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Internship High Performance Computing Engineer Jobs in Toronto, ON

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI ... The Data Accelerator (DACC) team at AMD is seeking a Silicon Design Verification Engineer who will ...

Electrical Engineer - Optical & Embedded Systems Status: Full-time Location: Hamilton, ON CANADA ... high-performance computing. You will step into a role defined by technical ownership and end-to-end ...

The Role We are looking for a Product & Test Engineer to drive post-silicon productization of our ... Experience with high-performance computing, AI, networking, or bitcoin mining ASICs.

... 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 job categories do people searching Internship High Performance Computing Engineer jobs in Toronto, ON look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Toronto, ON are:

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

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

Design Verification Engineer

Amd

Thornhill, ON • Hybrid

Full-time

Re-posted 8 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers


Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward.

Responsibilities

THE ROLE: 

The Data Accelerator (DACC) team at AMD is seeking a Silicon Design Verification Engineer who will be involved in multiple aspects of IP verification. This role is an excellent opportunity to work on next generation technologies that are part of AMD's products powering Servers, Datacenters, Client and Embedded markets. You will join one of the fastest-growing areas of adding custom hardware offload engines to support complex operations like encryption, authentication, compression, GPU/CPU compute offloads & virtual machines live migration. This is a tremendous opportunity to get in early into the rapidly expanding domain of custom hardware accelerators. The Design Verification (DV) group within this team is responsible for developing a scalable DV flow and environment with emphasis on automation (using AI), power and performance verification (PPV) and emulation support. Our management fosters and encourages continuous technical innovation to showcase success as well as continuous career development.

THE PERSON:

Highly skilled in advanced ASIC Functional Verification techniques and planning. Eager to learn new designs and implementation techniques. Enjoys an environment where everyone in the team can grow and develop with a sense ofglobal team spirit. Strong analytical thinking and problem-solving skills, excellent attention to detail. 

KEY RESPONSIBILITIES:

  • Develop and maintain block level IP verification testbenches, test methodology and infrastructure
  • Develop detailed test plans for covering new features
  • Triage regressions, debug simulations, analyze coverage, work/resolve technical issues with design, verification and other teams to achieve verification closure
  • Deploy industry leading verification methodologies such as UVM, formal verification etc.
  • Take end to end ownership of key features for the projects
  • Reproduce silicon functional bugs in simulations and/or formal verification tools
  • Conduct and participate in code reviews

PREFERRED EXPERIENCE: 

  • Hands-on hardware verification experience
  • Proficient in Verilog, System Verilog, UVM and working in Linux and Windows environments
  • Familiarity with the hands-on use of AI agents and skills for functional verification
  • Excellent programming skills
  • Familiarity with Makefiles, scripting languages like perl, python, ruby etc.

ACADEMIC CREDENTIALS: 

  • Bachelors or Masters degree in Computer Engineering/Electrical Engineering 

LOCATION: Markham, ON

#LI-SL3

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Qualifications

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's "Responsible AI Policy" is available here.

 

This posting is for an existing vacancy.

Employment Type: FULL_TIME

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