Process Manufacturing Engineer developing and implementing PCB manufacturing systems at TTM Technologies. Focused on improving manufacturability and collaborating with customers and suppliers.
About the role
- Photonics Data Analysis Engineer in a hybrid role developing software for analyzing photonic devices at Xanadu. Collaborating with physicists and engineers to enhance quantum computing technology.
Responsibilities
- Automating analysis workflows run in jupyter notebooks into cloud deployed pipelines analyzing terabytes of optical data per month.
- Using your advanced mathematical, physical, and statistical skills to develop new algorithms and maintain existing ones.
- Assigning uncertainties to derived metrics of the analysis.
- Forecasting uncertainties of proposed experimental designs to measure photonic device performance at bleeding edge precision.
- Working with hardware engineers and physicists to apply software best practices to their data analysis using the latest tools and models you develop.
- Debugging unexpected results of analysis at each step in the process - determining if results are due to software failure, experimental failure or physical properties in the device.
- Interfacing with data engineers to manage data sourcing and maintain data integrity.
- Developing visualizations and metrics engineers can use to make critical engineering decisions.
Requirements
- Strong programming skills: Experience with python data analysis libraries such as NumPy, SciPy, and pandas.
- Understanding of python data structures and software design principles.
- Experience with Git and the pull request workflow.
- Physics Background: Strong foundational understanding of photonics, optical physics, quantum physics, or analogous fields.
- Bachelor's degree in Engineering, Physics, or a related field.
- Master's or PhD degree in Engineering, Physics, or a related field is preferred.
- 1+ years of experience in a professional software development environment.
- Understanding of the full software development lifecycle, including version control, code review, testing, continuous integration, logging, and documentation.
- Strong statistical and mathematical intuition, with an understanding of concepts like overfitting, underfitting, and propagation of uncertainty.
- Experience with Bayesian methods or optimization methods in data analysis.
- Excellent communication skills and the ability to thrive in a fast-paced research environment.
Benefits
- inclusive, safe, and equitable culture
- professional development opportunities
Job title
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Degree requirement
Tech skills
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