Remote HPC AI Solutions Architect for Research Compute

Cambridge Computer Services, Inc; San Francisco (CA); Hybrid; USD 90,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Multiple health insurance options

401(k) savings plan with employer matching

Paid holidays and PTO

Opportunities for growth

Job summary

A leading IT solutions provider is seeking a HPC AI Technologist in San Francisco, CA. This field-based consultant will build end-to-end research computing system solutions while collaborating with clients. The ideal candidate has extensive knowledge in Linux system administration, GPU technology, and a passion for problem-solving. This position requires excellent communication skills and the ability to multitask. Travel is approximately 50% of the time, and authorization to work in the U.S. is mandatory.

Qualifications

• 5+ years providing deployment services or cluster administration.
• Deep knowledge of tech industry leaders including AMD, Dell, HPE, Intel, and others.
• Ability to work remotely and travel approximately 50% of the time.

Responsibilities

• Gather client requirements and design optimized solutions.
• Deploy new HPC/AI solutions or augment existing ones.
• Consult and assist with clients' research compute infrastructure.

Skills

Linux system administration

GPU-focused hardware/software

Cluster design/management

Storage technologies

Networking and configuring network switches

HPC schedulers

Scripting (Bash, Python)

Impeccable communication skills

Problem-solving

Attention to detail

Education

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

Tools

HPC tools (Bright, Werewolf, XCat)

Parallel filesystems (Lustre, GPFS, BeeGFS)

Networking technologies (ethernet, InfiniBand)

Programming libraries (MPI, CUDA)

Job description

A leading IT solutions provider is seeking a HPC AI Technologist in San Francisco, CA. This field-based consultant will build end-to-end research computing system solutions while collaborating with clients. The ideal candidate has extensive knowledge in Linux system administration, GPU technology, and a passion for problem-solving. This position requires excellent communication skills and the ability to multitask. Travel is approximately 50% of the time, and authorization to work in the U.S. is mandatory.