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Internship High Performance Computing Engineer Jobs in Riverside, CA

Amazon

Applied Scientist, Customer360

Irvine, CA · On-site

You will collaborate with scientists, engineers, and product partners locally and abroad. Your work ... computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux ...

Netlist

Systems Engineer

Irvine, CA · On-site

$140K - $160K/yr

NLST) is a leading provider of high-performance modular memory subsystems and next-generation ... We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and ...

Netlist

Systems Engineer

Irvine, CA · On-site

$140K - $160K/yr

NLST) is a leading provider of high-performance modular memory subsystems and next-generation ... We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and ...

Advantech

Vertical Key Account Manager

Irvine, CA · On-site

$90K/yr

The candidate will be required to identify and review engineering specifications, coordinate and ... quality, high-performance computing platforms. We work closely with our partners to deliver ...

Advantech USA

Vertical Key Account Manager

Irvine, CA · On-site +1

$90K - $140K/yr

The candidate will be required to identify and review engineering specifications, coordinate and ... quality, high-performance computing platforms. We work closely with our partners to deliver ...

Netlist

Thermal / Mechanical Engineer

Irvine, CA · On-site

$150K - $180K/yr

NLST) is a leading provider of high-performance modular memory subsystems and next-generation ... We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and ...

Netlist

Thermal / Mechanical Engineer

Irvine, CA · On-site

$150K - $180K/yr

NLST) is a leading provider of high-performance modular memory subsystems and next-generation ... We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and ...

Netlist

Thermal / Mechanical Engineer

Irvine, CA · On-site

$150K - $180K/yr

NLST) is a leading provider of high-performance modular memory subsystems and next-generation ... We specialize in cutting-edge technologies that enable innovation in AI, cloud computing, and ...

Advantech USA

Corporate Sourcer, Temporary

Tustin, CA · On-site

$32 - $36/hr

Experience recruiting across multiple functions, including sales and technical/engineering roles ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Advantech USA

Senior Product Manager

Irvine, CA · On-site +1

$110K - $130K/hr

Coordinate cross-functional teams, including application engineers, supply chain, procurement ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Advantech

Senior Product Manager

Irvine, CA · On-site

$110K - $130K/yr

Coordinate cross-functional teams, including application engineers, supply chain, procurement ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Esri

Solution Architect- ArcGIS

Redlands, CA · On-site

$63.50 - $83.50/hr

... integrating high-performance computing, cloud, and edge-native architecture • Knowledge ... • Programming and scripting experience with Python, JavaScript, and/or HTML5 (modern web ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Riverside, CA

Internship High Performance Computing Engineer information

See Riverside, CA salary details

$11

$62

$102

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

As of Aug 22, 2026, the average hourly pay for internship high performance computing engineer in Riverside, CA is $62.71, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $70.96 per hour, depending on experience, location, and employer.

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 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 are popular job titles related to Internship High Performance Computing Engineer jobs in Riverside, CA?

For Internship High Performance Computing Engineer jobs in Riverside, CA, the most frequently searched job titles are:

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Cities near Riverside, CA with the most Internship High Performance Computing Engineer job openings:

Internship High Performance Computing Engineer jobs near you

Applied Scientist, Customer360

Amazon

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,107 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Are you a scientist who wants to define how AI remembers people, their loved ones, their unique preferences, and the moments that matter? Are you passionate about NLP, large language models, information retrieval, and entity understanding? Do you want to build systems that learn who the people in a customer's life are, what each of them cares about, and retrieve the right knowledge at the right moment? Do you want access to massive datasets, world-class compute, and the freedom to reason from first principles on novel problems? If any of this excites you, we'd love to talk.
Our team is part of Amazon's Personalization organization, building the memory layer that powers how Amazon understands and personalizes for individual customers and their household members. We work at the intersection of NLP, LLMs, entity resolution, and retrieval - disaggregating preferences for each and every customer and their loved ones, and surfacing the most relevant knowledge to power experiences across Amazon that personalize more deeply than ever before. We are a central personalization team, partnering directly with organizations across Amazon to shape how personalization works at scale for years to come.
Key job responsibilities
As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.
Please visit https://www.amazon.science for more information.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

What Amazon employees say

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Benefits

Hours and flexibility

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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