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Internship High Performance Computing Engineer Jobs in Santa Clara, CA

NVIDIA

Senior Fortran Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA's HPC compiler group is seeking a Fortran compiler developer to contribute to the ... high-performance computing, while implementing and improving features in LLVM Flang, OpenACC, and ...

Meta

AI/HPC System Performance Engineer

Menlo Park, CA

$154K/yr

Meta is building large-scale AI and high-performance computing infrastructure to power next-generation AI research and products. As an AI/HPC System Performance Engineer on the Network Infrastructure ...

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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 16, 2026, the average hourly pay for internship high performance computing engineer in Santa Clara, CA is $70.59, according to ZipRecruiter salary data. Most workers in this role earn between $57.88 and $79.90 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 the most commonly searched types of High Performance Computing Engineer jobs in Santa Clara, CA?

The most popular types of High Performance Computing Engineer jobs in Santa Clara, CA are:

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

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

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

Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $146,827 per year, or $70.6 per hour.

System Performance Modeling Engineer

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

$165K/yr

Full-time

Re-posted 12 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE
Join AMD's Pensando team and help shape the next generation of AI, cloud, and networking infrastructure technologies. In this role, you will work on advanced ASIC and SoC platforms that power high-performance computing and data center solutions. As a Senior Modeling Engineer, you will collaborate closely with architecture, design, verification, and software teams to develop system models that support architecture exploration, design validation, and software development acceleration.This is an opportunity to work at the intersection of hardware and software while influencing product development early in the design cycle. You'll be part of a highly collaborative engineering environment where your work directly impacts next-generation infrastructure technologies and helps bring innovative products to market.
THE PERSON
The ideal candidate is a curious and highly motivated engineer who enjoys solving complex system-level challenges and working across multiple engineering disciplines. You possess strong analytical and debugging skills, a passion for modeling and simulation, and the ability to navigate both hardware and software domains. You are comfortable collaborating with architects, designers, verification engineers, and software developers while effectively communicating technical concepts to diverse audiences. Successful candidates are proactive, detail-oriented, and thrive in a fast-paced, team-oriented environment.
KEY RESPONSIBILITIES
  • Develop and integrate high-level, transaction-level, and cycle-accurate models for complex ASIC and SoC platforms.
  • Create models that support architecture exploration, ASIC verification, and software development acceleration.
  • Collaborate with architecture, design, verification, and software engineering teams to develop reusable validation environments.
  • Analyze system behavior, functionality, and performance to identify optimization opportunities.
  • Investigate and debug architectural, functional, and performance-related issues across hardware and software stacks.
  • Contribute to system-level modeling initiatives using SystemC and related simulation frameworks.
  • Develop automation and scripting solutions to improve modeling, simulation, and validation workflows.
  • Influence architecture decisions through modeling, simulation, and performance analysis.
  • Partner with cross-functional teams to accelerate development of next-generation AI, networking, and infrastructure technologies.

PREFERRED EXPERIENCE
  • Strong programming experience in C++.
  • Experience with SystemC modeling and simulation environments.
  • Experience developing models for ASIC verification, architecture exploration, or software development acceleration.
  • Experience working with ASIC design, architecture, and verification teams.
  • Strong debugging and analytical skills with the ability to identify architecture, functionality, and performance issues.
  • Experience developing transaction-level, functional, or cycle-accurate models.
  • Familiarity with complex SoC architectures and system-level modeling methodologies.
  • Experience developing automation and scripting solutions using Python or similar languages.
  • Exposure to ARM Fast Models, ISA modeling, virtual platform development, or OMNeT is a plus.
  • Experience with networking, data center infrastructure, CPU architecture, or high-performance computing technologies is preferred.
  • Strong written and verbal communication skills with the ability to collaborate across multidisciplinary teams.

ACADEMIC CREDENTIALS
Bachelor's or master's degree in electrical engineering, Computer Engineering, Computer Science, or a related technical discipline preferred.
LOCATION: Santa Clara, CA (Hybrid)
This role is not eligible for visa sponsorship.
#LI-CS1
#LI-Hybrid
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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