Senior Site Reliability Engineer

2 hours ago

Santa Clara, California, United States NVIDIA Full time
Job Title: Senior Site Reliability Engineer

NVIDIA is a leader in AI, machine learning, and datacenter acceleration. Our company is expanding its leadership into datacenter networking with ethernet switches, NICs, and DPUs. We have continuously reinvented ourselves over two decades.

Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing.

We are a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world.

This is our life's work, to amplify human imagination and intelligence. We are seeking an expert to join our diverse team.

Job Summary

We are looking for a Senior Site Reliability Engineer to provide leadership in the design and implementation of ground-breaking GPU compute clusters that run demanding deep learning, high-performance computing, and computationally intensive workloads.

The ideal candidate will have experience analyzing and tuning performance for a variety of AI/HPC workloads, including workflows that use MPI. They will also have working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt, and experienced with AI/HPC advanced job schedulers, and ideally familiarity with schedulers such as Slurm, K8s, RTDA, or LSF.

Key Responsibilities
  • Design and implement large-scale GPU compute clusters
  • Analyze and tune performance for AI/HPC workloads
  • Work with internal and external stakeholders to troubleshoot and resolve system failures
  • Develop automation solutions for cluster bring-up and scaled-up operation
  • Improve operational excellence and processes
Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience
  • Minimum 5 years of experience designing and operating large-scale compute infrastructure
  • Experience with NVIDIA GPUs, Cuda Programming, NCCL, and MLPerf benchmarking
  • Background with Machine Learning and Deep Learning concepts, algorithms, models
  • Familiarity with InfiniBand with IBoIP and RDMA
  • Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads
  • Familiarity with deep learning frameworks like PyTorch and TensorFlow
What We Offer

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us, and 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.

The base salary range is $148,000 - $276,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

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