AI Infrastructure Engineer - Multi-GPU Distributed Systems
NVIDIA Corporation
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Descrizione del lavoro
NVIDIA Corporation seeks a Software Engineer to bring up, benchmark, and optimize distributed AI workloads at scale. You will validate large multi-GPU clusters, triage failures, and tune runtimes across PyTorch, CUDA, NCCL, and Megatron/Nemo stacks.
Collaboration with framework, systems, and platform teams is essential to deliver data-driven performance insights and robust qualification workflows. Candidates have 3+ years in AI or HPC software, strong Python and C/C++, and experience with
Competenze
- Bachelor’s or Master’s in Computer Science or related field.
- 3+ years of software development for AI, HPC, or systems.
- Experience with multi-GPU or multi-node workloads.
- CUDA-aware distributed execution experience.
- Experience with containerized cluster environments.
- Strong Python and C/C++ programming skills.
Mansioni
- Bring up, validate, and debug large-scale AI clusters and workloads.
- Tune and benchmark AI pre-training, post-training, and inference workloads.
- Perform root-cause analysis of failures in distributed environments.
- Contribute to resilience and failure-attribution tooling.
- Build repeatable benchmark suites and qualification workflows.
Conoscenze
Formazione
Strumenti
Descrizione del lavoro
NVIDIA Corporation seeks a Software Engineer to bring up, benchmark, and optimize distributed AI workloads at scale. You will validate large multi-GPU clusters, triage failures, and tune runtimes across PyTorch, CUDA, NCCL, and Megatron/Nemo stacks.
Collaboration with framework, systems, and platform teams is essential to deliver data-driven performance insights and robust qualification workflows. Candidates have 3+ years in AI or HPC software, strong Python and C/C++, and experience with
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