Distribution Asset Failure Analysis Engineering Intern, Electric Engineering Planning and Strategy

Department Overview

The hardworking coworkers of Electric Engineering Planning and Strategy ensure all manners of electric engineering including electric planning, standards, engineering, regulatory compliance, asset management and electric investment planning are in place to safely enable a strategic and stable workplan for our Electric Operations partners. Our organization is accountable for program planning, financial budgeting, and project execution and delivery of all electric engineering projects. Electric Engineering is comprised of approximately 2,000 coworkers. 

Position Summary

With guidance from senior engineers, this role will focus on developing proactive, data‑driven solutions for PG&E. The candidate will analyze electric distribution asset failure data and leverage data engineering, visualization, and trend analysis to support asset strategy decision‑making.

The successful candidate will gain hands-on experience applying asset management principles by supporting the Distribution Overhead Asset Strategy team. This role provides exposure to asset life‑cycle concepts and foundational knowledge of distribution conductors, support structures, transformers, protection equipment, and switching equipment. The candidate will support senior Distribution Engineers by helping evaluate and inform the effectiveness of asset management practices, considering both short‑ and long‑term asset performance and system reliability.

The candidate will support efforts to enhance understanding of asset system failures, threat identification, and outage analysis related to distribution overhead equipment. Responsibilities include maintaining and improving asset failure dashboards and visualizations, as well as analyzing asset management knowledge databases—such as failure modes, technical standards, and asset-specific management practices—to identify emerging risks and recommend system improvements.

Responsibilities

• Support Asset Failure Analysis (AFA) efforts through data-driven engineering analysis, including asset performance trending, cause evaluation analysis, and other reliability-focused assessments.
• Support outage and ignition/event reviews by compiling information, conducting preliminary analyses, and documenting findings under the guidance of a senior engineer or supervisor.
• Apply engineering principles and analytical methods to support asset performance, reliability assessments, and failure analysis.
• Identify opportunities to strengthen PG&E’s asset strategy programs by translating data into actionable insights, recommendations, and clear visualizations.
• Prepare concise technical summaries and materials (tables, charts, write-ups) to communicate results to engineering and cross-functional stakeholders.
• Stay flexible and responsive to emerging requests, shifting priorities as needed while collaborating effectively within the team.

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. 

The hourly rate for this position ranges from $23.08 to $46.46 

Qualifications

Minimum Qualifications:

• Currently pursuing bachelor's or master’s in Data Science, Electrical, Materials, or Mechanical Engineering, Systems, or other related field 
• Must be continuing their education toward a degree during and/or after the internship

Desired Qualifications:

• Foundational understanding of engineering analysis concepts, including research methods, testing, data evaluation, and problem-solving techniques.
• Demonstrated curiosity and investigative mindset, with an interest in understanding failure mechanisms, root causes, and system behavior.
• Strong analytical, organizational, and critical-thinking skills, with the ability to synthesize data into clear insights and recommendations.
• Effective written and verbal communication skills, with the ability to collaborate in a team-oriented engineering environment.
• Comfortable working with various types of software and standard productivity tools, including Microsoft Outlook, Word, Excel, and PowerPoint. Experience working with data or analytics tools is a plus.
• Ability to manage multiple tasks, adapt to changing priorities, and respond proactively to emerging analytical needs.

Note: PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.