Receiver RF Silicon Validation Engineer (m/f/d)

Apple

Linz

On-site

EUR 70,000 - 100,000

Full time

14 days+

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Job summary

Apple is seeking an experienced RF Validation engineer to push the performance of cellular transceivers. You will work on cutting-edge RF subsystems, develop validation plans, and collaborate across teams to deliver reliable, low-power mobile connectivity.

You will apply AI/ML methods to measurement and test automation, script in Python/C++/MATLAB, and own your deliverables from start to finish in a fast-paced environment.

Qualifications

  • In-depth RF fundamentals and measurement techniques.
  • Experience characterizing and debugging RF cellular systems.
  • Experience creating test automation scripts for lab/regression.
  • Knowledge of AI/ML with a solid foundation.
  • Programming in Python, C/C++, and MATLAB.

Responsibilities

  • Characterize and optimize key RF parameters.
  • Analyze issues during verification phases.
  • Develop scripts for test automation.
  • Apply AI/ML approaches to advance measurements and regression.

Skills

RF fundamentals
RF measurement
Root cause analysis
Test automation
AI/ML
Python
C/C++
MATLAB
English

Education

Master's degree
PhD

Job description

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Smart people and inspiring, innovative technologies are the norm here. Our team is responsible for validating the RF performance of top-notch, monolithic, cellular transceivers and the RF sub-systems built around them. In order to expand our team's validation capability towards future Apple products, we are looking for an experienced, passionate RF engineer with AI/ML and programming skills. The world-class cellular RF sub-systems developed in our labs are enabling Apple mobile devices in uncompromised cellular network connectivity at the lowest possible battery drain, enabling long hours of enjoyable customer experience. Thus, join us and leverage your passion for RF excellence and innovation, bringing your education and experience to the world's most innovative company!

Description

In the position of RF Validation engineer, you will work on market-leading, cutting-edge cellular transceivers. The broad scope of responsibility includes the characterization and optimization of key RF parameters, the analysis of functional or performance issues encountered during different verification phases, and the development of scripts for test automation. You will apply innovative approaches — including AI/ML-based methods — to advance measurement and analysis capabilities and to scale our regression environment. Your work style is very collaborative, you manage your deliveries and dependencies self-contained, and your execution enables you to meet your commitments.

Minimum Qualifications

In depth knowledge of RF fundamentals, RF measurement techniquesProven experience in characterizing and debugging RF cellular systems and components, including root cause analysis in the laboratoryExperience in creating test automation scripts to run in the lab and/or regression environmentKnowledge of AI/ML with a solid foundation in machine learningKnowledge of 3GPP standards with a focus on RF requirementsProgramming skills, leveraging modern AI-coding assistants to generate scripts, debug logic, and optimize code, with languages such as Python, C/C++, and MatlabEnglish language proficiency is required for this position

Preferred Qualifications

Master's or higher degree (PhD) in Electrical Engineering, Communication/ Embedded Systems, or equivalent, with several years of proven industrial RF silicon-validation experienceHands-on experience applying AI/ML techniques to RF, signal-processing, or lab-automation problemsAbility to collaborate technically with a variety of teams (Design, Firmware, System, etc.)Team spirit, excellent communication skills, and the desire to accept diverse challenges are essential

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