Manager, Solver Infrastructure

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 - Hybrid

Other Canadian locations - Remote

About The Role

Kinaxis is looking for a Manager, Solver Infrastructure to lead the team responsible for the technology and infrastructure behind large- scale mathematical optimization in Maestro.

This is a hands-on technical leadership role at the intersection of Operations Research, software engineering, cloud infrastructure, and high-performance computing. You will lead a team focused on making optimization faster, more scalable, and more reliable, while helping bring emerging solver and AI technologies into production.

Vacancy Status

This is an existing job vacancy

What you will do

• Lead, mentor, and grow a team of engineers, creating an environment of strong technical execution, collaboration, and continuous development.
• Set clear expectations, provide regular feedback and coaching, and support the performance and career development of team members.
• Provide hands-on technical leadership across solver integration, architecture, performance, scalability, and production reliability.
• Evolve the platform supporting mathematical optimization, including solver interfaces, distributed execution, deployment, monitoring, and diagnostics.
• Drive solve acceleration through GPU computing, advanced solver technologies, improved hardware utilization, and AI/ML approaches.
• Improve the reliability, observability, and operational readiness of optimization workloads across cloud environments.
• Collaborate closely with Operations Research, Product, Architecture, Cloud Services, and technology partners to turn new ideas into production capabilities.

What we are looking for

• 5+ years of experience in software engineering, platform engineering, or applied optimization, including 2+ years leading teams.
• Strong technical background in Operations Research, software engineering, optimization systems, or related computational technologies.
• Experience with mathematical optimization and commercial solvers such as Gurobi, CPLEX, or Xpress.
• Strong software engineering fundamentals, ideally with C++ and/or Python experience.
• Experience building or operating cloud-based and distributed systems, including technologies such as Kubernetes and containers.
• A strong problem-solving mindset and the ability to investigate complex performance and reliability challenges across software and infrastructure.
• Strong communication and collaboration skills, with the ability to make complex technical topics accessible to different audiences.
• Bachelor's or Master's degree in Computer Science, Operations Research, Industrial Engineering, Engineering, Applied Mathematics, o r a related field.
• Nice to have:
• Experience with GPU computing or GPU-accelerated optimization.
• Experience with Gurobi Compute Server or similar distributed solver infrastructure.
• Experience applying AI/ML to optimization, solver acceleration, tuning, or explainability.
• Experience with high-performance computing or distributed optimization.
• Knowledge of supply chain planning and large-scale enterprise optimization.

#Senior;

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 or the company’s blog at .

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 View email address on canada.jobradars.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.