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About the Role
Join the cross-functional Data Analysis team to develop optimisation and forecasting models that improve the movement of wafer lots through fabrication partners. Reduce cycle times, anticipate delivery milestones, and adapt lot priorities as fab conditions change. Your work will help answer key operational questions and shape how data science is applied across Xanadu.
Responsibilities
- Own wafer-lot optimisation and forecasting models, defining objectives, constraints, trade-offs, and success criteria with engineering stakeholders.
- Forecast lot milestones and completion dates, quantifying uncertainty as fab conditions change.
- Optimise lot releases, priorities, and resource allocation under queue, hold, route, and capacity constraints.
- Analyse operational and metrology data; use historical data and simulation to identify bottlenecks, validate models, and compare strategies against current practice.
- Develop Python-based prototypes, documenting models and validation results for engineering handover.
- Communicate actionable recommendations and limitations, measure operational impact, and refine models with stakeholder feedback.
- Scope unfamiliar problems and adapt methods as evidence and priorities evolve.
Requirements
- MSc/PhD, or BSc with equivalent industry experience, in a quantitative discipline.
- 3+ years applying data science to scientific, engineering, or operational problems, with substantial experience in optimisation and forecasting.
- Experience independently leading ambiguous modelling problems from formulation through validation to decisions informed by the results.
- Strong statistical inference and predictive modelling skills, including uncertainty quantification, diagnostics, and validation.
- Experience working with unstructured and incomplete data.
- Ability to formulate constrained optimisation problems, select methods, and assess feasibility, sensitivity, and practical value.
- Experience validating forecasts under changing conditions and incomplete observations while avoiding data leakage.
- Proficiency in Python and reproducible model development, including version control, documentation, and testing; experience preparing datasets from multiple sources, including event histories.
- Ability to collaborate across disciplines, communicate recommendations and limitations, and prioritise work by impact.
- Experience transferring modelling methods across domains and learning unfamiliar subject matter.
- Experience with mathematical or constraint programming, scheduling heuristics, stochastic or robust optimisation, or multi-objective optimisation.
- Experience with manufacturing scheduling, capacity planning, supply-chain optimisation, discrete-event simulation, or queueing models.
- Experience with time-to-event forecasting, including survival analysis.
- Familiarity with semiconductor fabrication, photonics, process integration, or metrology, including using process data to guide wafer disposition.
- Experience evaluating models with engineers and defining requirements for implementation.
Skills
- Optimisation
- Forecasting
- Statistics
- Predictive modelling
- Python
- Version control
- Documentation
- Testing
- Data preparation
- Mathematical programming
- Constraint programming
- Scheduling heuristics
- Stochastic optimisation
- Robust optimisation
- Multi-objective optimisation
- Manufacturing scheduling
- Capacity planning
- Supply-chain optimisation
- Discrete-event simulation
- Queueing models
- Time-to-event forecasting
- Survival analysis
- Semiconductor fabrication
- Photonics
- Process integration
- Metrology
Experience Level
- 3+ years
Education Level
- MSc/PhD
- BSc with equivalent industry experience
Salary/Compensations
- 150,000 - 200,000 CAD
Benefits
- Equity
- Benefits
About the Company
- Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.
- We are learners, innovators, researchers, collaborators and problem solvers.
- We are creating something that has never been built before.
- We are successful, the technologies we develop will solve some of the world’s most challenging problems, and literally change the world.
Equal Opportunity
- We are an equal opportunity employer and encourage candidates of all backgrounds to apply.
- We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard.
- We are committed to meeting the needs of all individuals and support a barrier-free workplace.
- Should you require accommodations at any point during the recruitment process please contact Recruiting at recruiting@xanadu.ai.
- Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.