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About the Role
As an AI Developer at Xanadu, you will integrate generative AI into R&D methodologies, contributing to internal tool stacks to advance the first commercially viable quantum computer. You will work at the intersection of multiple technical disciplines, collaborating with world-leading researchers, scientists, engineers, and software developers to super-charge research progress and reshape workflows by infusing cutting-edge AI into software tools.
Responsibilities
- Design, develop, and maintain our agentic AI research system for accelerating internal R&D.
- Build automated processes and pipelines for structuring unstructured documents and executing complex research tasks at scale.
- Collaborate closely with researchers – theorists, experimentalists, engineers – to craft creative solutions for complex challenges.
- Develop SDKs, APIs, and data visualizations that interface with internal users.
- Ensure high-quality production code through automated tests, CI/CD pipelines, and code review processes.
Requirements
- BSc in Computer Science, Engineering, Physics, Math, or a related field.
- 4+ years of SWE experience building AI/ML tools in a scientific/engineering research environment.
- 1+ years of experience in at least one of these areas: Agentic systems, LLM/RAG-based assistants, large-scale NN training and deployment.
- Proven background in building and deploying production systems on AWS.
- Strong knowledge of asynchronous, concurrent, and/or queueing system design.
- Experience with benchmarking LLM/Agentic workflows.
- Good understanding of ML/AI fundamentals.
- Knowledge of the full lifecycle of software development (version control, testing, CI/CD, logging, monitoring, etc.).
Skills
- GitHub
- Python
- Rust
- Postgres
- Docker
- Terraform
- AWS
- Agentic systems
- LLM/RAG-based assistants
- Large-scale NN training and deployment
- Asynchronous system design
- Concurrent system design
- Queueing system design
- Benchmarking LLM/Agentic workflows
- ML/AI fundamentals
- Software development lifecycle
- LangChain/LangGraph
- Claude
- ML-assisted data processing
- ML-assisted data labeling
- ML-assisted data distillation
- Physics
- Linear algebra
- Distributed computing
- Quantum computing
Location
- Remote
Work Type
- Full-time
Experience Level
- 4+ years of SWE experience
- 1+ years of experience in agentic systems, LLM/RAG-based assistants, or large-scale NN training and deployment
Education Level
- BSc in Computer Science, Engineering, Physics, Math, or a related field.
- MSc in Computer Science, Engineering, Physics, Math, or related field.
Salary/Compensations
- 140,000 - 190,000 CAD
Benefits
- Equity
- Benefits
About the Company
- Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.
- At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers.
- We are creating something that has never been built before.
- Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems, and literally change the world.
- And that is something to be excited about!
- Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here [https://www.xanadu.ai/values/].
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 [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.