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Parallel Programming Internship Jobs (NOW HIRING)

Nvidia

$104K - $143K/yr

... interns. * Working closely with product management and other internal and external customers to ... Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads. * Good ...

Etched

Performance Tools Intern

San Jose, CA · On-site

During your internship, you may: * Build components of our performance analysis and profiling ... and parallel programming. * Experience or strong interest in low-level performance analysis ...

Oracle Corporation

Systems Software Engineer 1

Nashville, TN · On-site

$167K - $198K/yr

... Computing, Parallel Programming. * Have proven experience (internships, projects, coursework) working on at least two of the following areas: * Linux Operating Systems, Web Services, Compute ...

Etched

Performance Tools Intern

San Jose, CA · On-site

During your internship, you may: * Build components of our performance analysis and profiling ... and parallel programming. * Experience or strong interest in low-level performance analysis ...

Synopsys

Senior R&D Engineer - Job ID 18042

Canonsburg, PA · On-site

$96K - $131K/yr

May be responsible for managing interns or co-ops but typically does not have direct reports ... parallel programming, with GPU programming, in C, C++ and Fortran for large-scale numerical ...

Nvidia

Senior Research Scientist, Rendering

Redmond, WA

$110K - $140K/yr

Helping define team research topics, goals, and guiding other researchers and interns. What we need ... Strong coding skills with knowledge of C/C++, GPU programming models, parallel programming, and ...

Xsolla

AI-First Engineering Intern

Los Angeles, CA · On-site

$20 - $25/hr

You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination ...

Xsolla

AI-First Engineering Intern

Los Angeles, CA · On-site

$20 - $25/hr

You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination ...

Xsolla

AI-First Engineering Intern

Raleigh, NC

$20 - $25/hr

You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination ...

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Parallel Programming Internship information

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How much do parallel programming internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for parallel programming internship in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a parallel programming internship?

A Parallel Programming Internship is an opportunity for students or recent graduates to gain hands-on experience in developing software that can execute multiple operations simultaneously. Interns work with technologies such as multi-core processors, GPUs, and distributed computing systems to optimize code for speed and efficiency. These positions are commonly found in industries like scientific research, finance, and tech companies where high-performance computing is crucial. Interns typically gain skills in languages and frameworks like C++, Python, CUDA, OpenMP, and MPI while collaborating with experienced engineers. The experience prepares them for advanced roles in software development and high-performance computing.

What types of projects do interns typically work on during a parallel programming internship?

During a Parallel Programming Internship, interns often contribute to projects involving optimization of existing code, development of parallel algorithms, or performance analysis using multi-core processors or GPUs. You may be tasked with refactoring sequential code to run efficiently on parallel architectures, collaborating with senior engineers, and utilizing frameworks like OpenMP, MPI, or CUDA. These projects provide hands-on experience in solving computational bottlenecks and working closely with cross-functional development teams. This exposure helps build a strong foundation for further roles in high-performance computing or software engineering.

What are the key skills and qualifications needed to thrive as a parallel programming intern, and why are they important?

To thrive as a Parallel Programming Intern, you need a solid understanding of computer science fundamentals, algorithms, and concurrency concepts, often supported by coursework in parallel computing or a related field. Familiarity with programming languages such as C/C++, Python, and parallel computing frameworks like OpenMP, MPI, or CUDA is typically required. Strong analytical thinking, problem-solving ability, and effective teamwork are key soft skills for excelling in collaborative and technical environments. These skills and qualifications are vital for efficiently developing, debugging, and optimizing programs that leverage parallel architectures for improved performance.

What is the difference between Parallel Programming Internship vs Software Development Internship?

AspectParallel Programming InternshipSoftware Development Internship
Required SkillsParallel algorithms, C/C++, CUDA, OpenMPProgramming languages, software design, debugging
Work EnvironmentResearch labs, tech companies focusing on high-performance computingSoftware firms, startups, tech companies
Industry UsageHigh-performance computing, scientific researchWeb, mobile, enterprise applications
Common Search IntentParallel programming, HPC internshipsSoftware development, coding internships

While both internships involve programming skills, a Parallel Programming Internship focuses on high-performance computing and parallel algorithms, often requiring knowledge of C/C++ and GPU programming. In contrast, a Software Development Internship covers broader software engineering skills applicable across various industries. The choice depends on your interest in specialized parallel computing versus general software development.

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Parallel Programming Internship jobs near you
Infographic showing various Parallel Programming Internship job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.

Senior Research Scientist, Efficient Deep Learning

Nvidia

Santa Clara, CA

$115K - $147K/yr

Full-time

Re-posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join our learning and perception research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are particularly excited about methods for post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and fine-tuning, and so forth. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.

What you'll be doing:

  • Research, design and implement novel methods for efficient deep learning.

  • Publish original research. Speak at conferences and events.

  • Collaborate on research with internal team members, internal teams as well as external researchers. Mentor interns.

  • Work with product groups to transfer technology.

What we need to see:

  • A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.

  • 3+ years or relevant post-graduate research experience

  • Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

  • A background in pruning, quantization, NAS, efficient backbones is required.

  • Experience with large language models and large vision-language models is a plus.

  • Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA).

  • Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

  • An outstanding research track record and strong communications skills.

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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