Power Electrical Engineer

Design and maintain power data pipelines, run device power characterization in lab, build dashboards and automate lab equipment for long-duration tests.

Experience: 4-10 years

Work authorization: No H1B visa sponsorship; EAD, Green Card, Citizens only

• Development of system power characterization test plans for battery runtime validation.
• Power Consumption measurement of various device use cases done in on-site lab environment.
• Monitoring test results, analyze data and correlate measurements against estimates.
• Debugging power regressions.
• Create and maintain web-based dashboards to track build to build power measurements.
• Support the design scripts to automate lab equipment for remote testing for long duration tests (hours to weeks). Also, develop test scripts for device power automation and assist with dashboard data reporting.
• Creating scripts to analyze raw measurements and logs from the DUTs.
• Hands-on hardware bench testing.
• Hands-on full Form-Factor testing within lab conditions.

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• 3+ years of experience in Power consumption measurement of various device use cases done in on-site lab environments including oscilloscopes, power supplies, power measurement equipment, DMMs.
• Proven experience writing and maintaining softwares for data processing and analysis.
• Experience working with consumer electronics hardware research and development in a lab environment.
• Strong analytical and problem-solving skills. Ability to spearhead troubleshooting efforts via ad-hoc data analysis.
• Effective communication and collaboration skills.
• Ability to work independently and as part of a team.
• Highly organized, able to prioritize and balance multiple work streams to tight deadlines.
• Ability to network, build relationships and drive effective decision-making across multiple functions and levels within the organization.
• Experience with SQL Databases, DAG pipelines, and data pre-processing.

• Master's degree in Computer Science, Electrical Engineering, or related field.
• Experience with data engineering frameworks such as Apache Hive, Apache Airflow, Spark SQL, or AWS S3 and EC2.
• Knowledge of data visualization tools such as Tableau, Power BI, or D3.js.
• Experience with cloud-based data platforms.
• Certification in data engineering or a related field.