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NVIDIA

Senior Software Engineer, NCCL

NVIDIA is hiring a Senior Software Engineer, NCCL in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • Tools and skills the posting cites include vLLM, PyTorch and TensorFlow.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Design and optimize high-performance communication runtimes and network software for deep learning and GPU clusters.

vLLMPyTorchTensorFlowJAXCLinuxCUDANcclUcx
systems-programmingparallel-computingdistributed-systemsgpu-optimization

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

We are looking for a highly motivated senior software engineer for an exciting role in our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning.

What you will be doing:

  • Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.

  • Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.

  • Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.

  • Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.

What we need to see:

  • M.S./Ph.D. degree in CS/CE or equivalent experience.

  • 5+ years of relevant experience.

  • Excellent C/C++ programming and debugging skills.

  • Strong experience with Linux.

  • Expert understanding of computer system architecture and operating systems.

  • Experience with parallel programming interfaces and communication runtimes.

  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

  • Deep knowledge of high-performance networks like InfiniBand, RoCE etc.

  • Experience with HPC applications. Experience with Deep Learning Frameworks such PyTorch, TensorFlow, JAX/XLA, vLLM/SGLang etc.
  • Experience with AI/DL communication patterns such as Expert Parallelism (EP), TP, DP, PP and how these patterns can be implemented with NCCL. Experience with CUDA kernel optimization and profiling.
  • Experience with large-scale model training and production inference software stack.
  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

How we rate this

Senior Software Engineer, NCCL at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Systems ProgrammingParallel ComputingDistributed SystemsGPU OptimizationvLLMPyTorchTensorFlowJAX

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where systems programming was part of your work. What did you do?
  2. Tell me about a project where parallel computing was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where gpu optimization was part of your work. What did you do?
  5. Walk me through how you've used vLLM in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Systems Programming, Parallel Computing, Distributed Systems, GPU Optimization, and vLLM. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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