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Internship High Performance Computing Engineer Jobs in Toronto, ON

... computing, networking, and edge applications. Our compiler and tools teams are at the core of ... Ability to analyze complex systems and develop scalable, high-performance solutions. Education:

... high-quality websites. If you're ready to make a difference in a startup environment, we'd love to ... Optimize website speed, SEO elements, and performance to improve search engine rankings and user ...

... generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems ... supporting high-performance subsystems such as security policy management, cryptography, data ...

... including programming client needs, conceptual design, schematic design, design development and ... control centers, high-performance computing, etc.) healthcare projects, or similarly complex ...

You'll work on exciting challenges related to high-volume transactions, performance, analytics and ... Familiarity with Systems architecture, Distributed computing architecture, BigData systems ...

... high-growth environment. While demanding, it promises to be a rewarding complement to your academic ... Ensure the security, performance, and scalability of the entire web application, focusing on both ...

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Internship High Performance Computing Engineer information

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What are the most commonly searched types of High Performance Computing Engineer jobs in Toronto, ON? The most popular types of High Performance Computing Engineer jobs in Toronto, ON are:
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Other

Posted 21 days ago


Job description

Join Tenstorrent's Systems Engineering team to help shape the mechanical side of high-performance AI systems. As a PEY/Intern, you'll work hands-on with real hardware-designing, testing, and improving the physical systems that power our chips. You'll be part of a team that values curiosity, precision, and creative problem-solving.
 
This role is onsite, based in Toronto, ON.
 
 
Who You Are
  • Enrolled in a Mechanical Engineering or related program (PEY/internship term).
  • Comfortable using MCAD tools and standard mechanical lab equipment.
  • Organized, hands-on, and ready to learn fast in a lab environment.
  • Communicates clearly and pays attention to the details that matter.
 
What We Need
  • School experience with MCAD software.
  • School experience using standard mechanical lab equipment.
  • Exposure to thermal or fluid modeling software is an asset.
  • Excellent verbal and written communication skills.
  • Strong attention to detail and organization skills.

What You Will Learn

  • How mechanical design integrates into real-world AI hardware systems.
  • Testing techniques for thermal, acoustic, and structural performance.
  • Collaboration across electrical, mechanical, and validation teams.
  • Best practices in documentation, lab workflows, and system bring-up.

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