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How much do hpc ai jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for hpc ai in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are the typical collaboration dynamics between HPC AI specialists and other technical teams within an organization?

HPC AI specialists frequently collaborate with data scientists, software engineers, and IT infrastructure teams to design, implement, and optimize large-scale AI solutions. They often work closely with these groups to ensure that computational resources are efficiently utilized, AI models are scalable, and workflows are properly integrated with existing systems. Effective communication and cross-functional teamwork are essential, as HPC AI roles often involve troubleshooting performance bottlenecks and aligning AI workloads with organizational goals. Regular meetings, code reviews, and joint project planning sessions are common practices to facilitate this collaboration.

What are HPC AI jobs?

HPC AI jobs refer to roles that combine High Performance Computing (HPC) and Artificial Intelligence (AI). Professionals in this field develop, optimize, and deploy AI models that require significant computational resources, often using supercomputers or large-scale clusters. These roles can include tasks such as designing scalable machine learning algorithms, managing data pipelines, and ensuring efficient use of computing power for complex simulations and analyses. HPC AI specialists are found in industries like scientific research, finance, healthcare, and autonomous systems where large datasets and intensive computations are common.

What are the key skills and qualifications needed to thrive as an HPC AI Specialist, and why are they important?

To thrive as an HPC AI Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by an advanced degree in a related field. Familiarity with high-performance computing clusters, parallel programming (e.g., MPI, CUDA), and AI frameworks like TensorFlow or PyTorch is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and interpreting results. Mastering these skills enables efficient development and deployment of AI models at scale, ensuring optimal performance and innovation in data-intensive environments.
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HPC AI Technologist

HPC AI Technologist

Cambridge Computer Services, Inc

Waltham, MA • On-site, Remote

$90K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

How to Apply
Applicants are required to submit both a resume and a cover letter in PDF format for consideration. Within the cover letter, please provide responses to the following questions:
Question 1: How many HPC clusters have you deployed, how did you deploy them, what hardware and software was included?
Question 2: How did you develop your knowledge and skills in HPC?
Question 3: What is your preferred method/software for cluster provisioning?
Only candidates who provide complete application materials, including responses to the above questions, will be considered.
Job Overview:
  • The Cambridge HPC AI Technologist is a field-based consultant that builds end-to-end research computing system solutions. You will leverage your expertise in scientific computing and knowledge of the technology landscape to drive outcomes that exceed client expectations.

Responsibilities and Duties:
  • Gather client requirements, design optimized solutions, sometimes using a single vendor's portfolio and more often using a broad variety of vendors and technologies.
  • Deploy a new solution or augment an existing HPC/AI solution from the ground up.
  • Consult on and assist with day-to-day management of clients' research compute infrastructure environments.
  • Maintain HPC/AI infrastructure in Linux-based environments for new and existing clients.
  • Lead technical discussions and be the face to the client in preparation for and during engagements.
  • Validate solution designs, meet client requirements, and are technically feasible and deployable.
  • Ensure solutions are simple and easy to understand while taking into account the client's overall capabilities / skills.
  • Scope out and detail professional services deliverables setting clear client expectations.
  • Build documentation and provide knowledge transfer required for clients to support their environments.
  • Display expertise in storage, networking, data protection, digital archiving, and other infrastructure technologies.
  • Gain advanced expertise of and certifications from the vendors Cambridge uses in our solution stack.

Qualifications:
  • Candidates must have at least 5+ years providing deployment services or cluster administration.
  • University undergraduate degree in Computer Science, Computer Engineering, or science related field required.
  • Candidates must also display solid knowledge of GPU-focused hardware/ software and Linux system administration (package management, IP networking, troubleshooting etc.). They must also have solid fundamentals in cluster design / management technologies (Bright, Werewolf, XCat etc.), a background with storage technologies and parallel filesystems (Lustre, GPFS, BeeGFS etc.), experience with networking and configuring network switches (ethernet and InfiniBand), acquaintance with HPC schedulers (SLURM, UGE, LSF, etc.) and programming / libraries (MPI, CUDA, etc.), and proficiency with Scripting (Bash, Python, etc.).
  • Have hands-on working knowledge of tech industry leaders including AMD, DDN, Dell, HPE, IBM, Intel, Juniper, Lenovo, Microsoft, NVIDIA, Oracle, Vast, VMWare, WEKA, and others.
  • As this is a field-based role, the employee must be able to work remotely, independently, and unsupervised. Travel will be approximately 50% of the time which includes short day trips.
  • Candidates must have impeccable communication skills, an ability to multitask, and high attention to detail. They must be effective problem solvers, organized, creative, intellectually curious, deal with ambiguity, and able to work with different types of personalities.
  • Authorization to work in the United States on a full-time basis required.

About Us
Cambridge Computer is a leader in delivering innovative physical and cloud-based IT infrastructure, data storage, and data security solutions to clients in a wide variety of industries across North America. Our clients include Fortune 100 companies, nonprofits, academic institutions, and some of the hottest high-technology companies in the country. We use creativity, technical expertise, and extensive industry relationships with investors, entrepreneurs, technology visionaries, and manufacturers to identify and incorporate both new and existing paradigms into cohesive IT strategies for our clients. Also, we're a Woman-Owned Small Business, with a close-knit staff of about 70 people that hail from all over the world.
Benefits
We recognize that satisfaction and well-being are integral components for long-term sustainability and business success. As such, available to full-time employees are the following benefits:
  • Competitive salary
  • Multiple health insurance options
  • Medical FSA and Dependent Care FSA
  • Dental insurance
  • Vision insurance
  • 401(k) savings plan with employer matching
  • Employer-sponsored long-term disability
  • Paid holidays and PTO that increases with longevity at the company
  • Discounted health club membership
  • Convenient parking
  • Opportunities for growth!

Estimated Salary Range
$90k - $210k per year
Equal Opportunity Employer
Cambridge Computer provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, military service, or veteran status in accordance with applicable federal, state and local laws.

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