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Product RF Design Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-17
Job specializations:
  • Engineering
    Electronics Engineer, Electrical Engineering, Systems Engineer, Wireless / 5G
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below

You will have a once-in-a-lifetime opportunity to deliver outstanding performance for wireless products. As a member of the Product RF Design team, you will be at the forefront of wireless technology as we push the boundaries of achievable performance in wireless for innovative products. You will become part of a hands-on product development team that develops and influences current and future generations of Apple products.

We’re looking for dedicated and motivated engineers with good fundamentals in one or more areas of RF/wireless and electromagnetic theory, antenna design, system integration, & wireless communications.

Description

Product RF Design Engineers should have a broad-based knowledge in RF architecture, design, integration and manufacturing. They have deep theoretical and practical knowledge in one or more areas of electromagnetic theory, RF and Wireless circuit design, communication theory, and product design trade-off. They use electromagnetic and system simulation, hands on prototyping, test and measurement to understand complex system and sub-system interactions, implications to product level design, and manufacturing trade-offs to enable mass production.

Minimum Qualifications
  • BSEE or Equivalent Education.
  • Coursework or experience in antenna/RF design, wireless communications, EM, or circuits.
  • Knowledge of EM or RF Hardware or antenna design.
Preferred Qualifications
  • Master’s or above degree in Electrical Engineering with Electro-magnetics or RF emphasis.
  • Knowledge of electromagnetic simulation tools.
  • Hands-on experience with RF lab instrumentation.
  • Ability to debug Desense issues and characterize noise sources.
  • Experience with production environment and statistical analysis.
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