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Internship High Performance Computing Engineer Jobs in Halton, ON

... engineers located in different sites and time-zones. You have strong analytical and problem-solving ... Strong experience with computing software, including operating systems, hypervisors, compilers ...

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI ... The AMD NBIO Team is on the lookout for a seasoned Software Engineer to lead our AI and Automation ...

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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 engineer?

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 cities near Halton, ON are hiring for Internship High Performance Computing Engineer jobs?

Cities near Halton, ON with the most Internship High Performance Computing Engineer job openings:

Silicon Product and Test Engineer

Block

Toronto, ON

Full-time

Re-posted 9 days ago


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Job description

Proto is accelerating the world's transition to an open economy with products that increase access and independence for everyone. We're building Bitkey, a simple and safe self-custody bitcoin wallet that will put customers in control, as well as hardware and software that will help decentralize bitcoin mining and enable new and innovative use cases for bitcoin mining. We're developing these products in the open - you can read more about them at bitkey.build and mining.build. Within Proto, our Bitcoin Products team delivers the product and go-to-market strategy, software, firmware, and custom silicon needed to make Bitkey and our ambitious mining initiatives a reality. Come build the future of money with us!

The Role

We are looking for a Product & Test Engineer to drive post-silicon productization of our bitcoin mining ASICs from silicon bring-up through high-volume manufacturing. This role spans silicon characterization, yield optimization, test strategy development, correlation across multiple platforms, and system-level performance optimization.

This is a highly cross-functional role working across ASIC Design, ATE, Bench, Systems, Reliability, Foundry, and OSAT partners. The ideal candidate is hands-on, data-driven, comfortable operating in ambiguity, and excited about building and scaling complex hardware products in a fast-moving environment.

You Will
  • Drive post-silicon bring-up, characterization, qualification, and productization activities from first silicon through mass production.
  • Develop and optimize wafer sort (CP) and final test (FT) screening strategies to improve power, performance, yield, quality, and DPPM.
  • Develop, debug, and maintain ATE test programs and screening methodologies for advanced-node ASICs.
  • Define and execute characterization plans across process, voltage, and temperature (PVT) conditions.
  • Perform silicon data analysis across CP, FT, Bench, and System platforms to improve correlation and optimize system-level performance.
  • Drive DOE planning, execution, and analysis for silicon characterization, yield optimization, and process tuning.
  • Collaborate with system and hardware engineers to develop effective ASIC binning methodologies and system optimization strategies.
  • Define and support ATE hardware requirements including probe cards, sockets, and load boards.
  • Analyze wafer-level and package-level parametric and functional data to identify trends, root-cause failures, and drive corrective actions.
  • Engage with foundry, OSAT, and external vendors to support bring-up, qualification, yield improvement, and manufacturing execution.
  • Develop KPIs and dashboards to track power, performance, process variation, yield, and product quality metrics.
You Have
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • 5-10 years of experience in Product Engineering, Test Engineering, Silicon Validation, or Post-Silicon Engineering in fabless or semiconductor environments.
  • Strong understanding of semiconductor manufacturing flows including wafer sort (CP), final test (FT), qualification, and high-volume manufacturing.
  • Experience with silicon bring-up, characterization, yield analysis, and product qualification for advanced-node ASICs or SoCs.
  • Experience with ATE platforms such as Advantest 93K or Chroma.
  • Experience developing or debugging ATE test programs and production screening methodologies.
  • Strong statistical data analysis and debugging skills using tools such as JMP, Python, or similar analysis frameworks.
  • Experience with DOE planning, silicon correlation, and yield optimization methodologies.
  • Experience collaborating cross-functionally across Design, Systems, Firmware, Reliability, Manufacturing, Foundry, and OSAT teams.
  • Strong problem-solving skills with the ability to independently drive technical issues to closure.
  • Comfortable operating in ambiguous, fast-moving environments with a high degree of ownership.
Nice to Have
  • Experience with near-threshold operation or low-voltage optimization.
  • Experience with high-performance computing, AI, networking, or bitcoin mining ASICs.
  • Understanding of semiconductor device physics, SPICE fundamentals, and FinFET technologies.
  • Experience with system-level characterization and correlation across ATE, Bench, and deployed systems.
  • Experience with scripting or automation using Python, Perl, or TCL.
  • Verbal fluency in Mandarin is a plus.

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations throughout the recruitment process. If you require an accommodation, let your recruiter know. Want to learn more about what we're doing to build an inclusive workplace? Check out our Inclusion & Diversity page.


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