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Parallel Programming Internship Jobs in Stanford, CA

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 ...

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 ...

Parallel Web Systems Inc

Marketing Associate

San Francisco, CA · On-site

$80K - $120K/yr

  • Retirement

  • PTO

We're currently valued at $2 billion and we're forming a world-class team of engineers, designers ... internships. Life at Parallel Our team works fully in-person , between our Palo Alto HQ and San ...

Verkada

Global Sourcing Specialist

San Mateo, CA · Hybrid

  • Medical

  • Dental

  • Vision

Many work streams are done in parallel across all teams to ensure high quality products are brought ... Engineering * Internship experience delivering results on challenging hardware operations ...

Etched

Infrastructure Intern

San Jose, CA · On-site

... parallel CI executions, Infrastructure-as-code, scale-out observability platform with LLM ... engineers love using. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns.

Etched

Infrastructure Intern

San Jose, CA · On-site

... parallel CI executions, Infrastructure-as-code, scale-out observability platform with LLM ... engineers love using. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns.

NXP Semiconductors N.V.

Digital Design Engineer

San Jose, CA · On-site

$166K - $228K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... internship or related occupation involving: 1. Programming in C/C++ or Python; 2. Verilog; 3. ... 9. Parallel Computer Architecture. Salary: $156853 per year. The base salary range for this ...

NXP Semiconductors

Digital Design Engineer

San Jose, CA · On-site

$156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... internship or related occupation involving: 1. Programming in C/C++ or Python; 2. Verilog; 3. ... 9. Parallel Computer Architecture. Salary: $156853 per year. The base salary range for this ...

Verkada

Global Sourcing Specialist

San Mateo, CA · On-site

$45/hr

  • Medical

  • Dental

  • Vision

Many work streams are done in parallel across all teams to ensure high quality products are brought ... Engineering * Internship experience delivering results on challenging hardware operations ...

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All JobsParallel Programming JobsParallel Programming Internship JobsParallel Programming Internship Jobs in Stanford, CA

Parallel Programming Internship information

See Stanford, CA salary details

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How much do parallel programming internship jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for parallel programming internship in Stanford, CA is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.60 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.

What job categories do people searching Parallel Programming Internship jobs in Stanford, CA look for?

The top searched job categories for Parallel Programming Internship jobs in Stanford, CA are:

What cities near Stanford, CA are hiring for Parallel Programming Internship jobs?

Cities near Stanford, CA with the most Parallel Programming Internship job openings:

Parallel Programming Internship jobs near you

Systems Research Engineer Intern - GPU Programming (Fall 2026)

Together AI

San Francisco, CA • On-site

$58 - $63/hr

Internship

Re-posted 6 days ago

Job description

About The Role
As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.
Responsibilities
  • Optimize and fine-tune GPU code to achieve better performance and scalability
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies
Requirements
  • Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
  • Knowledge of ML/AI applications and models
  • Knowledge of performance profiling and optimization tools for GPU programming
  • Excellent problem-solving and analytical skills
Internship Program Details
Our fall internship program spans over 12 to 16 weeks where you'll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama.
Compensation
We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy

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