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Internship High Performance Computing Engineer Jobs in Orange, CA

Q-CTRL

Software Engineer

Los Angeles, CA

$130K - $170K/yr

Experience building high-performance backend systems. * Experience with asynchronous programming ... Interest in quantum computing or scientific software. * Experience with Rust, Go, or other systems ...

Q-CTRL

Software Engineer

Los Angeles, CA · On-site

$130K - $170K/yr

Experience building high-performance backend systems. * Experience with asynchronous programming ... Interest in quantum computing or scientific software. * Experience with Rust, Go, or other systems ...

Q-CTRL

Software Engineer

Los Angeles, CA · On-site

$130K - $170K/yr

Experience building high-performance backend systems. * Experience with asynchronous programming ... Interest in quantum computing or scientific software. * Experience with Rust, Go, or other systems ...

Q-CTRL

Software Engineer

Los Angeles, CA

$130K - $170K/yr

Experience building high-performance backend systems. * Experience with asynchronous programming ... Interest in quantum computing or scientific software. * Experience with Rust, Go, or other systems ...

Q-CTRL

Senior Compiler Engineer

Los Angeles, CA · On-site

$135K - $210K/yr

... computing systems. Working closely with researchers and quantum engineers, you will bridge the gap between quantum algorithms and physical hardware by building a high-performance compiler capable of ...

Q-CTRL

Senior Compiler Engineer

Los Angeles, CA · On-site

$135K - $210K/yr

... computing systems. Working closely with researchers and quantum engineers, you will bridge the gap between quantum algorithms and physical hardware by building a high-performance compiler capable of ...

Advantech USA

Sr. Engineer-RISC

Irvine, CA

$100K - $120K/yr

Senior Electrical Engineer - RISC Location(s): Tustin, CA - Onsite Compensation: $100,000-120,000 ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Advantech

Sr. Engineer-RISC

Irvine, CA · On-site

$100K - $120K/yr

Senior Electrical Engineer - RISC Location(s): Tustin, CA - Onsite Compensation: $100,000-120,000 ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Relativity Space

Sr Aerodynamics Engineer

Long Beach, CA · On-site

$109K - $150K/yr

Ideally, you have significant compressible flow, CFD, and high-performance computing (HPC ... Undergraduate degree in engineering or related field * 5+ years relevant experience * Demonstrated ...

Marvell

Senior Principal Test Engineer

Irvine, CA · On-site

$134K - $185K/yr

... high-performance computing (HPC) chipsets. The individual is charged to work with cross functional ... every stage - from internship to retirement and through life's most important moments. Our ...

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

Internship High Performance Computing Engineer information

See Orange, CA salary details

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

As of Aug 23, 2026, the average hourly pay for internship high performance computing engineer in Orange, CA is $64.21, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $72.69 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 job categories do people searching Internship High Performance Computing Engineer jobs in Orange, CA look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Orange, CA are:

What cities near Orange, CA are hiring for Internship High Performance Computing Engineer jobs?

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

Internship High Performance Computing Engineer jobs near you

Software Engineer

Q-CTRL

Los Angeles, CA

$130K - $170K/yr

Full-time

Re-posted 4 days ago

Job description

About the team
At Q-CTRL, Quantum Computing Engineering is a global team of software engineers and infrastructure experts,combining deep technical expertise with a startup mindset to deliver real impact through software innovation. Our work is underpinned by robust standards, and by embracing the three virtues. Our team excels in areas across back-end, front-end, machine learning, and platform engineering.
 
We transform Q-CTRL's world-leading technological breakthroughs into commercial software products with applications across defense, research, and industry. We work closely with Product, Design, and Research teams to accelerate the path to quantum advantage worldwide.

About the role

As a Software Engineer on the Boulder Opal team, you will build the backend infrastructure that supports our quantum software platform. You'll work alongside compiler engineers and researchers to develop scalable backend systems, APIs and performance-critical services while growing your understanding of compiler technologies and quantum computing.

This role is ideal for a strong backend engineer interested in systems programming who wants to develop expertise in compiler engineering over time.

What you'll be doing:
  • Design, build and maintain scalable backend services in Python and C++.
  • Develop APIs and backend services supporting our compiler and quantum runtime.
  • Build reliable distributed systems and cloud-native services.
  • Improve performance, reliability and observability across backend components.
  • Collaborate with compiler engineers to integrate new compiler capabilities into production systems.
  • Work with researchers and product teams to deliver new platform capabilities.
  • Learn and contribute to compiler infrastructure as your expertise grows.
Ideally, you'll have:
  • Bachelor's degree in Computer Science, Engineering or related discipline.
  • Strong programming skills in Python.
  • Experience with modern C++.
  • Experience building backend systems or distributed services.
  • Experience designing APIs using REST, gRPC or GraphQL.
It would be fantastic (but not essential) if you bring:
  • Experience building high-performance backend systems.
  • Experience with asynchronous programming and concurrency.
  • Experience with FastAPI, Flask or Django.
  • Familiarity with compiler concepts or programming language implementation.
  • Exposure to LLVM or MLIR.
  • Interest in quantum computing or scientific software.
  • Experience with Rust, Go, or other systems programming languages.
Salary
The targeted base salary range for this position is between $130,000 - $170,000 and will ultimately be determined by specific job-related skills, experience, level, location and other contributing factors. Depending on the position offered, this role may be eligible for annual discretionary bonuses, equity and other forms of compensation outside of the targeted base salary range. For more information on benefits at Q-CTRL, please visit our careers page at https://q-ctrl.com/careers.
 
Should you have any questions related to the compensation package, please speak directly with the Talent Acquisition representative.

About Q-CTRL
Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact.
 
Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting-edge science into deployable technology.
 
In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry.
 
At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!
 
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
Please be advised that our communications will only come from the @q-ctrl.com domain. All our active job postings are available on our company website.
 
To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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