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Parallel Programming Jobs in Toronto, ON (NOW HIRING)

Amd

NPU Diagnostics Software Engineer

Thornhill, ON

Experience with parallel programming * Experience with multi-threading programming ACADEMIC CREDENTIALS: Bachelor's, master's, or PhD in Computer Engineering, Electrical Engineering, Computer Science ...

New

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 ...

Tenstorrent

Software Engineer, TT-Distributed

Toronto, ON

CA$100K - CA$500K/yr

Design and build distributed APIs enabling data-parallel and tensor-parallel AI workloads. * Leverage MPI-based technologies and related frameworks to scale programming models across multiple hosts ...

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 ...

Lakeview Loan Servicing

Infrastructure Engineer

Toronto, ON · Remote

CA$140K - CA$190K/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.

Nasdaq

Senior Software Engineer

Toronto, ON · Hybrid

CA$121K - CA$170K/yr

As a Senior Software Engineer reporting to the Sr. Director of Software Development, you'll play a ... Familiarity with parallel computing or stream processingframeworks. * Experience working in high ...

SNC-Lavalin

Electrical Engineer

Toronto, ON · Hybrid

Overview The Engineering Services group provides mechanical and electrical design for all types of ... parallel with the Utility. * Thorough working knowledge of arc flash, system safety design ...

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Parallel Programming information

What is parallel programming?

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 parallel programming, 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 August 2026, with employment types broken down into 1% Internship, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution.

Senior Software Developer - Numerical

Seequent

Toronto, ON • On-site

Full-time

Re-posted 12 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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