Job Summary
We are looking for a Battery SQA – QA Automation Engineer to drive quality and
reliability for battery-powered products at scale. In this role, you will combine hands-
on battery validation, manual and automated testing.
You will work closely with Hardware, Firmware, Systems teams to validate complex
battery systems, operate automated test labs, and design automation solutions.
This role requires strong execution, technical depth, and the ability to take ownership
from problem definition to deployed solution.
Key Responsibilities
Key Qualifications:
• B.S./M.S. in CS/EE with 3+ years relevant experience with QA Automation of
system, embedded systems, silicon, or hardware test, battery validation, or test engineering.
• Strong proficiency in Python for test automation and data analysis.
• Experience operating and troubleshooting lab-based, hardware-dependent test environments.
• Proven ability to debug complex test failures and drive root-cause resolution.
• Strong documentation, communication, and collaboration skills.
• Flexibility to work across changing priorities and project needs.
Preferred Qualifications:
• Experience with battery test equipment, DAQs, or automation hardware.
• Hands-on experience validating battery-powered devices or energy storage
systems.
• Background in ML experimentation, model evaluation, or deployment.
• Familiarity with hardware–software co-validation environments.
• Experience supporting large-scale automated test labs.
Skill Requirements
• Own end-to-end battery validation for battery-powered products, including functional, performance, and reliability testing.
• Develop, execute, and maintain manual and automated test cases across product lifecycles.
• Monitor automated battery test setups to collect metrics, perform initial triage, and drive failure analysis.
• Report, diagnose, and debug test failures in collaboration with cross-functional partner teams.
• Support day-to-day operation of automated testing labs, including hardware setup, maintenance, and troubleshooting.
• Design and build Python-based automation frameworks, test utilities, and analysis tools.
• Improve and maintain existing test infrastructure, automation pipelines, and workflows.
• Balance execution across manual testing (~80%) and automation (~20%), adapting to program needs.
• Continuously improve test coverage, efficiency, data quality, and documentation.
Other Requirements
• Analyze large-scale test data and present clear insights and recommendations to hardware, system, and program partners.
• Influence quality decisions through strong technical communication and data-driven analysis.