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Simulation Software Intern Jobs (NOW HIRING)

City of Cleveland

Energy Intern

Cleveland, OH · On-site

$16.26/hr

Description Energy Intern Part Time 1 year term The purpose of this position is to provide ... simulation software, accounting software, and GIS software are a plus. Excellent written, oral and ...

SkyGig

ML Software Engineer Intern

San Jose, CA · On-site

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build ... Building data pipelines and model-training workflows using simulation results, measurement data ...

SkyGig

ML Software Engineer Intern

San Jose, CA

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build ... Building data pipelines and model-training workflows using simulation results, measurement data ...

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Simulation Software Intern information

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$13

$25

$38

How much do simulation software intern jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for simulation software intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What does a Simulation Software Intern do?

A Simulation Software Intern assists in developing, testing, and optimizing software that models real-world processes or systems. They often work with engineering or research teams to create simulations for testing new products, analyzing data, or validating designs. Responsibilities may include coding, debugging, running simulations, and documenting results. This role provides hands-on experience with simulation tools and programming languages, helping interns build skills for a career in software or engineering.

What types of projects and team collaborations can a Simulation Software Intern expect during their internship?

As a Simulation Software Intern, you will typically work on projects that involve developing, testing, and optimizing simulation models or tools under the guidance of experienced engineers. You'll likely collaborate with multidisciplinary teams, including software developers, data scientists, and domain experts, to ensure the accuracy and usability of simulation results. Interns are often assigned specific modules or features to develop, but also participate in code reviews, sprint meetings, and troubleshooting sessions. This collaborative environment not only helps you build technical skills but also exposes you to real-world workflows and industry best practices.

What are the key skills and qualifications needed to thrive as a Simulation Software Intern, and why are they important?

To thrive as a Simulation Software Intern, you need a solid understanding of programming languages (such as C++, Python, or MATLAB), basic principles of simulation and modeling, and coursework in computer science, engineering, or a related field. Familiarity with simulation tools like Simulink, ANSYS, or similar platforms, as well as version control systems like Git, is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and troubleshoot complex problems. These skills and qualities are vital for developing accurate simulations, supporting project goals, and contributing meaningfully to research and development efforts.
Infographic showing various Simulation Software Intern job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 98% Full Time, and 1% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
AI and Systems Software Intern, At Scale AI - Fall 2026

AI and Systems Software Intern, At Scale AI - Fall 2026

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 10 days ago

Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

NVIDIA is looking for an intern for an exciting role in AI and Systems Software for datacenter applications. You will be deeply involved in system-level debugging, analyzing our large-scale infrastructure reliability, and correlating complex failure modes to underlying hardware or system issues. We are working with the latest Accelerated Computing and Deep Learning software and hardware platforms, along with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. Our team interacts with OS, container technologies, GPU compute, and systems specialists to architect, develop and bring up large scale performance software components and optimize performance.

What you'll be doing:

  • Investigate and triage failures within large-scale compute clusters, performing deep-dive analysis to distinguish between software glitches, configuration errors, and hardware faults.

  • Analyze logs and telemetry to correlate specific job failures to system-level issues and diagnostic test failures, helping to reduce noise and identify root causes.

  • Assist with the tracking, calculation, and reporting on key reliability metrics, specifically Mean Time Between Failures (MTBF) and Mean Time Between Interruptions (MTBI), to drive infrastructure improvements.

  • Assist in analyzing large-scale workload issues, searching for application and infrastructure improvement opportunities to ensure jobs run as fast and reliably as possible.

  • Work closely with a mentor to learn about hardware validation suite architecture, document debugging methodologies, and help the team make intelligent, data-backed engineering decisions.

What we need to see from you:

  • Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

  • Proficiency in Python and Bash/Shell scripting for automation and tool development.

  • Proven debugging skills with an ability to isolate issues in complex, distributed systems.

  • Exposure to high-performance computing (HPC) environments, cluster managers (e.g., Slurm, Kubernetes), or large-scale distributed systems.

Ways to stand out:

  • Familiarity with server architecture (PCIe, NVLink, CPU/GPU interactions) and hardware diagnostics.

  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).

  • Familiarity with system profiling and debugging tools (e.g., strace, gdb, perf).

  • Experience running and analyzing standard industry benchmarks on Linux systems.

  • Desire to learn and be part of a committed and hardworking team with excellent collaboration and communication skills.

  • Ability to multitask effectively in a dynamic, high-performance environment.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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 May 31, 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.
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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