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Algorithmic Jobs in Ontario (NOW HIRING)

Understanding of digital signal processing principles or PID control algorithms. * Knowledge of Petalinux and its build environment. * Work closely with hardware/FPGA engineers to understand HW ...

We are seeking a highly motivated, quick-learning developer for our algorithmic software development team. In this role, you will be involved in the development of our cutting-edge, low-latency ...

We are seeking a highly motivated, quick-learning developer for our algorithmic software development team. In this role, you will be involved in the development of our cutting-edge, low-latency ...

This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in ...

As a Quantitative Trader, you'll play a key role in managing market risk and supporting algorithmic trading on a fast-paced dealing desk. This is a dynamic position ideal for someone with front ...

Develop algorithms and architectures for adaptive equalization, maximum likelihood sequence detection (MLSD), and timing recovery algorithms. * Integrate control theory and advanced DSP designs into ...

Data Scientist

Toronto, ON

CA$82K - CA$154K/yr

Data Analytics & Reporting This is a 12 month hybrid contract role in Toronto Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to ...

You will report to the team lead in AI Innovation, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our ...

We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a ...

Showing results 41-60

Algorithmic information

See Ontario salary details

$80K

$155.8K

$360.5K

How much do algorithmic jobs pay per year?

As of Aug 12, 2026, the average yearly pay for algorithmic in Ontario is $155,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $161,500.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientists, software engineers, machine learning engineers, and quantitative analysts. These positions involve designing, implementing, and optimizing algorithms to solve complex problems, often requiring programming skills in languages like Python, C++, or Java, and knowledge of data structures and mathematical concepts.

What is an algorithmic job?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

What are the key skills and qualifications needed to thrive as an algorithmic trader?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

What job categories do people searching Algorithmic jobs in Ontario look for? The top searched job categories for Algorithmic jobs in Ontario are:
What cities in Ontario are hiring for Algorithmic jobs? Cities in Ontario with the most Algorithmic job openings:
Infographic showing various Algorithmic job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $155,802 per year, or $74.9 per hour.

Software Developer, Operations Research

Kinaxis Inc.

Kanata, ON โ€ข On-site, Remote

Full-time

PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today's volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Ottawa and Toronto, Canada - HybridOther Canadian locations - Remote

About the team

Operations Research Software Developers at Kinaxis create algorithms to optimize supply chains. Each one of us plays an important part in accomplishing our work, building our culture, and making a global impact.

Every day, we are empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet - for each other, for our customers and for generations to come. Our cloud-based platform Maestro ensures that the products we need - everything from medicine and cars to day-to-day items like toothpaste - make it tomarket and into our hands when we need them with minimal ecological footprint. Our customers have terabytes of data that needs to be analyzed for the largest supply chains imaginable. Our algorithms move the global economy-- in seconds, not hours, or days. It's Big Data with an impact Gartner Report

Vacancy Status

This is an existing job vacancy

What you will do

Investigate novel techniques combining class leading heuristics with optimization Translate real world Supply Chain Management use cases into mathematical model Lead the design and implementation of the mathematical model Define test strategies and develop comprehensive test plans. Write unit testing, integration testing, and debugging to ensure robust and error-free software. Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools. Collaborate closely with your agile team members and other stakeholders Shape the future direction of Kinaxis as we move into new markets

Technologies we use

C++ for core development Commercial mathematical solvers Maestro's market leading in-memory data server technology Visual Studio, JIRA, Confluence, Git Sophisticated internal testing tools to validate correctness and performance Virtual and cloud infrastructure for development, support and testing

Core implementation is primarily in C++, but we value strong algorithmic thinkers who are proficient in one or more modern programming languages (e.g., C++, C#, Python) and willing to work across language boundaries

What we are looking for

MSc or PhD in Operations Research, Industrial Engineering, Computer Science (or related) 3+ years of software development experience, track record of delivering commercial software Working knowledge of C++, including object-oriented design and design patterns, unit testing A love of data structures and algorithms, and the desire to apply them in the real world Experience in creating mathematical models of real-world optimization problems. Experience in commercial solvers (Gurobi, Xpress, CPLEX) Ability to design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools. Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code- quality standards. Ability to review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation. Nice to have knowledge in machine learning models and algorithms Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)

#Intermediate, #LI-EM1

Work With Impact: Our platform directly helps companies power the world's supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we're committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

  • Flexible vacation and Kinaxis Days (company-wide days off)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs, training, and career development
  • Recognition programs and referral rewards
  • Hackathons

For more information, visit the Kinaxis website at www.kinaxis.com or the company's blog at http://blog.kinaxis.com.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

Employment Type: FULL_TIME