1

Parallel Programming Jobs in Toronto, ON (NOW HIRING)

Altera is a leader in FPGA innovation, delivering programmable solutions that power AI, cloud ... Familiarity with parallel/distributed computing for EDA workloads * Experience with scripting ...

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 ...

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 ...

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 ...

New

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 ...

Identify key areas of architecture improvement and contribute to the team roadmap, breaking large engineering efforts into parallel-executable pieces. * Define and maintain unit test, integration ...

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 ...

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 ...

Apply DevOps practices to automate deployment of databases and ETL/ELT components * Knowledge of ... Highly organized and able to balance parallel tasks * Collaborate effectively with colleagues that ...

next page

Showing results 1-20

Parallel Programming information

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:
Infographic showing various Parallel Programming job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, 2% Contract, and 1% Summer. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.
FPGA Compiler (Router) Engineer

FPGA Compiler (Router) Engineer

Altera

Toronto, ON

CA$115/hr

Full-time

Posted 23 days ago


Job description

Job Details:Job Description:

Altera is a leader in FPGA innovation, delivering programmable solutions that power AI, cloud computing, networking, and edge applications. Our compiler and tools teams are at the core of enabling customers to efficiently map complex designs to cutting-edge FPGA architectures.


Position Overview

Altera is seeking aFPGA Compiler Engineer (Routing)to join our team! This role focuses on the development and optimization of FPGA routing algorithms within the compiler toolchain, directly impacting performance, power, and usability of next-generation FPGA devices.

The ideal candidate brings strong expertise in EDA algorithms, graph-based optimization, and FPGA/ASIC design flows, along with a passion for solving complex problems at scale.


Key Responsibilities

  • Routing Algorithm Development:
    Design, implement, and optimize FPGA routing algorithms to improve performance,routability, and timing closure.

  • Compiler Enhancement:
    Contribute to the FPGA compiler flow, including placement, routing, and timing-driven optimization.

  • Performance Optimization:
    Analyze and improve runtime, memory efficiency, and scalability of routing algorithms for large designs.

  • Cross-Functional Collaboration:
    Work closely with architecture, synthesis, timing (STA), and hardware teams to align routing strategies with device capabilities.

  • Debug & Analysis:
    Investigate routing congestion, timing violations, and design bottlenecks; develop solutions to improve convergence.

  • Toolchain Integration:
    Integrate routing features into existing compiler infrastructure and ensure robustness across diverse customer use cases.

Our compensation is designed to reflect the Canadianlabourmarket. The actual salary offered may vary based on several factors, including theposition'slocation, as well as the candidate's experience, skills, training, and job-specific knowledge. In addition to base salary, we offer performance-based incentive opportunities that reward both individual contributions and overall company success.

Estimated Salary Range: $110K- $115KCAD

We use artificial intelligence to screen, assess, or select applicants for the position.This posting is for an existing vacancy.Canadian work experience is notrequiredfor this role.Applicants must be eligible for any required Canada export authorizations.

Qualifications:

Experience:

  • 1+ years of experience in FPGA/ASIC design tools, EDA, or related fields.

Technical Expertise:

  • Strong background in algorithms and data structures (graph algorithms, optimization techniques)

  • Experience with FPGA or ASIC design flows (placement, routing, timing closure)

  • Proficiency inC/C++and software development best practices

EDA / CAD Knowledge:
Familiarity with:

  • Routing algorithms (e.g., maze routing, negotiated congestion)

  • Timing-driven design methodologies

  • Physical design concepts

Problem Solving:

  • Ability to analyze complex systems and develop scalable, high-performance solutions.

Education:

  • Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.

Strong communication, teamwork, and interpersonal skills are essential to effectively collaborate across cross-functional teams and drive successful outcomes.

Preferred Qualifications

  • Experience with commercial FPGA toolchains (e.g., Quartus,Vivado)

  • Knowledge of FPGA architectures and interconnect fabrics

  • Familiarity with parallel/distributed computing for EDA workloads

  • Experience with scripting (Python,Tcl) for tooling and automation

  • Background in timing analysis or placement algorithms

Job Type: RegularShift:Shift 1 (Canada)Primary Location:Toronto, Ontario, CanadaAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.