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Parallel Computing Jobs in Ontario (NOW HIRING)

Waabi

Research Engineer, Calibration

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... parallel, and distributed computing techniques for efficient computation. - Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics ...

Conavi Medical

Software Developer

Toronto, ON · On-site

Knowledge of multi-threaded design principles and parallel programming * Experience delivering ... Experience with GPU-based computing using technologies like OpenGL, Vulkan, DirectX, OpenCL, or ...

Conavi

Software Developer

Toronto, ON

Knowledge of multi-threaded design principles and parallel programming * Experience delivering ... Experience with GPU-based computing using technologies like OpenGL, Vulkan, DirectX, OpenCL, or ...

Amd

Principal AI/ML SW/HW Co-Design Lead

Thornhill, ON · On-site

... generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems ... Familiar with GPU/TPU/CPU SOC architectures including SIMD/SIMT/Parallel Processing models, Cache ...

Amd

RTL Design Engineer

Thornhill, ON · Hybrid

... generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems ... parallel. Be a part of a team that delivers Industry leading IP and help our experts in RTL, FW ...

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Parallel Computing information

See Ontario salary details

$23K

$111K

$193.5K

How much do parallel computing jobs pay per year?

As of May 31, 2026, the average yearly pay for parallel computing in Ontario is $111,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Parallel Computing Specialist, and why are they important?

To thrive as a Parallel Computing Specialist, you need strong knowledge of computer architecture, parallel algorithms, and experience with programming languages such as C/C++, Python, and frameworks like MPI or OpenMP, often supported by a degree in computer science or a related field. Familiarity with high-performance computing (HPC) environments, GPU programming (CUDA, OpenCL), and cloud-based parallel processing systems is typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills in this role. These skills are vital for efficiently designing, optimizing, and implementing solutions that leverage parallelism to significantly accelerate computational tasks.

What are some common challenges faced by professionals working in parallel computing roles?

Professionals in parallel computing often encounter challenges such as efficiently dividing complex tasks among multiple processors and minimizing communication overhead between them. Debugging and optimizing performance across parallel architectures can be difficult, as issues like race conditions and load imbalances frequently arise. Additionally, staying current with evolving hardware technologies and parallel programming frameworks is essential to ensure solutions remain efficient and scalable. Collaborating with cross-functional teams, such as data scientists and system architects, is also crucial for integrating parallel solutions into larger projects.

What is parallel computing?

Parallel computing is a type of computation where many calculations or processes are carried out simultaneously, leveraging multiple processors or computers to solve complex problems more efficiently. It divides large tasks into smaller ones that can be executed concurrently, significantly speeding up processing time. Commonly used in scientific research, data analysis, and engineering, parallel computing is essential for handling large-scale simulations and big data applications.

What is the difference between Parallel Computing vs Data Analyst?

AspectParallel ComputingData Analyst
Required CredentialsComputer Science or Engineering degree, programming skillsStatistics, Data Science, or related degree, analytical skills
Work EnvironmentResearch labs, tech companies, high-performance computing centersBusiness, finance, healthcare, corporate offices
Industry UsageTechnology, research, scientific computingBusiness intelligence, market analysis, reporting

While Parallel Computing focuses on developing algorithms to process large data sets efficiently across multiple processors, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills but serve different purposes: one enhances computational performance, the other informs business decisions.

What are popular job titles related to Parallel Computing jobs in Ontario? For Parallel Computing jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Parallel Computing jobs in Ontario look for? The top searched job categories for Parallel Computing jobs in Ontario are:
Parallel Computing jobs near you
Infographic showing various Parallel Computing job openings in Ontario as of May 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $111,031 per year, or $53.4 per hour.

Research Engineer, Calibration

Waabi

Toronto, ON • On-site, Remote

CA$158K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 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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