GE Aerospace - Cincinnati, OH
posted 6 months ago
The Software Architect in Test Systems Engineer will be responsible for designing, validating, and developing software architectures for data acquisition systems used for validating aircraft engines. As part of the Smart Test Cell team, the Software Architect will architect modern software solutions to re-imagine how test cells acquire, store, manage, and process test data. This role will involve evaluating vendor and in-house systems, demonstrating new technologies, and leading software development efforts to replace existing test cell systems. The successful candidate will work collaboratively with a team to guide the transition of test cell systems to the next generation, ensuring that the solutions developed are efficient, effective, and meet the needs of the organization. In this position, the Software Architect will work collaboratively to design, procure, and evaluate data systems and software for acquiring, processing, and storing instrumentation data from engine and rig tests. The individual will be responsible for evaluating current systems and engaging with customers to understand and communicate shortfalls and enhancement opportunities for a next-generation system. Staying current with the state of the art within their technical specialty is crucial for new product introduction activities, performance improvements, cost reductions, and problem resolutions. The role also includes executing laboratory and field validation testing for the evaluation and validation of test cell software systems. Participation in Design Reviews and creating proper technical documentation for assigned projects and tasks consistent with engineering policies and procedures is expected. The Software Architect will use their judgment to make decisions or solve moderately complex tasks or problems in areas of operational/product management, manufacturing, technology, or engineering. They will take a new perspective on existing solutions and utilize their technical experience and expertise for data analysis to support recommendations. The individual will act as a resource for colleagues with less experience and may lead small projects with moderate risks and resource requirements, explaining difficult or sensitive information and working to build consensus.