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Internship High Performance Computing Engineer Jobs in Orange, CA

Q-CTRL

Principal Software Engineer

Los Angeles, CA

$260K - $335K/yr

High performance computing and/or machine learning experience a bonus. Critical skills necessary ... Strong programming skills in languages like Python, Rust, and Go. Salary The targeted base salary ...

Q-CTRL

Principal Software Engineer

Los Angeles, CA

$260K - $335K/yr

High performance computing and/or machine learning experience a bonus. Critical skills necessary ... Strong programming skills in languages like Python, Rust, and Go. Salary The targeted base salary ...

Q-CTRL

Principal Software Engineer

Los Angeles, CA · On-site

$260K - $335K/yr

High performance computing and/or machine learning experience a bonus. Critical skills necessary ... Strong programming skills in languages like Python, Rust, and Go. Salary The targeted base salary ...

Freeform

Software Engineer

Los Angeles, CA

$115K - $150K/yr

You'll work with a talented engineering team from some of the world's most innovative companies across a range of projects including controls, high-speed data acquisition, high-performance computing ...

Freeform

Software Engineer

Los Angeles, CA

$115K - $150K/yr

You'll work with a talented engineering team from some of the world's most innovative companies across a range of projects including controls, high-speed data acquisition, high-performance computing ...

Freeform

Software Engineer

Los Angeles, CA · On-site

$115K - $150K/yr

You'll work with a talented engineering team from some of the world's most innovative companies across a range of projects including controls, high-speed data acquisition, high-performance computing ...

Introl

Data Center Technician

Los Angeles, CA · On-site

$30 - $36/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

Inversion

Simulation Engineer I, Arc Vehicle

Los Angeles, CA · On-site

$71K - $124K/yr

Maintain and troubleshoot simulation backend infrastructure, high-performance computing (HPC) nodes ... Typically 1+ years of internship, academic research, or professional experience developing software ...

Navitas Semiconductor

Product Engineer, SiC

Torrance, CA · On-site

$90K - $135K/yr

Our products enable faster, more efficient power delivery across AI data centers, high-performance computing, energy and grid infrastructure, and industrial electrification. The Product Engineer ...

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Internship High Performance Computing Engineer information

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

As of Aug 2, 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 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 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

High Performance Compute Responsible Engineer

Relativity Space

Long Beach, CA • On-site

Full-time

PTO

Re-posted 24 days ago

Relativity Space rating

9.7

Company rating: 9.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

1st of 71 rated aerospace companies

Job description

At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.
Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.
About the Team:
The Interplanetary Sciences Program was established to expand access to scientific exploration across our solar system. Its mission is to make planetary research faster, more affordable, and more capable than ever before by rethinking how science missions are designed, built, and operated. The program aims to enable scientists to send instruments to distant worlds without decades of development or prohibitive costs. By creating a sustainable model for interplanetary exploration, we are transforming space science from an occasional event into a continuous process of discovery that accelerates knowledge, broadens participation, and inspires the next generation of explorers.
About the Role:
You'll own the compute hardware from architecture through bring up - there's no hand-off to another team mid-stream. You pick the components, you design the board, you're the one powering it on and debugging it with the software team
  • Design the compute boards that deliver ≥10 TFLOPS of processing power for onboard AI/ML inference and science data processing within the Relay Data Center, owning the hardware from schematic capture through board-level validation
  • Architect and implement power delivery networks for high-complexity carrier boards, including 500W+ multi-rail designs with tight sequencing integrating GPU or CPU compute modules onto custom PCBs with high-speed coherent interconnects
  • Define thermal interface requirements (power dissipation budgets, junction temperature limits, interface material selection) and hand off specifications to the mechanical team, who own the thermal and packaging solution
  • Design and validate high-speed memory interfaces (HBM, DDR5), PCIe Gen 4/5 chip-to-chip links, and 10 GbE+ Ethernet connections to the payload network, along with board-level power monitoring, current limiting, and radiation upset recovery circuitry
  • Lead hardware bringup and board-level validation. Diagnose and resolve issues hands-on while collaborating closely with the software engineers who are building the software environment on top of your hardware

About You:
  • BSEE with 5+ years designing and bringing up high-speed digital compute boards, ideally with direct exposure to GPU, HPC, or modern accelerator platforms
  • Proficient in high-speed digital PCB design principles: multi-GHz signaling, dense BGA escape routing on high layer count stackups, and signal integrity analysis through both simulation and measurement
  • Strong command of power integrity and power delivery network design, including multi-rail architectures, power management IC selection, voltage sequencing, and board-level current limiting
  • Strong working experience with high-speed serial interface design, analysis and debug, particularly PCIe Gen 4/5 topology, configuration, and Ethernet

Nice to haves but not required:
  • Experience writing basic firmware for hardware bring up and validation
  • Hands-on embedded systems debug skills that let you move between careful pre-fab analysis and fast, practical problem-solving on the bench
  • Experience with COTS hardware for space applications, including radiation awareness, component derating, and upset mitigation techniques (ECC memory scrubbing, watchdog/reset architectures)
  • Hands-on experience with physical PCB layout, particularly for complex, high-layer-count boards with dense BGA packages
  • Familiarity with thermal management at the board and system level, including junction temperature modeling, thermal interface material selection, and collaborating with mechanical engineers on packaging solutions for high-TDP modules

At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.
Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.
Hiring Range:
$175,000-$263,000 USD
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com.
Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.

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