Grid Asset Performance Engineer, Associate

PG&E • San Ramon, CA

1d • Hybrid

About The Position

The Grid Asset Performance Engineer supports the evaluation and implementation of technologies piloted and operationalized to keep PG&E’s distribution system safe and reliable. The role works across organizational boundaries with diverse stakeholders and technology users, and contributes to cross-functional project teams in a fast-paced environment.

The position focuses on Smart Grid technologies, including continuous monitoring sensors such as line sensors, fault detection sensors, and advanced smart meters, as well as emerging technologies and applications for asset health and performance monitoring, early detection of assets at risk of failure, fault-location determination, and advanced data analytics. The position is hybrid, working from a remote office and an assigned location based on business need; headquarters are in San Ramon.

Requirements

• Bachelor’s degree in Engineering, with emphasis in a discipline related to the assignments, such as mechanical, civil, or electrical engineering.
• Two years of job-related experience.
• Travel required; frequency depends on assignment (10%).

Nice To Haves

• Master’s degree or equivalent experience.
• Professional Engineer (PE) license.
• Basic knowledge of engineering research and testing concepts, theories, practices, methods, and techniques.
• Basic investigative skills.
• Communication and interpersonal skills.
• Good customer service orientation.
• Understanding of quality assurance and control concepts and practices.
• Good organizational and analytical problem-solving skills.
• Collaboration and teamwork.

Responsibilities

• Interpret Smart Meter data and predictive alerts to identify potential transformer defects and overhead or underground electrical line issues, and translate findings into actionable recommendations for field operations and asset management teams.
• Analyze historical defect data, inspection records, and operational datasets to help improve predictive model accuracy and reduce false positives.
• Collaborate with field operations, Protection & Control, and engineering teams to investigate and validate machine-learning-driven predictions and findings.
• Investigate identified anomalies and potential equipment issues to support appropriate follow-up actions.
• Collaborate with peers to prepare technical reports and specifications and to identify, define, and solve problems.
• Participate in identifying innovations and cost-reduction potential of new and existing technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level