Remote HPC AI Technologist - Field-Based Compute Leader

Cambridge Computer; Waltham (MA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Multiple health insurance options

401(k) savings plan with employer matching

Paid holidays and PTO

Job summary

Cambridge Computer is looking for a field-based HPC AI Technologist to build end-to-end research computing system solutions. This role involves leveraging scientific computing expertise to exceed client expectations and working on-site with clients to manage their research computing environments.

The ideal candidate will have at least 5 years of experience in deployment services, knowledge of GPU-focused hardware, and skills in Linux administration. Opportunities for growth and various benefits, including competitive salary and health insurance, are part of the offer.

Qualifications

• At least 5+ years providing deployment services or cluster administration.
• Hands-on working knowledge of tech industry leaders including AMD, DDN, Dell, HPE, and others.
• Must be able to work remotely, independently, and unsupervised.

Responsibilities

• Gather client requirements, design optimized solutions.
• Deploy new HPC/AI solutions or augment existing ones.
• Consult on day-to-day management of clients' research compute infrastructure.

Skills

GPU-focused hardware/software knowledge

Linux system administration

Cluster design/management technologies

Scripting (Bash, Python)

Communication skills

Education

University undergraduate degree in Computer Science, Computer Engineering or related field

Tools

HPC schedulers (SLURM, UGE, LSF)

Storage technologies (Lustre, GPFS, BeeGFS)

Network switches (ethernet and InfiniBand)

Job description

Cambridge Computer is looking for a field-based HPC AI Technologist to build end-to-end research computing system solutions. This role involves leveraging scientific computing expertise to exceed client expectations and working on-site with clients to manage their research computing environments.

The ideal candidate will have at least 5 years of experience in deployment services, knowledge of GPU-focused hardware, and skills in Linux administration. Opportunities for growth and various benefits, including competitive salary and health insurance, are part of the offer.