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Internship High Performance Computing Engineer Jobs in Riverside, CA

Advantest

Senior Software Engineer

Lake Forest, CA · Hybrid

$129.20K - $170.30K/yr

Develop software, drivers, and test programs for advanced silicon targeting SLT (System Level Test), Burn-In, and HPC (High-Performance Computing) platforms * Engineer software for control ...

Advantest

Senior Software Engineer

Lake Forest, CA · Hybrid

$129.20K - $170.30K/yr

Develop software, drivers, and test programs for advanced silicon targeting SLT (System Level Test), Burn-In, and HPC (High-Performance Computing) platforms * Engineer software for control ...

Advantest

Senior Software Engineer

Lake Forest, CA · On-site

$129.20K - $170.30K/yr

Develop software, drivers, and test programs for advanced silicon targeting SLT (System Level Test), Burn-In, and HPC (High-Performance Computing) platforms * Engineer software for control ...

Advantest

Senior Software Engineer

Lake Forest, CA · On-site

$129.20K - $170.30K/yr

Develop software, drivers, and test programs for advanced silicon targeting SLT (System Level Test), Burn-In, and HPC (High-Performance Computing) platforms * Engineer software for control ...

Eagle Mountain Data

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Director, Infrastructure Sales (GPU & HPC)

Irvine, CA · Remote

$225K - $245K/yr

Company Description Eagle Mountain Data Inc. (EMDI) is a developer of scalable "AI Factories"--data centers specifically engineered for high-performance computing (HPC) and artificial intelligence ...

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

As of May 30, 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 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 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 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 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 job categories do people searching Internship High Performance Computing Engineer jobs in Riverside, CA look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Internship High Performance Computing Engineer jobs? Cities near Riverside, CA with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you
Sr Software Engineer - High Performance Computing

Sr Software Engineer - High Performance Computing

The Trade Desk

Irvine, CA • On-site

$129.90K - $171.30K/yr

Full-time

Posted 20 days ago

Job description

Job Summary:
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising. They are seeking a Senior Software Engineer to work on system-level optimization and ensure the health and scalability of user data infrastructure while participating in all aspects of the software lifecycle.
Responsibilities:
• You will be working on system-level optimization in throughput and network bandwidth as well as applying creative probabilistic algorithms to support future scale of user targeting data.
• You will be responsible for ensuring health and scalability the user data infrastructure of as our platform evolves.
• We expect our engineers to be end-to-end owners. You will participate actively in all aspects of software lifecycle, including research, experimentation, architecture, coding, quality assurance, monitoring, maintenance, continuous optimization and automation.
• You will have the opportunity, depending on your interests and aptitude, to work on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces – to name a few.
• Senior Engineers contribute to more than our product – they build up our team. Through a combination of mentoring, technical leadership, and/or direct management of small teams, they make others better and raise the bar for those around them.
Qualifications:
Required:
• A minimum of 6+ years’ professional experience in high impact software development environment
• Hands-on experience with a variety of platforms and technologies: .NET Core & C#, Java, Linux, Networking, Streaming Systems, NoSQL databases, Distributed Systems
• Deep expertise at the intersection of distributed system, high-performance computing, math and advertising, ideally someone who has built large-scale distributed systems and understands ads ecosystem
• Responsible for planning and execution of initiatives, guiding and assigning work for other team members, but not necessarily as a people manager
• Understanding of Agile development methodology and development practices
• Bachelor’s/Master’s level degree in a computer-science or relevant engineering related field or equivalent experience
• Proven records of building distributed systems that are always online
• Ability to evaluate specific solutions for specific problems
• Ability to work with confidence and without ego, hold defensible ideas and advocate for what you believe is right
• Ability to identify and evaluate trade-offs, willing to be proven wrong, and support your fellow teammates
• Ability to value, seek out, and foster diversity
• Creative thinker, ready to learn and innovate, and not bound by 'the way things have always been done'
Company:
The Trade Desk is an online demand-side platform that provides buying tools for digital media buyers. Founded in 2009, the company is headquartered in Ventura, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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