Senior Scientific Software Engineer - Magnet Protection Systems

Yesterday

Apply Now

Receive Emails with Similar Jobs

Commonwealth Fusion Systems

WebsiteLinkedInAll Job Openings

51 - 200

Description

•Join the power movement as a Senior Scientific Software Engineer •The Scientific Software team at CFS develops software that helps us understand and build superconducting magnets and tokamaks. The primary project for this role will be developing software for a fiber optic quench detection system. A quench is an event where a superconducting magnet goes into thermal runaway, and SPARC will incorporate a system using fiber optic cables to detect and mitigate these events. We seek an experienced software engineer (Senior to Principal level) to help develop an algorithm for detecting quenches based on the data received by the fiber optic system. One of the tools used to develop the algorithm is a fiber model written in Python that simulates the expected signals during a quench and nominal operations. The engineer will also help increase the accuracy and performance of the simulation. The development of the fiber model and the quench detection algorithm are informed by experiments, ranging from bench top tests to full sized magnets. The engineer will be responsible for analyzing experimental data from these tests to validate the fiber model and test and develop the quench detection algorithm.

Requirements

•Bachelor’s degree in a technical field preferred •Programming language: Python, including type hinting •Able to independently set up a new software project, including CI/CD processes, linting, unit testing, and software documentation •Basic understanding of numerical methods, linear algebra, and differential equations •Able to understand the basics of the project’s physics aspects (e.g., undergrad-level electromagnetics and optics)) •Data analysis using pandas, numpy, matplotlib, or other similar Python packages •Experience with object oriented programming in Python •Experience with at least one of the following: signal processing, machine learning, and data analytic tools