Support Engineer - Enterprise

November 8, 2023

Cloud

Deep Learning

Kubernetes

Machine Learning

Python

Switching

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Lambda

Designing the world's most advanced GPU systems for Deep Learning.

Deep Learning • Machine Learning • Artificial Intelligence

51 - 200

💰 $39.7M Venture Round on 2022-11

Description

• Be a first point of contact for all incoming technical support questions • Troubleshoot software and hardware issues for customers and provide solutions • Document solutions to common problems • Collaborate in the development of new products • Provide feedback to product engineering teams • Linux administration experience in clustered or HPC environments • Experience with high throughput networking technologies such as Infiniband, RoCE, iWarp etc. • Shell or Python scripting proficiency • Excellent written and oral communication skills • Knowledge of data center hardware and out of band management tools • Experience working in private or hybrid cloud environments • Experience with HPC/AI technologies such as: SFP+ fiber, InfiniBand (IB) / 100 GbE network fabric experience Ethernet, switching, power infrastructure, GPU direct, RDMA, NCCL, Horovod environment • SLURM, Kubernetes, or other job scheduling systems • Distributed GPU training systems and third-party ML Ops platforms

Requirements

• Experience with ML / AI / Deep Learning • Experience with NVIDIA data center GPUs • Experience with parallel file systems • Experience designing HPC clusters • Direct experience with HPC clusters for internal or external customers • Understanding of the hardware, software, and tools used for deep learning • Experience working with the technologies that underpin our business such as: Deep Learning frameworks, GPU acceleration, virtualization, and cloud computing

Benefits

• Generous cash & equity compensation • Health, dental, and vision coverage for you and your dependents • Commuter/Work from home stipends • 401k Plan • Flexible Paid Time Off Plan that we all actually use

Apply Now
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