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Internship High Performance Computing Engineer Jobs in Boulder, CO

Introl

Data Center Technician

Denver, CO · On-site

$30 - $36/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

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Internship High Performance Computing Engineer information

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$11

$62

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

As of Aug 7, 2026, the average hourly pay for internship high performance computing engineer in Boulder, CO is $62.34, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.53 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 are popular job titles related to Internship High Performance Computing Engineer jobs in Boulder, CO? For Internship High Performance Computing Engineer jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Boulder, CO look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Boulder, CO are:
Internship High Performance Computing Engineer jobs near you

Principal Systems Performance Engineer

Micron Technology

Longmont, CO • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 22 days ago

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers

Job description

Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron's Data Center Workload Engineering team tests how memory and storage products perform in complete data center systems. We deploy customer-representative AI, database, virtualization, and software-defined storage workloads in production-class labs. We trace I/O from the application through the system to the SSD to explain performance and identify opportunities to improve it.
As a Principal Systems Performance Engineer, you will lead complex performance studies from the initial question through the final recommendation. You will personally lead the hardest investigations while setting technical direction for the team. Your work will guide SSD architecture and product development and help customers get the best performance from Micron products. This is a hands-on senior individual-contributor role.
Key Responsibilities
  • Lead application performance studies on enterprise servers, GPU-accelerated systems, and data center storage platforms.
  • Deploy customer-representative workloads across one or more areas, such as AI training and inference, checkpointing, KV-cache offload, data preparation, databases, virtualization, and software-defined and object storage.
  • Develop test plans with clear hypotheses, realistic configurations, appropriate controls, and repeatable methods.
  • Instrument systems and trace I/O from the application through the software and storage stack to the SSD. Measure application throughput, completion time, scaling efficiency, tail latency, consistency, and power, then correlate those results with system and device telemetry.
  • Isolate bottlenecks across applications, operating systems, drivers, networks, PCIe, NVMe, and storage devices. Recommend software, system, or product changes based on the findings.
  • Build automation, test harnesses, and analysis tools that improve test coverage, repeatability, and turnaround time.
  • Evaluate new SSD features, system architectures, and competing solutions with real applications and customer use cases.
  • Turn test results into engineering reports, technical briefs, reference architectures, and presentations for engineering teams, customers, and executives.
  • Work directly with SSD architects, product engineers, customer teams, and ecosystem partners to translate findings into architecture, product-roadmap, software, and customer-deployment decisions.
  • Set technical direction for performance work, review methods and results, and mentor engineers across the team.

Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 8 years of experience.
  • Extensive experience leading complex systems performance, application benchmarking, or workload characterization work.
  • Hands-on experience deploying and debugging data center applications on Linux systems.
  • Deep understanding of system performance and the storage I/O path, including Linux I/O, file systems, block storage, NVMe, and PCIe.
  • Experience with performance and system-analysis tools such as perf, eBPF, bpftrace, application profilers, fio, or equivalent tools.
  • Proficiency in Python or another language used to automate tests and analyze data.
  • Demonstrated ability to lead ambiguous technical work, identify root causes, and make recommendations supported by data.
  • Clear written and verbal communication with engineering, customer, and executive audiences.

Preferred Qualifications
  • Experience testing AI infrastructure or another production data center workload domain such as databases, virtualization, high-performance computing, or distributed storage.
  • Experience with GPU-accelerated systems and AI frameworks.
  • Experience with software-defined or object storage platforms such as WEKA, Ceph, Cloudian, or MinIO.
  • Experience measuring power, efficiency, quality of service, or storage device behavior under application load.
  • A record of technical influence through product decisions, customer outcomes, design reviews, reusable tools, publications, patents, or open-source contributions.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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