Manufacturing Software Test Engineer

Wing•Dallas, TX

24d•$162,000 - $172,000•Onsite

About The Position

Wing is looking for a Manufacturing Software Test Engineer to join our Manufacturing team. This role is onsite based in Dallas, Texas. The manufacturing software test team develops automated test systems and infrastructure for mass production of Wing's aircrafts. The successful candidate is able to demonstrate a broad multidisciplinary background of hardware and software systems as well as work cross-functionally to develop and deploy robust solutions for our manufacturing lines, and support issues on the manufacturing lines.

Requirements

5+ years of experience in designing and development software for manufacturing test and infrastructure
Bachelor's degree in Computer Science, Electrical Engineering or related field, or equivalent experience
Proficient programming with Python with strong understanding of data structures and object-oriented programming
Experience with hardware and software embedded systems in Unix/Linux environments
Knowledge of test methodologies, creating test plans, test cases and QA processes
Experience in prototyping, bring-up, debugging, verification, and providing manufacturing support for embedded systems.
Knowledge with communication protocols and interfaces such as USB, UART, SSH, SCPI, or CAN
Experience with electronics fundamentals (e.g., reading schematics, datasheets)
Ability to travel domestically and internationally 10-15%

Responsibilities

Develop, support and deploy test automation software and infrastructure to aircraft manufacturing sites during NPI and mass production stages
Investigate and analyze manufacturing data to debug hardware and software issues related to aircraft components/technologies and embedded Linux systems
Oversee and enhance aircraft deployment and testing at operational sites, ensuring alignment with company objectives and operational excellence
Work cross functionally with internal teams, vendors and contract manufacturer to drive projects, resolve issues and improve design/processes
Design and deliver data analysis tools and infrastructure that transform manufacturing data into actionable insights, leading to continuous improvement