Product Development Engineer for heavy duty automotive products. Collaborate in developing innovative solutions for climate - neutral mobility within the automotive industry.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Product Development Engineer at MAHLE responsible for designing and validating automotive components. Leading technical analyses, testing, and enhancing product solutions.
Maintenance Engineer developing and improving maintenance plans for UK trains at Hitachi Rail. Collaborating with teams to ensure safety, reliability, and compliance with standards and regulations.
Civil Engineer performing analyses and designing wetlands, restoring streams at Princeton Hydro. Collaborating with a multidisciplinary team on civil engineering applications and project ownership.
County Maintenance Engineer managing road maintenance projects in Ashe County, NC for the Department of Transportation. Ensuring efficiency in operations and supervising personnel with engineering practices.
On - Board Performance Applications Engineer at Airbus developing aircraft performance models and collaborating cross - functionally. Contributing to improving flight operations and safety in the aeronautic industry.
ME Business Methods Engineer involved in developing digital Work Preparation processes for Airbus Manufacturing Engineering. Requires experience in Manufacturing Engineering, Agile project management, and ARP/SAP.
NetApp Engineer at SilverEdge Government Solutions providing solutions to DoD customers. Engaging in design and development of storage systems for the intelligence sector.
Engineer in JetBlue's IT infrastructure team responsible for maintaining systems and virtualization platforms. Collaborating with teams to optimize performance and support business processes.
Data Center Engineer handling critical infrastructure including monitoring and managing data center components. Working at Xecuro GmbH in Berlin, contributing to secure digitization solutions.