ZipRecruiter

Log In

1

High Performance Computing Ai Jobs (NOW HIRING)

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

Overview iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean, VA. What will you do? * The highly skilled High Performance Computing Engineer to design, implement ...

VTG

High-Performance Computing Engineer

Mclean, VA

Overview iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean, VA. What will you do? * The highly skilled High Performance Computing Engineer to design, implement ...

Onesubsea

High Performance Computing Engineer

Sunnyvale, CA · On-site

$125 - $150/hr

We are seeking a highly skilled High Performance Computing (HPC) Engineer with a strong background in modeling and solving complex discrete optimization problems. The ideal candidate will demonstrate ...

next page

Showing results 1-20

All JobsTechnology JobsHigh Performance Computing Ai Jobs

High Performance Computing Ai information

See salary details

$40K

$99.5K

$153.5K

How much do high performance computing ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for high performance computing ai in the United States is $99,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $126,000.00 per year, depending on experience, location, and employer.

What is high performance computing in AI?

High Performance Computing (HPC) in AI refers to the use of powerful computers and clusters to process and analyze large volumes of data at high speeds, enabling complex artificial intelligence and machine learning tasks. HPC systems provide the computational power required to train deep learning models, run large-scale simulations, and handle big data analytics that are beyond the capability of standard computers. This technology is essential for accelerating AI research and applications in fields like healthcare, finance, and scientific research.

What are the key skills and qualifications needed to thrive as a high performance computing AI specialist?

To thrive as a High Performance Computing AI specialist, you need expertise in parallel computing, deep learning frameworks, and a strong background in computer science or related fields, often with an advanced degree. Familiarity with tools such as CUDA, MPI, distributed computing systems, and certifications like NVIDIA Deep Learning Institute credentials are highly valued. Strong analytical thinking, collaboration, and problem-solving abilities set top professionals apart in this field. These skills are essential to optimize AI workloads, innovate scalable solutions, and ensure efficient resource utilization in complex computing environments.

What are common challenges high performance computing AI professionals face when optimizing AI workloads on supercomputers?

One of the main challenges for HPC AI professionals is efficiently scaling AI workloads across thousands of computing nodes while minimizing bottlenecks in data movement and network communication. Balancing the needs of deep learning models with the architecture of HPC systems often requires customizing software libraries and optimizing parallelization strategies. Additionally, integrating AI workflows with traditional simulation or modeling workloads can be complex, requiring strong collaboration with domain scientists and IT teams. Staying current with rapidly evolving hardware and software tools is also essential for success in this role.

What is the difference between High Performance Computing Ai vs Data Scientist?

AspectHigh Performance Computing AiData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with AI and HPC toolsBachelor's or higher in Statistics, Computer Science, or related fields; proficiency in data analysis and programming
Work EnvironmentResearch labs, tech companies, supercomputing centers focusing on AI workloadsBusiness, finance, healthcare, or tech sectors analyzing large datasets
Employer & Industry UsageOrganizations developing AI models using high-performance computing resourcesOrganizations extracting insights from data to inform decisions

High Performance Computing AI specialists focus on developing and optimizing AI models utilizing supercomputing resources, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but HPC AI emphasizes parallel computing and AI infrastructure, whereas Data Scientists focus on statistical analysis and data visualization.

What are popular job titles related to High Performance Computing Ai jobs?

For High Performance Computing Ai jobs, the most frequently searched job titles are:

Infographic showing various High Performance Computing Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $99,528 per year, or $47.9 per hour.

High-Performance Computing Engineer

Mclean, VA • On-site

VTG
See more jobs at VTGexternal

Full-time

Re-posted 12 days ago

Job description

Overview
iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean, VA.
What will you do?
  • The highly skilled High Performance Computing Engineer to design, implement, and maintain advanced computing solutions in support of mission-critical operations.
  • The ideal candidate will bring deep technical expertise in large-scale HPC environments, cluster management, GPU computing, and high-speed networking.

Do you have what it takes?
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance, with polygraph.
  • Bachelor's Degree in Computer Science, Engineering or related field.
  • Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as an understanding of the customer's A&A process.

Apply