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Parallel Programming Internship Jobs (NOW HIRING)

Parallel Systems

Mechanical Engineer

Los Angeles, CA

$125K - $150K/yr

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform ... Experience designing and manufacturing real mechanical hardware through internships, student teams ...

Parallel Systems

Mechanical Engineer

Los Angeles, CA · On-site

$125K - $150K/yr

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform ... Experience designing and manufacturing real mechanical hardware through internships, student teams ...

Nvidia

OR · Hybrid

$100.40K - $136.40K/yr

Providing technical leadership and guidance to library engineers, QA engineers, and interns working ... C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads * Strong ...

Nvidia

OR

Experience with low-level parallel programming (e.g., CUDA). * Deep understanding of CPU/GPU ... Prior internship experience in a related field. * Experience with inference optimization techniques ...

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How much do parallel programming internship jobs pay per hour?

As of May 29, 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 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 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 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.

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Parallel Programming Internship jobs near you
Infographic showing various Parallel Programming Internship job openings in the United States as of May 2026, with employment types broken down into 13% As Needed, 61% Full Time, 13% Part Time, and 13% Nights. Highlights an 29% Physical, 21% Hybrid, and 50% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.

Software Intern - AI Compilers

Tenstorrent University Jobs

Austin, TX • Hybrid

$50 - $70/hr

Other

Posted 11 days ago

Job description

At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.  

This role is hybrid based in Austin, TX

Responsibilities:

  • Develop machine learning graph compiler 
  • Participate in the co-design of Tenstorrent's hardware and software stack 
  • Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack 
  • Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler 
  • Develop high-performance run-time engine 
  • Integrate the Tenstorrent software into leading machine learning frameworks 
  • Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications 
  • Develop novel ML models and primitives that take advantage of Tenstorrent's breakthrough architecture to deliver orders of magnitude performance & efficiency improvements 

Experience & Qualifications:

  • Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
  • Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well 
  • Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus 
  • Strong problem solving and analytical skills
 

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Apply