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Internship High Performance Computing Engineer Jobs in Simi Valley, CA

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 ...

Our client is building a next-generation platform that combines AI, simulation, and high-performance computing to help engineers design everything from aircraft and cars to semiconductors and energy ...

As a Senior Aerodynamics Engineer, you will generate and database the aerodynamic characteristics ... Experience with high-performance computing environments and large-scale CFD campaign automation

... high-performance computing (HPC) , software-in-the-loop (SIL) testing , and hardware-in-the-loop ... Work with back-end engineers to integrate the front-end with the back-end and deliver a smooth user ...

Senior Platform Engineer

Los Angeles, CA · On-site

$139K - $201K/yr

... high-performance computing (HPC) , software-in-the-loop (SIL) testing , and hardware-in-the-loop ... Work closely with developers/engineers to design, implement, and manage continuous integration ...

As the Senior Aerothermal Environments Engineer, you will develop and database the aerothermal ... Experience with high-performance computing environments and large-scale CFD campaign automation

Showing results 21-40

Internship High Performance Computing Engineer information

See Simi Valley, CA salary details

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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 Simi Valley, CA is $62.05, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $70.24 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 cities near Simi Valley, CA are hiring for Internship High Performance Computing Engineer jobs?

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

Senior Compiler Engineer

Q-CTRL

Los Angeles, CA • On-site

$135K - $210K/yr

Full-time

Re-posted 18 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 Senior Software Engineer on the Boulder Opal team, you will lead the design and evolution of the compiler that powers next-generation quantum 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 translating pulse-level programs into controller instructions.

This is a hands-on senior engineering role for someone with deep compiler expertise who enjoys solving challenging systems problems and influencing technical direction.

What you'll be doing:
  • Design, implement and optimise compiler infrastructure, intermediate representations, optimisation passes and code generation.

  • Maintain and evolve our bespoke Python DSL used by researchers to construct pulse-level quantum programs.

  • Build high-performance software using Python and C++.

  • Work closely with researchers to translate experimental algorithms into production-quality compiler capabilities.

  • Run experiments on quantum hardware to validate compiler outputs end-to-end.

  • Influence technical direction, mentor other engineers and drive engineering best practices.

Ideally you'll have:
  • Strong proficiency in Python and C++.

  • Experience with LLVM, particularly MLIR.

  • Experience implementing language tooling, parsers or DSLs.

  • Significant experience designing production compiler systems.

  • Experience with compiler architectures, intermediate representations, optimisation passes and code generation.

  • Strong understanding of systems programming and software architecture.

It would be fantastic (but not essential) if you bring:
  • Experience with quantum control systems or pulse-level programming.
  • Experience with experimental characterisation of superconducting or semiconductor spin qubits.
  • Experience with RF signal processing concepts such as IQ modulation.
  • Experience using laboratory instrumentation (AWGs, digitisers, oscilloscopes, SCPI-controlled instruments).
  • Experience with FPGA development (Verilog, VHDL or HLS).

Salary
The base salary for this position is targeted between $135,000 - $210,000 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 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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