Entry Level Product Validation And Characterization Engineer (IoT)

TL;DR

Entry Level Product Validation And Characterization Engineer (IoT): Building and optimizing validation and characterization test plans for state-of-the-art mixed-signal analog IP in microcontroller products. Focus on developing software for automated bench validation using LabVIEW, TestStand, Python, and embedded C, collecting/analyzing data across PVT, and performing root cause analysis in a fast-paced environment.

Location: Onsite in Austin, TX

Company

hirify.global is a global company focused on accelerating the secure connected edge, providing solutions for secure connected microcontrollers for IoT, automotive, and industrial applications.

What you will do

• Develop validation and characterization test plans for state-of-the-art mixed-signal analog IP.
• Perform bench validation and characterization of various IPs (e.g., ADCs, DACs, LDOs, PLLs, USB PHY) in Automotive, Industrial IoT, and Consumer Microcontroller products.
• Develop software for automated bench validation using LabVIEW, TestStand, Python, and embedded C.
• Collect and analyze data across process, voltage, and temperature (PVT), and generate summary reports.
• Perform Automated Test Equipment (ATE) to bench correlation exercises and participate in root cause analysis efforts.

Requirements

• BSEE or MSEE in Electrical and/or Computer Engineering.
• Exposure to test and measurement equipment such as Power Supplies, Oscilloscopes, Multimeters, Signal/Function Generators, and NI PXI Systems.
• Familiarity with programming languages C, C++, Python, LabVIEW, TestStand, and source code revision control tools like Git or SVN.
• Ability to work effectively in a cross-functional team setting (Design, Product, Test, Systems, Applications, Marketing, QA).

Culture & Benefits

• Work in a fast-paced environment managing multiple projects in parallel.
• Opportunity to contribute to first-of-a-kind products that provide transformational value.
• Utilize networking capabilities to solve problems efficiently.
• Focus on finding the balance between over-engineering and under-engineering solutions.