Hardware Test Engineer

Base Power Company•Austin, TX
•Onsite

About The Position

Base is America’s next-generation power company. We’re rebuilding the foundation of modern civilization–electricity–by deploying a vast network of distributed batteries that is transforming today’s fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. We are looking for a hardware test engineer to design and run tests that ensure our hardware systems perform reliably under real-world conditions. You will be responsible for building and automating test setups, analyzing results, and sharing findings in a clear, useful way. This role is ideal for someone who’s hands-on, detail-oriented, and comfortable working across mechanical, electrical, and software domains.

Requirements

  • Electrical Engineering and/or Mechanical Engineering work experience with 2+ years of hands-on experience in test engineering of electromechanical products which run embedded firmware
  • Proficient with Data Acquisition (DAQ) systems, including sensor selection, signal conditioning, and troubleshooting.
  • A proven track record of designing and executing tests that define the limits of mechanical, electrical, and reliability performance.
  • Strong programming skills in Python and/or LabVIEW for instrument control, test sequencing, and data analysis.
  • Uncompromising standards for documentation; you take pride in producing clear, actionable test reports that tell a story with data.

Responsibilities

  • Drive a wide spectrum of validation efforts—including electrical, mechanical, and reliability to ensure our hardware meets and exceeds engineering and reliability requirements
  • Design and build tests by designing mechanical fixtures and PCBAs, sourcing power supplies, sensors, and other test equipment and automating test equipment, environmental chambers, and DAQ systems
  • Lead root cause and failure analysis on hardware issues to produce actionable test findings
  • Work with large amounts of test data and automate data analysis and anomaly detection
  • Distill complex technical results into high-signal reports that drive critical design decisions across the engineering organization.
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