ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

HPC Operations Engineer at Lambda - ApplyBlast

HPC Operations Engineer

Lambda

4 months ago

3.4 on Glassdoor

Hybrid

Full Time

Senior

3 applicants

View Job Listing

Apply to 100+ jobs

About this role

An experienced HPC engineer at Lambda is responsible for remotely deploying, configuring, and troubleshooting large-scale high-performance computing clusters for AI workloads. This role requires expertise in complex network fabrics, operating systems, and job scheduling systems to ensure cluster stability and operational efficiency. Candidates will collaborate with physical deployment teams, mentor junior engineers, and contribute to standard operating procedures within the company's superintelligence cloud infrastructure.

Responsibilities

Remotely deploy and configure large-scale HPC clusters for AI workloads
Troubleshoot and resolve complex network and firmware issues on clusters
Provide clear technical requirements to engineering teams for system improvements
Mentor and assist less experienced team members in cluster deployments
Contribute to the creation and maintenance of Standard Operating Procedures

Skills

Qualifications

Bachelor's degree in Electrical Engineering, Computer Science, Physics, or Mathematics

About Lambda

lambda.ai

Headquarters

San Francisco, California, United States

Company Size

51-200 employees

Founded

2012

View Profile

Lambda is a cutting-edge cloud computing platform specializing in AI infrastructure, referred to as the "Superintelligence Cloud." It offers gigawatt-scale AI GPU cloud services with on-demand and reserved NVIDIA GPUs, designed specifically for AI training and inference. Lambda's solutions include private cloud options, one-click clusters for streamlined AI training, and orchestration tools for efficient workload management. The company is aimed at AI teams needing scalable solutions to develop and deploy advanced machine learning applications.