Senior Infrastructure Engineer - California, United States - Sustainable Talent

Sustainable Talent California, United States

Found in: Appcast US C2 - 3 days ago

Description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.

We are looking for a HPC Cluster Engineer to support our client's GPU/HPC Infrastructure Team.

This is a W-2 full-time contract based in Santa Clara, CA - Hybrid work option. The pay is between $90-$120/ hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture

As a member of the GPU/HPC Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for our GPU Compute Clusters. As an expert, you will help us with the strategic challenges we encounter including computer, networking, and storage design for large-scale, high-performance workloads, effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and growth planning across our global computing environment.

What you'll be doing:

Building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions
Maintaining and building deep learning clusters at scale
Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows
Root cause analysis and suggest corrective action for problems large and small scales
Finding and fixing problems before they occur.

What we need to see:

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 analyzing and tuning performance for a variety of HPC workloads.
Working knowledge of cluster configuration managements tools such as Ansible, Puppet, Salt.
Experience with HPC cluster job schedulers such as SLURM, LSF
In depth understating of container technologies like Docker, Singularity, Shifter, Charliecloud.
Proficient in Centos/RHEL and/or Ubuntu Linux distros including Python programming and bash scripting.
Experience with HPC workflows that use MPI.

Ways to stand out from the crowd:

Understanding of MLPerf benchmarking
Familiarity with InfiniBand with IBOP and RDMA
Understanding of fast, distributed storage systems like Lustre and GPFS for HPC workloads.
Background with Software Defined Networking and HPC cluster networking
Familiarity with deep learning frameworks like PyTorch and TensorFlow.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

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