
  • Architect scheduling and orchestration of containerized large-scale inference deployments on GPU clusters.
  • Publish original research and translate ideas into NVIDIA software products.

Kenntnisse

Python
C/C++
Go or Rust
Algorithms & data structures
Parallel programming
Distributed systems
Performance engineering
GPU programming
CUDA
Nsight (Systems/Compute)
Containerization
Linux namespaces & cgroups
Communication skills

Ausbildung

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

Tools

TorchDynamo/Inductor
Triton
MLIR/LLVM
CUTLASS
XLA
ML tooling (Nsight)

Jobbeschreibung

NVIDIA seeks highly skilled software engineers to build AI inference systems that scale models efficiently. You will architect and implement high-performance stacks, optimize GPU kernels and compilers, and drive benchmarks across multi-GPU, multi-node, and multi-cloud environments.

You will collaborate with inference, compiler, scheduling, and performance teams to push the frontier of accelerated AI computing while delivering practical, production-ready software across NVIDIA’s platforms.

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