Job description

Requisition ID # 175332 Job Category: Engineering / Science Job Level: Individual Contributor Business Unit: Energy Delivery Work Type: Hybrid Job Location: San Ramon Department Overview The Wildfire, Emergency and Operations (WEO) organization is responsible for oversight of PG&E’s wildfire operations and associated mitigations. The organization is responsible for the development and maintenance of consistent processes and work standards associated with sustainable wildfire and emergency response preparedness operations in line with our regulatory policies and practices. Operational Safety, Enterprise Corrective Action Program, Safety Programs, Contractor Safety, and Transportation Safety & Compliance is also embedded within Wildfire, Emergency and Operations. The organization’s Continuous Monitoring team evaluates, deploys and operationalizes new technologies that provide data for real time grid monitoring. This enables PG&E to become more predictive of developing problems on our electric system and implement proactive maintenance to reduce ignition risk and improve reliability Position Summary This position will support the evaluation and implementation of new technologies that will be piloted and operationalized to keep our distribution system safe and reliable. This position requires a strong ability to work effectively across organizational boundaries and engage with a diverse set of stakeholders and technology users. A strong applicant will be an organized and motivated individual, with the ability to be successful in working on high performing cross-functional project teams in a fast-paced environment. The Grid Asset Performance Engineer will be involved with but not limited to Smart Grid Technology (continuous monitoring sensor technologies such as Line Sensors, Fault Detection sensors, advanced smart meters), and other new emerging technology & applications that support asset health & performance monitoring, early detection of assets on path to failure, better determination of fault location, and advanced data analytics. This position is hybrid, working from your remote office and your assigned location based on business need. Headquarters are San Ramon PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors. The hourly rate for this position ranges from: Bay Area Minimum: $43.27 Bay Area Maximum: $65.38 This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. Job Responsibilities • Interpret Smart Meter data and predictive alerts to identify potential transformer defects and overhead/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. • Conduct thorough investigations of identified anomalies and potential equipment issues to support appropriate follow-up actions. • Collaborates with peers to prepare technical reports and specifications and to identify, define, and solve problems. • Participates in identifying innovations and cost-reduction potential of new and existing technologies. Qualifications Minimum: • Bachelor’s degree in Engineering with emphasis in a discipline related to assignments. (i.e., mechanical, civil or electrical engineering, etc.) • Job-related experience, 2 years • Travel required; frequency depends on assignment (10%) Desired: • Masters Degree or equivalent experience • PE-Professional Engineer license • Basic knowledge in engineering research and testing concepts, theories, practices, methods, 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

Requirements

Must-haves

Requisition ID # 175332
Job Category: Engineering / Science
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: San Ramon
Department Overview
The hourly rate for this position ranges from:
Bay Area Minimum: $43.27
Bay Area Maximum: $65.38
This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
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.
Conduct thorough investigations of identified anomalies and potential equipment issues to support appropriate follow-up actions.
Collaborates with peers to prepare technical reports and specifications and to identify, define, and solve problems.

Nice-to-haves

Masters Degree or equivalent experience
PE-Professional Engineer license
Basic knowledge in engineering research and testing concepts, theories, practices, methods, 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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learning

Platform: successfactors
Effort: medium