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Internship High Performance Computing Engineer Jobs in California

... Engineering team ... This individual will design, implement, optimize, and support high-performance computing solutions ...

... Engineering team ... This individual will design, implement, optimize, and support high-performance computing solutions ...

... Engineering team ... This individual will design, implement, optimize, and support high-performance computing solutions ...

Senior Fortran Compiler Engineer

Santa Clara, CA · On-site

$122.70K - $168.50K/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 ...

... of high-performance computing systems and server platforms. The ideal candidate has strong ... Collaborate with engineering teams to define system specifications and evaluate the interface ...

Senior High Performance AI Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are looking for outstanding Senior High Performance AI Engineer to build groundbreaking multi ...

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Internship High Performance Computing Engineer information

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 are the most commonly searched types of High Performance Computing Engineer jobs in California? The most popular types of High Performance Computing Engineer jobs in California are:
What are popular job titles related to Internship High Performance Computing Engineer jobs in California? For Internship High Performance Computing Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in California look for? The top searched job categories for Internship High Performance Computing Engineer jobs in California are:
What cities in California are hiring for Internship High Performance Computing Engineer jobs? Cities in California with the most Internship High Performance Computing Engineer job openings:
Senior AI Inference Performance Engineer (Remote)

Senior AI Inference Performance Engineer (Remote)

DigitalOcean

San Francisco, CA • Remote

$123.10K - $169.10K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

A leading cloud infrastructure company is seeking a Senior Engineer 2 to join their AI Inference Optimization team. The role involves leading the technical strategy for performance architecture and addressing complex performance issues ensuring industry-leading service. Successful candidates will have over 5 years of experience in high-performance computing and a strong understanding of GPU architectures.

The position offers a competitive salary range along with remote work flexibility and numerous professional development benefits. #J-18808-Ljbffr