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Internship High Performance Computing Engineer Jobs in Rochester, NY

onsemi

Manufacturing Integration Engineer

Hopewell, NY · On-site

$127K - $217K/yr

... and high-volume manufacturing. * Monitor electrical performance and device performance ... Collaborate with systems engineering, product engineering, packaging, and applications teams to ...

Lovingly

DevOps Solutions Engineer

Hopewell, NY · On-site

$53.25 - $73/hr

... high-performance, innovation-centric culture. AI-First Thinking at Lovingly We believe AI is not ... Engineer , you won't just maintain systems-you'll reimagine how AI accelerates our development ...

onsemi

Reliability Lab Engineer

Livonia, NY

$104K - $131K/yr

* Reliability Lab Engineering work for IGBT, HV Si, HV SiC Discrete and Module product. * Design of ... We are committed to sourcing, attracting, and hiring high-performance innovators, while providing ...

onsemi

Senior Product Engineer

Livonia, NY

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing ... Qualification & Requirement BS or MS in Electrical Engineering or related technical field (example:

Fermilab

High Level RF Engineer

Batavia, NY

$88K - $116K/yr

What your day-to-day as a High-Level RF Engineer at Fermilab will look like: * Design, develop ... Collaborate with technical staff to verify system functionality and performance. * Perform ...

Arxada

Reliability Engineer

Rochester, NY · On-site

$138K/yr

... high-performance applications. Arxada is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin ...

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Internship High Performance Computing Engineer information

See Rochester, NY salary details

$10

$59

$96

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

As of Jul 17, 2026, the average hourly pay for internship high performance computing engineer in Rochester, NY is $59.30, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $67.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

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 Rochester, NY? For Internship High Performance Computing Engineer jobs in Rochester, NY, the most frequently searched job titles are:
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What cities near Rochester, NY are hiring for Internship High Performance Computing Engineer jobs? Cities near Rochester, NY with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you
Junior Process Engineer for Bucheon Site.

Junior Process Engineer for Bucheon Site.

onsemi

Livonia, NY

Full-time

Posted 14 days ago

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

The Process Engineer is responsible for developing, optimizing, and sustaining semiconductor manufacturing processes to ensure stable production, high yield, and high-quality products. This role works closely with manufacturing, equipment, and engineering teams to support process improvement and technology deployment.

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
  • Bachelor's degree or higher in Engineering (Electrical, Electronic, Materials, Chemical, or related fields)
  • Experience in semiconductor process engineering or manufacturing environment preferred
  • Understanding of semiconductor fabrication processes and basic device physics
  • Strong analytical and problem-solving skills
  • Ability to work effectively in cross-functional teams
  • Good communication skills in English
  • Develop, optimize, and maintain semiconductor manufacturing processes
  • Support process integration, yield improvement, and defect reduction activities
  • Plan, execute, and analyze DOE and engineering runs
  • Monitor inline data and identify process issues and root causes
  • Collaborate with equipment, device, and manufacturing teams for process improvements
  • Support process transfer, qualification, and production ramp-up activities

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