Eaton Corporation’s Center for Intelligent Power has an opening for a ciate Engineer- Machine Learning Embedded QA. The ideal candidate will be responsible for developing and maintaining the infrastructure and tools required to deploy and maintain machine learning models at scale. This position requires understanding in machine learning and software engineering. The candidate will work closely with other teams to make sure the requested features by the businesses are delivered.
About Eaton:
Eaton is power management company with 2018 sales of $21.6 billion. We make what matters work. Everywhere you look—from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day—you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We’re ethical, passionate, accountable, efficient, transparent, and we’re committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.
- Develop and maintain Python / C/Matlab - based test automation frameworks for embedded systems.
- Programming skills for purposes of automated testing and data processing. (e.g., scripting, Matlab, Python, hardware inter)
- Interface with STM32 boards via serial, SWD/JTAG, and other communication protocols.
- Automate hardware-in-the-loop (HIL) testing and integrate with CI/CD pipelines.
- Analyze test results, generate reports, and collaborate with development teams to resolve issues.
- Work with embedded debugging tools (ST-Link, OpenOCD) and STM32CubeIDE for test execution.
- Ensure compliance with industry standards for embedded testing and documentation.
