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Internship High Performance Computing Engineer Jobs in Missouri

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 · 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 ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Missouri

Internship High Performance Computing Engineer information

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 are the most commonly searched types of High Performance Computing Engineer jobs in Missouri? The most popular types of High Performance Computing Engineer jobs in Missouri are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Missouri look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Missouri are:
What cities in Missouri are hiring for Internship High Performance Computing Engineer jobs? Cities in Missouri 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 Missouri as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Full-Stack Software Engineer - VLSI Tools

Jobtailor

California, MO • On-site

$152 - $287.50/hr

Other

Posted 5 days ago

Job description

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are now looking for a highly motivated Full-Stack Web Applications Engineers to join this dynamic and innovative Hardware Infrastructure team! Our team is building scalable web services for VLSI designs. This software development team is a multifaceted Agile software team with high production quality standards. We are looking for motivated engineers to build and maintain a new generation of services that enables greater chip design productivity.

What you’ll be doing:
  • Working on backend and frontend design and development of web applications targeting VLSI design and modeling.
  • Collecting requirements and provide consultation to end users about their needs and use cases.
  • Analyzing performance bottlenecks.
  • Supporting and maintaining large scale data platform with high QoS.
  • Building infrastructure and microservices for various big-data scenarios.
What we need to see:
  • 5+ years of experience.
  • Bachelors or Masters in Computer Science or related engineering or equivalent experience.
  • Knowledge of VLSI design, modeling and verification.
  • Experience with JavaScript and Node.js
  • Knowledge of modern frontend frameworks like Vue.js, React.js, Svelte, or Ember.js
  • Comprehensive grasp of web development core concepts and industry standards
  • Experience with design and development of distributed microservices.
  • In depth understanding of database concepts and object modeling.
  • Detailed knowledge of object oriented design, data structures and algorithms
  • Excellent interpersonal skills
Ways to stand out from the crowd:
  • In depth familiarity with coding assistant tools (i.e.: Cursor, Claude Code, Co-pilot)
  • Background with SQL and at least one SQL database server.
  • Experience of developing web services for chip design, modeling and verification.
  • Experience with MongoDB or other noSQL datastores and knowledge of Python or Golang.
  • Flexibility/adaptability for working in a dynamic diverse environment with different frameworks and requirements.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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