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Internship High Performance Computing Engineer Jobs in St Charles, MO

Mastercard, Inc.

Senior Software Engineer

O Fallon, MO · On-site

$114K - $151K/yr

Our high-performance Java platform processes billions of transactions each month, delivering the ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

Mastercard

Senior Software Engineer

O Fallon, MO · On-site

$114K - $151K/yr

Our high-performance Java platform processes billions of transactions each month, delivering the ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

Mastercard

Senior Software Engineer

O Fallon, MO · On-site

$114K - $151K/yr

Our high-performance Java platform processes billions of transactions each month, delivering the ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

MasterCard

Senior Software Engineer

O Fallon, MO

$114K - $151K/yr

Our high-performance Java platform processes billions of transactions each month, delivering the ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

Varsity Tutors

C++ Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

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Internship High Performance Computing Engineer information

See St Charles, MO salary details

$10

$56

$92

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

As of Aug 11, 2026, the average hourly pay for internship high performance computing engineer in St. Charles, MO is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $64.04 per hour, depending on experience, location, and employer.

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 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 cities near St. Charles, MO are hiring for Internship High Performance Computing Engineer jobs? Cities near St. Charles, MO with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you

Raytracing Compiler Engineer - Developer and Performance Technology

Nvidia

Saint Louis, MO

$136K/yr

Full-time

Re-posted 22 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Raytracing Compiler Engineer to join as a member of our international engineering team.

What you'll be doing:

  • Guide the design and implementation of a new LLVM-based backend JIT compiler targeting NVIDIA GPUs.

  • Design and develop new compiler passes and optimizations required to meet the high-performance and low compilation time requirements of the compiler.

  • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions.

  • Apply and adapt the latest compiler technologies to produce premier, robust, supportable compilers and tools.

  • Get a chance to influence and work on new GPU architectures.

What we need to see:

  • B.S. or higher degree in Computer Science/Engineering or equivalent experience.

  • 12+ years of compiler development experience, including 3+ years of experience in LLVM with a focus on code generation.

  • Expertise in LLVM code generation, including instruction scheduling, software pipelining, register allocation, and LLVM IR.

  • Proficient in compiler design and in performance analysis tools.

  • Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks.

  • Strong background in software engineering principles crafting robust and maintainable solutions to challenging problems.

  • Good communication and documentation skills and self-motivated.

Ways to stand out from the crowd:

  • Masters or PhD preferred, with 5+ years of relevant experience.

  • Developing compiler optimizations and code generation for GPUs!

  • Developing CUDA, DirectX, OpenGL/Vulkan, OptiX applications.

  • You should have strong interpersonal skills and be capable of leading and influencing others in the department.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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