Senior Test Development Engineer, Datacenter GPU Systems
NVIDIA
LinuxPythonShell ScriptingUnix
Photonics Test Engineer, Data Analysis
Xanadu
full-time
Posted on:
Origin: • 🇨🇦 Canada
Visit company websiteJob Level
Junior
Tech Stack
NumpyPandasPython
About the role
- Build the software that drives the analysis and measurement of on-chip photonic devices
- Develop and maintain robust, trustworthy analysis pipelines for photonic device data
- Work hands-on in a photonics lab and collaborate closely with physicists and engineers
- Develop workflows, models, and algorithms to analyze complex experimental data
- Perform data analysis and interpret experimental data
- Collaborate with data engineers to manage data sourcing and maintain data integrity throughout the analysis pipeline
- Apply software best practices and "clean code" to ensure reliability and maintainability of analysis tools
- Support hardware team and physicists in using the tools you develop
- Potentially expand into test engineering and test automation roles
Requirements
- 1+ years of hands-on photonics laboratory experience with optical and/or semiconductor testing, including data collection and analysis OR
- 1+ years of experience in a professional software development environment building robust data analysis tools
- Proficiency in Python and experience with data analysis libraries such as NumPy, SciPy, and pandas
- Experience with Git and the pull request workflow
- Demonstrable understanding of software design principles
- Strong foundational understanding of photonics, optical physics, quantum physics, or related fields
- Bachelor's degree in Engineering, Physics, or a related field
- (Preferred) Master's or PhD degree in Engineering, Physics, or a related field
- Understanding of the full software development lifecycle, including version control, code review, testing, continuous integration, logging, and documentation
- Strong statistical or mathematical intuition; understanding of overfitting, underfitting, and propagation of uncertainty
- Experience with Bayesian methods or optimization methods in data analysis
- Excellent communication skills and ability to thrive in a fast-paced research environment
- Authorization to work in Canada (application form asks about work authorization)
