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Software Development Manager - Quantum Software

Xanadu - Toronto, ON, Canada - In-office

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Salary: CAD 150,000 - 200,000 / annual

Xanadu is building quantum computers designed to be useful and accessible globally. The company is developing PennyLane, an open-source framework for quantum computing, quantum machine learning, and quantum chemistry. You will manage a team of 7–10 software developers building new features and improving the performance of the PennyLane framework. Your responsibilities include: • Lead and grow the PennyLane Core Quantum Software team, overseeing feature development and performance optimization. • Partner with Product Managers to define team direction and product roadmap. • Participate in cross-functional sprints, ensuring timely and efficient feature delivery. • Work closely with the product team to drive library adoption and maintain strong feedback loops with external stakeholders. • Design and refine processes to maximize developer efficiency, enforce software best practices, and enable consistent product delivery. • Maintain team responsiveness to bugs, issues, and open-source contributions from the community. • Own hiring, mentorship, career development, and performance management for your team. Xanadu describes itself as a mission-driven organization solving some of the world's most challenging problems through quantum technology. The role offers the opportunity to lead technical strategy on a foundational open-source project with a large user base. REQUIREMENTS: Basic qualifications: • Advanced degree in Physics, Mathematics, Computer Science, or a related field (strongly preferred). • 7+ years of software development experience. • 2+ years of management experience. • Ability to understand and apply complex mathematical concepts. • Comfortable working in a fast-paced environment. • Strong communication skills. Preferred qualifications: • Track record of building and shipping software to a large user base. • Expertise in quantum computing (demonstrated through in-field experience, extensive coursework, thesis, or peer-reviewed publications). • Experience designing and implementing domain-specific languages and compilers. • Open-source software development experience. • Familiarity with machine learning software fundamentals (e.g., JAX, PyTorch).

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