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Parallel Programming Internship Jobs in Seattle, WA

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 ...

Amazon

Software Engineer II, Leo Regulus

Redmond, WA · On-site

$109K - $149K/yr

We're replacing that entire process with orchestrated AI agent squads that execute in parallel ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Amazon

Software Engineer II, Leo Regulus

Redmond, WA · On-site

$109K - $149K/yr

We're replacing that entire process with orchestrated AI agent squads that execute in parallel ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Amazon

Software Development Engineer

Seattle, WA · On-site

... non-internship design or architecture (design patterns, reliability and scaling) of new and ... parallel computing - Knowledge of Machine Learning and LLM fundamentals, including transformer ...

Amazon

Software Development Engineer

Seattle, WA · On-site

... internship professional software development experience - 2+ years of non-internship design or ... field - Experience programming with at least one software programming language PREFERRED ...

Amazon

Software Engineer, EC2 Nitro

Seattle, WA · On-site

... of non-internship professional software development experience - 4+ years of programming with at ... parallel computing principles PREFERRED QUALIFICATIONS - Knowledge of machine learning model ...

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Parallel Programming Internship information

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$10

$19

$27

How much do parallel programming internship jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for parallel programming internship in Seattle, WA is $19.43, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 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 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.

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 are popular job titles related to Parallel Programming Internship jobs in Seattle, WA? For Parallel Programming Internship jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Parallel Programming Internship jobs in Seattle, WA look for? The top searched job categories for Parallel Programming Internship jobs in Seattle, WA are:
Parallel Programming Internship jobs near you
Senior Research Scientist, Rendering

Senior Research Scientist, Rendering

Nvidia Corporation

Redmond, WA • On-site

$110K - $140K/yr

Full-time

Posted 15 hours ago

Job description

We are now seeking a Senior Research Scientist for Rendering/Path Tracing! For decades NVIDIA has pioneered visual computing, doing innovation for and supporting product design, movie production, PC games, scientific research, and more. Today, NVIDIA leads in practical and efficient real-time path tracing and integrating it into real applications. As an NVIDIAN on the Real-Time Graphics research team, you'll serve as the "high-beams" of NVIDIA's rendering innovation, responsible for discovering, defining, and driving the future of the field-inspiring customers by addressing problems they never imagined to be solvable.
We are looking for a Senior Research Scientist passionate to define the next generation of real-time path tracing, physically based sampling and lighting, denoising, and solving related systems challenges. Specifically, we seek both knowledge of rendering theory and someone who relishes digging into code to bring their ideas to life. In today's world, we cannot afford to leave any tools on the table-we need your help combining theoretical statistical advances, practical engineering, intuitive leaps, and AI techniques.
What you'll be doing:
  • Brainstorming, inventing, publishing, and productizing novel methods to accelerate or improve the quality of path traced imagery.
  • Implementing prototypes of your research ideas.
  • Transferring successful ideas to NVIDIA product teams.
  • Collaborating with fantastic NVIDIA researchers, engineers, and external academics.
  • Helping define team research topics, goals, and guiding other researchers and interns.

What we need to see:
  • Demonstrated experience developing advanced rendering algorithms. PhD (or equivalent experience) and strong publication record, leadership roles on shipped renderers in games or VFX, or widely respected and referenced public presentations sharing your insights.
  • 10+ years of combined experience as a graduate student, industry or academic researcher, rendering engineer, or applied researcher.
  • Track record of high-quality artifacts containing your work---shipped games, films, or publications/presentations on path tracing, sampling, lighting, denoising, etc.
  • Track record of making code performant, efficient, and (ideally) real-time.
  • Deep understanding of rendering theory, sampling, and graphics systems.
  • Strong coding skills with knowledge of C/C++, GPU programming models, parallel programming, and Python.

Ways to stand out from the crowd:
  • Understanding of and interest in advancing sampling algorithms, e.g., ReSTIR.
  • Track record of research ideation and/or tech transfer of productized research.
  • Clear understanding of rendering challenges in games and/or film.
  • Familiarity with how GPUs work and how that impacts performant code.

NVIDIA is widely considered to be one of the world's most desirable employers, with amazingly talented people across the company. If you're an experienced and creative researcher or engineer with a passion for real-time graphics, 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 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 13, 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.
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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