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Parallel Programming Jobs in Toronto, ON (NOW HIRING)

Design Engineer

Toronto, ON · Remote

CA$140K - CA$180K/yr

In parallel, this individual will help create the foundation for AI-enabled product capabilities by ... Partner with Engineering, Data, and domain teams to connect interfaces to real services, data ...

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 ...

Backend Engineer

Toronto, ON · Remote

CA$140K - CA$240K/yr

In parallel, this individual will help enable downstream product capabilities, operational ... Experience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin ...

The Data Engineer will design and implement robust, automated data pipelines in SQL and Python ... Exposure to Dask or other distributed/parallel computing frameworks in Python is beneficial.

... parallel. Be a part of a team that delivers Industry leading IP and help our experts in RTL, FW ... Digital design engineering experience * Excellent knowledge of Verilog, System Verilog, C and a ...

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code ... with concurrent, parallel, and distributed computing techniques for efficient computation ...

Bonus/nice to have: - Experience programming in C++ for a real world robotic system. - Comfortable ... parallel computing environments, emulation at scale, software performance, optimization, and ...

... parallel initiatives. * Perform various types of testing including Functional testing ... Competent building test suites in modern programming languages ((Java or Node.js/TypeScript)

Title and Summary Senior AI Engineer Overview We are looking for a talented Senior AI Engineer to ... Thorough understanding of PySpark with a conceptual understanding of parallel and distributed ...

Data Engineer

Toronto, ON · Remote

CA$140K - CA$240K/yr

In parallel, this individual will help enable downstream analytics, reporting, product capabilities ... Experience with modern programming languages commonly used in data engineering, such as Python ...

Staff Software Engineer** to set the technical strategy for the Modeling Platform team, which owns ... parallel execution at enterprise scale * Own technical decisions with organization-wide impact ...

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Showing results 1-20

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 May 31, 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 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 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 job makes $10,000 a month without a degree?

In the field of parallel programming, highly skilled software developers or engineers working on complex systems can earn $10,000 or more per month, especially with expertise in high-demand areas like GPU programming, distributed systems, or specialized frameworks. These roles often require strong coding skills, experience with parallel algorithms, and proficiency in tools such as CUDA or OpenCL, but may not always require a formal degree if demonstrated through a strong portfolio or certifications.
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:
Infographic showing various Parallel Programming job openings in Toronto, ON as of May 2026, with employment types broken down into 54% Full Time, 32% Part Time, and 14% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $105,124 per year, or $50.5 per hour.

Lead .NET Developer - Grid Computing & Datasynapse

Cogency

Toronto, ON • Hybrid

Other

Posted 11 days ago


Job description

Role: Lead .NET Developer – Grid Computing & Enterprise Systems


Company: Cogency Inc.


Location: Toronto, ON, Canada Hybrid (3 days in-office)


Employment Type: Permanent - Full-Time


About Cogency Inc.

Cogency Inc. is a Toronto-based consulting and technology solutions provider delivering high-quality IT and business consulting services to enterprise clients across banking, financial services, healthcare, and telecommunications. We build and staff high-performance teams that solve complex technical challenges for some of Canada's leading organizations.


The Role

We are looking for a Lead .NET Developer with deep expertise in distributed grid computing and enterprise application architecture to join our growing delivery team in Toronto. As the technical lead, you will own the architecture and hands-on development of mission-critical systems — guiding a team of developers while remaining deeply involved in design and code. You will work across a specialized .NET stack including Datasynapse Grid Engine, WPF, WCF, and heavily optimized SQL Server data layers.


This role is for someone who is equally comfortable whiteboarding architecture with stakeholders and rolling up their sleeves to solve the hardest technical problems on the team.


What You'll Do

  • Lead end-to-end design and development of enterprise applications using Advanced C# and .NET, setting architectural direction and coding standards for the team
  • Architect and implement Datasynapse / Grid Computing solutions for distributed workload management, parallel job scheduling, and high-performance compute orchestration
  • Own the design and delivery of WPF desktop applications — MVVM patterns, custom controls, animation, and UI performance at scale
  • Design and govern WCF service contracts, bindings, and security configurations across distributed enterprise systems
  • Define and enforce Entity Framework best practices — query optimization, context lifetime management, migration strategy, and performance profiling under production load
  • Lead SQL Server performance tuning efforts — execution plan analysis, index strategy, stored procedure design, and schema governance
  • Conduct architecture reviews and hands-on code reviews; establish and enforce engineering standards across the team
  • Act as the primary technical point of contact for stakeholders, translating business requirements into actionable technical designs
  • Mentor and develop intermediate and senior developers; drive a culture of quality and continuous improvement
  • Contribute to roadmap planning, sprint estimation, and delivery risk identification in Agile/Scrum environments


What You Bring

  • 10+ years of progressive .NET development experience with expert-level C# and deep knowledge of the .NET ecosystem
  • Demonstrated experience leading a development team — owning technical decisions, conducting code reviews, and mentoring developers
  • Hands-on experience with Datasynapse GridServer or equivalent enterprise grid/distributed computing platforms
  • Advanced WPF expertise including MVVM architecture, custom control development, and performance optimization for data-intensive UIs
  • Strong command of WCF service design across multiple transport bindings, security models, and enterprise integration patterns
  • Deep Entity Framework experience (EF6 / EF Core) including advanced query tuning, bulk operations, and production performance optimization
  • Expert-level SQL Server skills: complex query design, execution plan analysis, indexing strategies, partitioning, and stored procedure development
  • Proven ability to own architecture decisions and communicate technical trade-offs clearly to both technical and non-technical stakeholders
  • Experience delivering in Agile/Scrum environments with accountability for team output


Nice to Have

  • Background in financial services, capital markets, or banking systems
  • Experience with Azure DevOps or CI/CD pipeline configuration
  • Familiarity with messaging systems (MSMQ, RabbitMQ, or Azure Service Bus)
  • Knowledge of REST API design and integration patterns


What We Offer

  • Competitive compensation reflective of a lead-level role
  • Hybrid model — 3 days in our Toronto office, 2 days remote
  • High-impact work on complex, enterprise-scale systems
  • A senior-caliber team that values technical depth and delivery excellence