Manager, Solver Infrastructure

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead, mentor, and develop a team of engineers.

• Foster an environment characterized by strong technical execution, collaboration, and ongoing development.

• Establish clear expectations while providing constructive feedback and coaching.

• Assist team members in enhancing their performance and advancing their career paths.

• Deliver hands-on technical leadership in areas such as solver integration, architecture, performance, scalability, and production reliability.

• Advance the mathematical optimization platform, which includes solver interfaces, distributed execution, deployment, monitoring, and diagnostics.

• Propel solve acceleration through the utilization of GPU computing, advanced solver technologies, enhanced hardware utilization, and AI/ML methodologies.

• Enhance reliability, observability, and operational readiness of optimization workloads in cloud environments.

• Collaborate with Operations Research, Product, Architecture, Cloud Services, and technology partners to transform innovative concepts into production.

⛳️ Requirements

• A minimum of 5 years of experience in software engineering, platform engineering, or applied optimization.

• At least 2 years of experience in a leadership role.

• Strong technical expertise in Operations Research, software engineering, optimization systems, or related computational technologies.

• Familiarity with mathematical optimization and commercial solvers such as Gurobi, CPLEX, or Xpress.

• Solid software engineering fundamentals, preferably with experience in C++ and/or Python.

• Experience in constructing or managing cloud-based and distributed systems, including Kubernetes and containers.

• Capability to investigate complex performance and reliability issues across software and infrastructure.

• Excellent communication and collaboration skills.

• A Bachelor's or Master's degree in Computer Science, Operations Research, Industrial Engineering, Engineering, Applied Mathematics, or a related field.

• Familiarity with GPU computing or GPU-accelerated optimization is considered a plus.

• Experience with Gurobi Compute Server or similar distributed solver infrastructure is advantageous.

• Application of AI/ML in optimization, solver acceleration, tuning, or explainability is beneficial.

• Experience in high-performance computing or distributed optimization is a plus.

• Knowledge of supply chain planning and large-scale enterprise optimization would be advantageous.

🏝️ Benefits

• Flexible vacation and Kinaxis Days (company-wide days off).

• Flexible work arrangements.

• Programs promoting physical and mental well-being.

• Regularly scheduled virtual fitness classes.

• Mentorship programs, training, and opportunities for career development.

• Recognition programs and referral incentives.

• Participation in hackathons.