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Internship High Performance Computing Engineer Jobs in Halton, ON

Waabi

Research Engineer, Calibration

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Calibration, you will create the next ... to high-performance computing, image processing, computer graphics, computer vision, machine ...

Q-Block Computing

Junior Quantum Engineer

Ottawa, ON · On-site

... quantum computing platforms engineered for the performance, reliability, and environmental ... Hands-on laboratory or engineering experience, including coursework projects, co-op or internship ...

Amd

System Design Engineer

Markham, ON · On-site

As an Advanced GPU HW Hardware Development Lab Engineer, you will be chiefly responsible for ... While working with cutting edge HPC (high performance computing) technologies, you will be part of ...

Sitero LLC

Principal Software Engineer

Markham, ON · On-site

Experience working with large-scale data systems, high-performance computing, or cloud-native architectures Preferred Qualifications * Master's or PhD in Computer Science, Engineering, AI, or related ...

Shotover Systems

Electrical Designer/Engineer

Hamilton, ON · On-site

$80K - $120K/yr

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 ...

Amd

Performance/Power Modeling Architect

Thornhill, ON · Hybrid

Are you passionate about pushing the boundaries of power efficiency and high-frequency computing ... Desirable candidates have an MS/PhD degree in Electrical Engineering LOCATION: Austin, TX, Santa ...

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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 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:
Internship High Performance Computing Engineer jobs near you

Research Engineer, Calibration

Waabi

Toronto, ON • On-site, Remote

CA$158K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 22 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Research Engineer in Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.

You will...

- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).

- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.

- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.

- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.

Qualifications:

- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.

- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.

- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.

- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.

Bonus:

- Experience with building and managing complex data pipelines.

- Experience working on real-time state estimation integrity monitoring.

- Solid knowledge in performance profiling and optimization.

- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.

- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.


Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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