Electrical Engineer

AMETEK

San Diego, CAFresher6d agovia LinkedIn

About the Role

The Electrical Engineer supports component engineering and product engineering activities for programmable power products, with a primary focus on component engineering and support for new product development (NPD) and sustaining engineering activities.

Key Responsibilities

Component Engineering

  • Support the selection, qualification, and validation of electronic and electromechanical components.
  • Identify and evaluate alternate components to address obsolescence, availability, lead-time, quality, and cost concerns.
  • Monitor component lifecycle status and support end-of-life and obsolescence mitigation activities.
  • Review and maintain Bills of Materials (BOMs) for accuracy, completeness, and compliance.
  • Support Engineering Change Orders (ECOs) related to component updates, substitutions, and lifecycle changes.
  • Coordinate with the India Component Engineering team on component qualification, technical reviews, lifecycle management, and cross-time-zone collaboration.
  • Collaborate with Purchasing and Supply Chain teams to address sourcing, availability, supplier, and material-related issues.
  • Support supplier and component technical evaluations and maintain related engineering documentation.

New Product Development (NPD) and Sustaining Engineering Support

  • Support power product development, product release, pilot builds, and continuous improvement activities.
  • Assist with product testing, validation, verification, troubleshooting, and root-cause investigations.
  • Support manufacturing builds and collaborate with Manufacturing and Quality teams to resolve technical issues.
  • Participate in design reviews and support engineering changes affecting new and existing products.
  • Prepare and maintain schematics, specifications, test procedures, reports, manuals, and other technical documentation.
  • Support product quality, reliability, manufacturability, serviceability, and cost-reduction initiatives.
  • Track assigned activities, follow up on action items, and communicate progress to cross-functional teams.

Requirements & Tech Stack

  • Bachelor's degree in Electrical Engineering or a related engineering discipline.
  • Internship, co-op, academic project, or up to one year of relevant experience in electrical engineering, component engineering, product engineering, or a related field.
  • Due to the nature of our programs and products, applicants must have the legal right to work in the U.S. and must also be legally authorized to access export-controlled information and source code.

Qualifications

  • Understanding of electronic components, analog and digital circuits, and power electronics.
  • Ability to read electrical schematics, engineering drawings, specifications, and BOMs.
  • Familiarity with engineering design and analysis tools, schematic capture, Microsoft Excel and Word, and database applications.
  • Hands-on experience using common laboratory equipment such as oscilloscopes, multimeters, power analyzers, and power supplies.
  • Strong organizational, analytical, troubleshooting, and problem-solving skills.
  • Effective written and verbal communication skills and the ability to work collaboratively with global and cross-functional teams.
  • Familiarity with component qualification, lifecycle management, obsolescence management, or alternate-part evaluation.
  • Exposure to Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems, including ARAS and Oracle.
  • Experience with switched-mode power conversion products, programmable AC/DC power systems, or related power-electronics applications.
  • Familiarity with manufacturing processes, supplier coordination, and design for manufacturability, testability, and serviceability.
  • Exposure to PWB layout, feedback controls, magnetics, embedded controllers, modeling, or simulation.
  • Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.

This role is based in San Diego, California.

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