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Software Engineer - Research Data Platforms (Hybrid)

Xanadu

Toronto

Hybrid

CAD 80,000 - 120,000

Full time

21 days ago

Job summary

A leading company in photonics research is seeking a Software Engineer to support the development of their groundbreaking quantum computing platform. The ideal candidate will have a strong background in data-centric application development using Python and cloud technologies. You will collaborate closely with hardware engineers and contribute to innovative software solutions that drive the future of computation.

Qualifications

  • Minimum 4 years of experience in software development.
  • Expertise in data-centric applications and systems.
  • Strong background in relational and NoSQL databases.

Responsibilities

  • Design, build, deploy, and maintain software tooling.
  • Architect and implement efficient data processing pipelines.
  • Collaborate with hardware engineers to streamline development.

Skills

Python
SQL
Data management
Collaboration
Problem-Solving

Education

BSc in Computer Science, Engineering, Physics, Math

Tools

AWS
Postgres
Docker
Terraform

Job description

Software Engineer - Research Data Platforms (Hybrid)

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. What we are doing is extremely hard, the classic moon shot. 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!

Your role and responsibilities

You will be a core contributor to the platform and infrastructure supporting our cutting-edge photonics research. You will work on a team to support Hardware R&D, Hardware Operations, Cloud Infrastructure, and Developer Enablement. The Tools Team’s primary goal is to help accelerate the Hardware Team’s timelines to build the first commercially viable quantum computer. We are reshaping the nature of computation, and your work will directly impact this moonshot endeavor.

  • Develop and Maintain Software Tooling: Design, build, deploy, and maintain robust software for data management, internal tools, and communication systems that streamline hardware development and operations
  • Data Pipeline & Serving Layer Design: Architect and implement efficient data processing pipelines and serving layers, primarily interacting with standard relational and NoSQL databases
  • Collaboration with Hardware Engineers: Work closely with hardware experts to design and implement bespoke solutions for photonics chip designers research and development, including data processing and analysis
  • High-Quality Code & DevOps: Ensure production-ready code through automated testing, rigorous code reviews, and contribute to CI/CD pipelines (GitHub Actions)

We primarily utilize Python, Rust, Postgres, Docker, Terraform, CI pipelines, and AWS. Proficiency in these technologies is essential.

Basic qualifications and experience:

  • Education: BSc in Computer Science, Engineering, Physics, Math, or a related technical field
  • Experience: Minimum 4 years of proven experience in software development, with a strong focus on data-centric applications and systems
  • Core Skills: Expertise in Python, SQL, and designing/implementing data transformation and loading processes
  • Database Proficiency: Strong understanding of data modeling concepts and hands-on experience with relational and NoSQL databases
  • Cloud Exposure: Experience with major cloud providers (AWS, GCP, or Azure) and deploying/managing data infrastructure in cloud environments
  • Problem-Solver: Self-driven to deliver high-quality solutions in a fast-paced, research-driven environment
  • Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams

Preferred qualifications and experience:

  • Experience with AWS cloud services
  • Experience with multiple distinct data storage technologies
  • DevOps experience beyond basic CI/CD
  • Experience with data visualization tools and libraries (e.g., Matplotlib, Plotly, or building custom visualization components)
  • Understanding of optimizing data processing and database queries for performance on single-machine, parallel execution environments

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here .

At Xanadu, 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 .

Note: Xanadu will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@xanadu.ai .

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