About Xanadu:

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!

Your Role and Responsibilities:

As a ML Developer at Xanadu, you will contribute to our internal ML tool stacks to support Hardware R&D which aims to build the first commercially viable quantum computer. The ML team’s focus is to build and improve the modeling, optimization, simulation, data processing, and design methodology for our internal research. Situated at the intersection of multiple technical disciplines, you will have the unique opportunity to work with world leading researchers, scientists, engineers, and software developers. By infusing cutting-edge ML into the software tools, you have the chance to super-charge their research progress and even reshape how they work. You will:

• Design and develop software features for our internal tooling software, data pipelines, and ML systems.
• Support and maintain existing ML software in production environments.
• Collaborate closely with hardware engineers and researchers to craft new ML-driven solutions for complex challenges.
• Enhance and scale up existing optimization and simulation algorithms.
• Design and build scalable and reproducible ML workloads.
• Develop SDKs, APIs, and data visualizations that interface with internal users.
• Ensure high-quality production code through automated tests and a dynamic code review process.
• Perform DevOps tasks, such as maintaining our CI/CD pipeline using GitHub Actions.

At Xanadu, we primarily work with Python, numpy/jax/torch/tensorflow, GitHub, Docker, CI pipelines, and multiple cloud platforms. Proficiency in these technologies is essential.

Basic qualifications and experience

• BSc in Computer Science, Engineering, Physics, Math, or a related field.
• 2+ years of experience building machine learning software stacks in a research environment that involve at least a subset of deep NN design/training/deployment, optimization, simulation, data ETL, signal processing, or control systems.
• Strong knowledge of Python and cloud computing.
• Hands-on experience with real-world data wrangling and visualization.
• Experience with profiling, debugging, and optimizing software.
• Familiar with working with multidimensional arrays in Numpy, PyTorch, Tensorflow, Jax, etc.
• Good and up-to-date understanding of ML concepts.
• Knowledge of the full lifecycle of software development, including version control, code review, testing, CI/CD, logging, profiling, debugging, and documentation.
• Adept at working with Linux shell, Git, and GitHub.
• Strong analytical and problem-solving skills.
• Curiosity and enthusiasm about new and unfamiliar technologies with ability to learn technical/scientific concepts quickly with minimal direction.
• Strong communication and collaboration skills.
• Basic knowledge of physics and linear algebra.

Preferred qualifications and experience

• MSc in Computer Science, Engineering, Physics, Math, or related field.
• Experience building tooling software in a research environment.
• Experience building large scale ML systems.
• Good knowledge in physics and linear algebra.
• Familiarity with distributed computing.
• Familiarity with optimization algorithms.
• Familiarity with statistical analysis/modeling.
• Familiarity with quantum computing.

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 Human Resources at hr@xanadu.ai.