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Parallel Programming Jobs in Toronto, ON (NOW HIRING)

Conavi Medical

Software Developer

Toronto, ON · On-site

Knowledge of multi-threaded design principles and parallel programming * Experience delivering production quality software applications running on the Windows operating system * Strong user ...

Conavi

Software Developer

Toronto, ON

Knowledge of multi-threaded design principles and parallel programming * Experience delivering production quality software applications running on the Windows operating system * Strong user ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

... parallel programming techniques. * Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

... parallel programming techniques. * Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a ...

McKesson

Business Analyst

Mississauga, ON · On-site +1

... parallel programming techniques. * Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a ...

McKesson

Business Analyst

Mississauga, ON · On-site +1

... parallel programming techniques. * Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a ...

Alquemy

Senior .NET Developer

Toronto, ON

Implement advanced parallel and asynchronous programming patterns (TPL, Multi-threading) to process massive streams of real-time market data and execute complex pricing simulations Ensure Resilience:

I-cube Software Llc

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

Demonstrated work experience in the following with Big Data and distributed programming models and ... Active development of ETL processes using Spark or other highly parallel technologies, and ...

Semtech

Staff Failure Analysis Engineer

Burlington, ON

CA$88K - CA$110K/yr

... parallel lapping, mechanical cross-sectioning and polishing. * Proficient in bench testing and ... Additional experience in the following engineering disciplines: Product Quality and Reliability ...

Lakeview Loan Servicing

Infrastructure Engineer

Toronto, ON · Remote

CA$140K - CA$240K/yr

In parallel, this individual will help create the foundation for AI-enabled product capabilities by ensuring the underlying systems are dependable, observable, secure, and easy for engineers to use.

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Parallel Programming information

See Toronto, ON salary details

$22.4K

$105.1K

$143.2K

How much do parallel programming jobs pay per year?

As of Jun 20, 2026, the average yearly pay for parallel programming in Toronto, ON is $105,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,550.00 and $133,607.00 per year, depending on experience, location, and employer.

What is a Parallel Programming job?

A Parallel Programming job involves developing software that can execute multiple tasks or computations simultaneously to improve performance and efficiency. Professionals in this field work with multi-core processors, distributed systems, and GPU computing to optimize software for speed and scalability. They typically use programming models like MPI, OpenMP, or CUDA to implement parallelism. Industries such as high-performance computing, data science, and machine learning heavily rely on parallel programming to handle large-scale computations.

What are some typical challenges encountered in a Parallel Programming role?

Professionals in parallel programming often face challenges such as identifying code sections that can be effectively parallelized, managing data dependencies, and handling synchronization between parallel tasks. Debugging and optimizing performance in multi-threaded or distributed environments can also be complex, requiring patience and attention to detail. Collaboration with data scientists, hardware engineers, and other software developers is common, as projects frequently involve cross-functional teamwork. Overcoming these challenges is a rewarding part of the job, leading to faster, more efficient software solutions that can have a significant impact in fields like scientific computing, finance, and machine learning.

What are the key skills and qualifications needed to thrive in the Parallel Programming position, and why are they important?

To excel in Parallel Programming, you need a solid background in computer science, strong proficiency in languages such as C/C++, Python, or Java, and experience with parallel computing frameworks. Familiarity with tools like OpenMP, MPI, CUDA, or parallel processing libraries, as well as relevant certifications or coursework, is highly valuable. Analytical thinking, collaboration, and effective problem-solving are essential soft skills for success in this role. These competencies enable professionals to efficiently develop, debug, and optimize scalable applications in high-performance computing environments.

What are popular job titles related to Parallel Programming jobs in Toronto, ON? For Parallel Programming jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Parallel Programming jobs in Toronto, ON look for? The top searched job categories for Parallel Programming jobs in Toronto, ON are:
Parallel Programming jobs near you
Infographic showing various Parallel Programming job openings in Toronto, ON as of June 2026, with employment types broken down into 57% Full Time, 35% Part Time, and 8% Contract. Highlights an 75% Physical, 8% Hybrid, and 17% Remote job distribution, with an average salary of $105,124 per year, or $50.5 per hour.

Senior Software Developer - Numerical

Seequent

Toronto, ON

Other

Posted 10 days ago

Job description

The Role

Reporting to the Director, Software Development (or delegate), we are seeking an experienced Senior Software Developer - Numerical to join our geoscience software development team. This role is based in Toronto, ON, operating under a hybrid work model.

This position focuses on transforming early-stage research prototypes into high-quality, production-ready numerical software. You will design, implement, and optimize high-performance numerical libraries and compute kernels using C++, Python, and CUDA, ensuring scalability, robustness, and performance.

Working closely with researchers and domain experts, this role bridges scientific research and software engineering, requiring strong numerical expertise, performance-focused thinking, and effective cross-functional collaboration.

In this role, you will have the opportunity to

Numerical Software Development

  • Develop and optimize high-performance numerical software in C++, Python, and CUDA.
  • Re-engineer research prototypes into scalable, production-ready solutions.
  • Implement parallel programming techniques including multi-threading, vectorization, and GPU acceleration.
  • Ensure solutions are portable across Linux (primary) and Windows environments.

Performance & Quality

  • Profile, benchmark, and optimize numerical workflows using tools such as Nsight and VTune.
  • Improve runtime efficiency, memory usage, and algorithmic scalability.
  • Design automated testing and verification frameworks to ensure numerical correctness and reliability.

Collaboration & Engineering Excellence

  • Work closely with researchers, engineers, and product teams to translate research concepts into stable implementations.
  • Participate in design reviews, technical planning, and peer code reviews.
  • Produce clear technical documentation and apply modern engineering practices, including CI/CD (GitHub Actions) and version control.

Essential Knowledge, Skills, and Experience

  • Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related STEM field.
  • 7+ years of experience in software development or engineering roles.
  • Strong experience in numerical computing with C++ and Python.
  • Hands-on experience with CUDA, GPU programming, and parallel computing.
  • Knowledge of numerical libraries such as Eigen or BLAS.
  • Experience developing on Linux and supporting cross-platform environments.
  • Familiarity with performance profiling tools and CI/CD pipelines.

Assets

  • Experience with OpenMP, Rust, Fortran, cloud computing (GCP), containerization, or distributed systems.

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