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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 ยท 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 ยท 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 ...

Truveta

ML PhD Intern - LLMs & Generative AI

Seattle, WA ยท On-site

Participation in the internship program requires that you are physically present in the United ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...

Truveta

ML PhD Intern - LLMs & Generative AI

Seattle, WA ยท Remote

Participation in the internship program requires that you are physically present in the United ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...

Amazon

Software Engineer, EC2 Nitro

Seattle, WA ยท 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 ...

Nvidia

Senior Deep Learning Compiler Engineer - XLA

Redmond, WA ยท On-site

$117K - $160K/yr

... parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing ... Excellent C/C++ programming and software design skills, including debugging, performance analysis ...

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Parallel Programming Internship information

See Seattle, WA salary details

$10

$19

$27

How much do parallel programming internship jobs pay per hour?

As of Jul 29, 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.
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