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Internship High Performance Computing Engineer Jobs in Topeka, KS

Operations Engineering Interns

Topeka, KS

$14.25 - $18.75/hr

Smucker Company's Internship Program? Are you seeking an exceptional internship experience at a ... Contribute to high-profile projects that support our Company's growing categories like snacks ...

Sr. ETL Developer

Topeka, KS

$48 - $62.75/hr

Successful performance includes demonstrated ownership and timely responses to production problems ... Experience with design, development, and implementation of new computing architectures. Additional ...

Evaluate system performance, security, capacity, and reliability; recommend and implement ... computing and application environment. Under moderate supervision, this position assists in the ...

Computing the volume of bulk materials (concrete, bituminous mixtures and earthwork) from drawings ... High school graduate or equivalent * 17 years of age or older PAY AND BENEFITS From the day you ...

Computing the volume of bulk materials (concrete, bituminous mixtures and earthwork) from drawings ... High school graduate or equivalent * 17 years of age or older PAY AND BENEFITS From the day you ...

DevOps Engineer

Lawrence, KS ยท On-site

$49.75 - $68.25/hr

... performance, and operational health of platforms such as Kafka/Confluent, RabbitMQ, Elasticsearch ... Our standards are high and our employees enjoy working alongside other high achievers. * Make an ...

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Internship High Performance Computing Engineer information

See Topeka, KS salary details

$10

$56

$92

How much do internship high performance computing engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for internship high performance computing engineer in Topeka, KS is $56.56, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship high performance computing engineer?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

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

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an internship high performance computing engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an internship high performance computing engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What job categories do people searching Internship High Performance Computing Engineer jobs in Topeka, KS look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Topeka, KS are:
What cities near Topeka, KS are hiring for Internship High Performance Computing Engineer jobs? Cities near Topeka, KS with the most Internship High Performance Computing Engineer job openings:
Infographic showing various Internship High Performance Computing Engineer job openings in Topeka, KS as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,654 per year, or $56.6 per hour.

Undergrad Tech Intern - Research Computing Internship (PEARC)

Pacific Northwest National Laboratory

Topeka, KS โ€ข On-site

Other

Medical, Retirement

Posted 2 days ago

New


Job description

Overview

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our directorates related to Mission Support & Operations include Office of General Counsel, Business Services, Communications and External Engagement, Operational Systems, Communications and Information Technology, and Performance Management.

At PNNL, our Computing and Information Technology organization is redefining how we work and innovate by reimagining the digital workplace. We empower research and streamline operationsโ€”making both faster, smarter, and more efficientโ€”so our professionals can tackle some of the world's toughest challenges in science, energy, and national security. Our experts in AI, cybersecurity, design, and engineering work side by side, using real-time insights and human-centered design to break down barriers. Ready to make your mark on tomorrow? Come work with us.

Research Computing empowers researchers by removing technical barriers to discovery. We provide access to cutting-edge resources, including high-performance computing (HPC), GPU-accelerated compute, scientific software, research data management (featuring the PNNL Research Library), and cloud computing. Through events like TechFest, which brings staff together to showcase projects and discuss new research possibilities, we cultivate a vibrant culture of computing and drive interdisciplinary collaboration to advance computationally enabled science.

Responsibilities

Research Computing at Pacific Northwest National Laboratory (PNNL) empowers researchers by removing technical barriers to discovery. We provide access to high-performance computing (HPC), GPU-accelerated compute, scientific software, research data management (featuring the PNNL Research Library), and cloud computing. We sit within the Computing and Information Technology directorate, which supports PNNL's mission across science, energy, and national security.

Program Overview

This is a cohort-based internship program. Interns work in small teams, each paired with mentors and project stewards from across the Lab. Assignments run 10 to 12 weeks with the possibility of extension. Participants will be starting in cohort sessions and must be available to start in May or June 2027.

The program includes:

  • Strategically important projects with real deliverables in a team environment

  • Weekly engagement with senior leadership, including briefings and a final presentation to our Directorate

  • A dedicated full-time mentor, coaching sessions, workshops, and Lab tours

  • Exposure to diverse career paths in research computing through collaboration with research scientists, engineers, and leadership

  • Social and networking events throughout the program

Project Areas

Intern teams are assigned to projects based on skills and interests. Examples from previous cohorts:

  • Implementing open-source ML workflow tools to enable research teams to automate and leverage ML platforms

  • Prototyping private Generative AI environments to explore how these technologies can transform research processes

  • Optimizing and parallelizing scientific codes for supercomputers, including participation in a high-performance coding bootcamp

  • Building cloud "blueprint" templates on AWS, Azure, and GCP to help scientists and engineers provision cloud services

  • Developing CI/CD pipelines and supporting application migration with software engineering teams

What We Are Looking For

We are recruiting across three tracks. You do not need to fit all three; identify the one that best matches your coursework and interests.

Software Development Track

  • Coursework or project experience in one or more of: Python, C, C#, JavaScript, React, or R

  • Interest in building tools, APIs, or applications that support scientific research

Data Engineering Track

  • Coursework or project experience in one or more of: Python, R, SQL, or data pipeline concepts

  • Interest in research data management, ML workflows, or analytics infrastructure

IT / Cloud Engineering Track

  • Familiarity with cloud platforms (AWS, Azure, or GCP) or computing infrastructure concepts

  • Foundational knowledge of configuration management, CI/CD, or infrastructure-as-code tools

Across all tracks, we value curiosity, willingness to learn, comfort working in teams, and the ability to communicate technical work to non-technical audiences.

Qualifications

Minimum Qualifications:

  • Candidates must have a high school diploma /GED or higher

  • Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university

  • Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 3.0

Preferred Qualifications:

  • Pursuing a degree in Computer Science, Data Science, Cybersecurity, Information Technology, Human-Centered Design, Electrical/Electronic Engineering, or a related field

  • Cumulative GPA of 3.25 or higher

Hazardous Working Conditions/Environment

Not Applicable

Additional Information

This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements.

Testing Designated Position

This is not a Testing Designated Position (TDP).

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington Stateโ€”the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Labโ€™s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Commitment to Excellence and Equal Employment Opportunity

Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.

Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov .

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

Security, Credentialing, and Eligibility Requirements

As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.

Mandatory Requirements

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a โ€œcountry of riskโ€ without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Rockstar Rewards

Regular Hourly:

Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met.

Temporary Hourly:

Employees are offered an employee assistance program and business travel insurance.

Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards)

Notice to Applicants

PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individualโ€™s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.

As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.

Minimum Salary

USD $17.13/Hr.

Maximum Salary

USD $27.02/Hr.


Pacific Northwest National Laboratory logo

About Pacific Northwest National Laboratory

Sourced by ZipRecruiter

Pacific Northwest National Laboratory (PNNL) is a premier research institution based in Richland, Washington, US. Operated by Battelle Memorial Institute under contract to the US Department of Energy (DOE), it is one of the DOE's seventeen national laboratories. PNNL primarily specializes in fields such as environmental science, energy, nuclear science, and national security. Founded in 1965, the lab has since been committed to its core values of integrity, creativity, collaboration, impact, and courage. Their mission is "to transform the world through courageous discovery and innovation." Notable achievements include significant contributions to projects like the Human Genome Project and the development of grid-friendly appliances.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Richland, WA, US

Year founded

1965