ZipRecruiter

Log In

2

Entry Level High Performance Computing Engineer Jobs

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 ...

ASML

High Performance Computing Engineer

San Jose, CA · On-site

$147K - $221K/yr

Introduction to the job We are seeking a highly motivated High Performance Computing (HPC) Engineer to design, develop, deploy, and maintain cutting-edge computing platforms that enable advanced ...

next page

Showing results 1-20

All JobsTechnology JobsSoftware JobsEntry Level High Performance Computing Engineer Jobs

Entry Level High Performance Computing Engineer information

See salary details

$30K

$69.4K

$118K

How much do entry level high performance computing engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for entry level high performance computing engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is an entry level high performance computing engineer?

An Entry Level High Performance Computing (HPC) Engineer is a professional who assists in designing, building, and maintaining high-speed computing systems used for complex computations and large-scale data analysis. They typically work with supercomputers or computer clusters in fields like scientific research, finance, or engineering. Responsibilities often include configuring hardware, optimizing software, and troubleshooting system issues, usually under the guidance of more experienced engineers. Entry-level engineers may also help monitor system performance and support users in running high-performance applications.

What are some common challenges faced by entry level high performance computing engineers, and how can new hires successfully navigate them?

Entry level HPC engineers often encounter challenges such as working with complex parallel computing architectures, optimizing code for performance, and troubleshooting across large-scale, distributed systems. New hires may also need to quickly learn job-specific tools and adapt to rapidly evolving hardware and software environments. To navigate these challenges, it’s important to proactively seek mentorship, participate in team code reviews, and continuously build your skills through hands-on experience and training opportunities. Open communication and collaboration with experienced team members also play a key role in overcoming technical hurdles and growing within the HPC field.

What are the key skills and qualifications needed to thrive as an entry level high performance computing engineer, and why are they important?

To thrive as an Entry Level High Performance Computing Engineer, you typically need a solid background in computer science or engineering, familiarity with parallel computing concepts, and proficiency in programming languages like C/C++ or Python. Experience with Linux environments, HPC cluster management tools, and knowledge of batch schedulers or MPI/OpenMP are often required. Strong problem-solving abilities, teamwork, and effective communication help you excel in collaborating with researchers and technical teams. These skills ensure efficient support and optimization of complex computing systems critical for scientific and technical advancements.

What is the difference between Entry Level High Performance Computing Engineer vs Entry Level Data Scientist?

AspectEntry Level High Performance Computing EngineerEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of parallel computingBachelor's in Data Science, Statistics, or related; programming skills in Python/R
Work EnvironmentResearch labs, tech companies, supercomputing centersBusiness, tech firms, research institutions
Industry UsageHigh-performance computing, scientific research, simulationsData analysis, machine learning, predictive modeling

Entry Level High Performance Computing Engineers focus on developing and optimizing computational systems for scientific and technical applications, while Entry Level Data Scientists analyze data to extract insights. Both roles require programming skills and a strong technical background, but they serve different industry needs and environments.

More about Entry Level High Performance Computing Engineer jobs

What cities are hiring for Entry Level High Performance Computing Engineer jobs?

Cities with the most Entry Level High Performance Computing Engineer job openings:

What are the most commonly searched types of High Performance Computing Engineer jobs?

The most popular types of High Performance Computing Engineer jobs are:

What states have the most Entry Level High Performance Computing Engineer jobs?

States with the most job openings for Entry Level High Performance Computing Engineer jobs include:

What job categories do people searching Entry Level High Performance Computing Engineer jobs look for?

The top searched job categories for Entry Level High Performance Computing Engineer jobs are:

Entry Level High Performance Computing Engineer jobs near you
Infographic showing various Entry Level High Performance Computing Engineer 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, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

High-Performance Computing Engineer

VTG

Mclean, VA • On-site

Full-time

Re-posted 4 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