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Internship Computer Chip Engineer Jobs in St Louis, MO

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... Engineering, Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing ...

... Engineering, Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing ...

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Internship Computer Chip Engineer information

See St Louis, MO salary details

$10

$18

$28

How much do internship computer chip engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for internship computer chip engineer in St. Louis, MO is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What is the difference between Internship Computer Chip Engineer vs Entry-Level Computer Chip Engineer?

AspectInternship Computer Chip EngineerEntry-Level Computer Chip Engineer
QualificationsCurrently enrolled or recent graduate, some coursework in electrical engineering or computer engineeringBachelor's degree in electrical/computer engineering or related field
Work EnvironmentInternship programs, supervised tasks, learning-focusedFull-time professional role, project responsibilities
Employer & IndustryTech companies, semiconductor firms, research labsSemiconductor companies, tech firms, manufacturing

Internship Computer Chip Engineers are students or recent graduates gaining hands-on experience, often part-time or temporary. Entry-Level Computer Chip Engineers are full-time professionals responsible for designing and testing chips. Internships serve as a stepping stone, while entry-level roles involve more responsibility and independence in the industry.

What job categories do people searching Internship Computer Chip Engineer jobs in St. Louis, MO look for? The top searched job categories for Internship Computer Chip Engineer jobs in St. Louis, MO are:
What cities near St. Louis, MO are hiring for Internship Computer Chip Engineer jobs? Cities near St. Louis, MO with the most Internship Computer Chip Engineer job openings:
Infographic showing various Internship Computer Chip Engineer job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $39,059 per year, or $18.8 per hour.

Performance Engineer Intern, Systems Software- Fall 2026

Nvidia

Saint Louis, MO • On-site

Full-time

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


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 is a worldwide technology company headquartered in Santa Clara, California. NVIDIA manufactures graphics processing units (GPUs), as well as system on a chip units (SOCs) for the expanding markets. Our work in visual computing, the art and science of computer graphics, has led to thousands of patented inventions, breakthrough technologies, deep industry relationships and a globally recognized brand. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers inventions such as artificial intelligence and autonomous cars.

You would join the team responsible for the maintenance, development, and execution of Desktop Gaming Performance testing in Linux and Windows environments for the world's fastest, power efficient GPUs. This job has a preferred duration of 8-12 months.

What you'll be doing:

  • Writing and maintaining containerized GPU accelerated workloads for the financial services industry, from deep learning training and inference, to portfolio optimization and backtesting.

  • Running,validating, and analyzing benchmarking models at scale on HPC clusters.

  • Visualizing performance data, building charts and dashboards using internal schemas and tooling.

  • Working closely with the latest and greatest in financial AI models and tooling to help build reference models for NVIDIA.

What we need to see:

  • Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer Science, or related field.

  • Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures.

  • Comfort with teamwork, collaboration,and a desire to reach across functional borders to develop new partnerships.

  • Active experience with Python.

  • Working comfort in a Linux command-line environment with version control.

  • Foundational understanding and interest of the machine learning lifecycle (training, evaluation, and inference).

Ways to stand out from the crowd:

  • Familiarity with PyTorch and/or training, testing, and evaluating machine learning models.

  • Experience with GPU computing or CUDA and libraries like cuOPT, CUTLASS, cuDNN, etc.

  • Exposure to workload orchestration and job schedulers (Kubernetes, Slurm).

  • Experience with containerized applications and resource management.

  • Interest in quantitative finance and applying performance data to real-world problems.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until July 10, 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