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Parallel Programming Jobs in Toronto, ON (NOW HIRING)

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 ...

Semtech

Senior PCB Design Engineer

Burlington, ON · On-site

CA$105K - CA$125K/yr

Senior PCB Design Engineer Our Team: Semtech Corporation designs innovative semiconductor solutions ... A naturalability to interface in parallel with several cross-functional teams internally, while ...

Lakeview Loan Servicing

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 ...

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

Proficient in Python programming with a focus on writing high-quality, well-structured, and tested ... Solid experience with concurrent, parallel, and distributed computing techniques for efficient ...

THOMSON REUTERS

Lead Software Engineer, AI

Toronto, ON · On-site

... parallel. * Mentor and raise the technical bar for a senior engineering team, including how they ... Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ...

Altera

FPGA Compiler (Placer) Engineer

Toronto, ON

CA$129.10 - CA$187/hr

Altera is seeking a FPGA Compiler Engineer (Placer) to join our Compiler team in Toronto, Ontario ... Experience with parallel or distributed algorithms for EDA tools * Scripting experience (e.g ...

Waabi

Senior / Staff Software Engineer

Toronto, ON · On-site

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 ...

AECOM

Electrical Engineer - Airport

Mississauga, ON · On-site

... in parallel with the Utility. · Thorough working knowledge of airfield lighting, system safety ... and engineering to program and construction management. AECOM is a Fortune 500 firm that had ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/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 ...

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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 the most commonly searched types of Parallel Programming jobs in Toronto, ON?

The most popular types of Parallel Programming jobs in Toronto, ON are:

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 September 2026, with employment types broken down into 2% Internship, 80% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Software Engineer

Toronto, ON • Hybrid

Nasdaq
Finance and Insurance • 1 - 5K employees
Learn more about Nasdaqexternal

CA$121K - CA$170K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Design, develop, and deliver scalable software solutions that power real-time data platforms for global markets.

  • Build and optimize APIs and data processing pipelines for high-volume, distributed, and multi-tenant systems.

  • Collaborate closely with engineering teams across global locations to align on architecture and delivery.

Job description

As a Senior Software Engineer reporting to the Sr. Director of Software Development, you'll play a critical role in building the next generation of market data streaming products that empower clients around the world to meet their data and trading needs.
You'll thrive in this position if you're a curious, independent thinker who is energized by complex technical challenges, collaborative by nature, and passionate about delivering high-quality software solutions at scale in a fast-paced, high-impact environment.
Key Responsibilities
  • Design, develop, and deliver scalable software solutions that power real-time data platforms for global markets.
  • Build and optimize APIs and data processing pipelines for high-volume, distributed, and multi-tenant systems.
  • Collaborate closely with engineering teams across Bangalore, Toronto, and other global locations to align on architecture and delivery.
  • Contribute to platform strategy by defining technical specifications and participating in early-stage product and platform decisions.
  • Stay ahead of technology trends and bring innovative thinking to the design and evolution of data streaming products.
Required Qualifications
  • Bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience.
  • 10+ years of professional software engineering experience with a strong focus on Core Java.
  • Proven experience with cloud-native architectures, containerized applications, and distributed systems.
  • Demonstrated ability to build and deploy production-grade systems using microservices and container orchestration platforms.
  • Strong problem-solving and communication skills, with the ability to translate business requirements into technical solutions.
Preferred Qualifications
  • Hands-on experience with stream processing and event-driven technologies such as Apache Kafka or similar platforms.
  • Familiarity with parallel computing or stream processingframeworks.
  • Experience working in high-volume, low-latency, and highly available system environments.

This position will be located in Toronto, Canada, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

The base pay range for this role is $121,000 - $170,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

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