Tx Sub-System Validation Engineer for RF Cellular Transceivers (m/f/d)

Job Description:

We live in a mobile device driven world where the need to a continuously increasing data throughput, un-interrupted connectivity and low latency data exchange are demanding continuously evolving communication techniques and innovation. At Apple we are committed to develop best-in-class mobile devices that enable simultaneously an un-compromised customer experience and ever increasing battery time. Keeping our commitment is possible by being in the forefront of the innovation, by bringing to our teams outstandingly experienced and motivated people. The success we are striving is the result of very skilled teams, collaborating in an environment which cultivate creativity, partnership, thinking of old problems in new ways and an un-compromised need for excellence. If that sounds like the kind of environment that you find intriguing, then let's talk. We are looking to hire a Tx focused RF System Validation Engineer in a group that develops cellular modems that will be used in Apple's mobile devices. You will be responsible for the validation and optimisation of the transmitter embedded in the cellular RF sub-system which is part of different innovative mobile products. Your responsibility will cover all cellular radio access technologies, terrestrial or non-terrestrial communication. Your work will require intensive collaboration with various development or productization teams across the world. We are looking for an enthusiastic, experienced and self-contained technical expert who can help us with tomorrow's challenges.
In the cellular modem development the RF system is developed, characterised and optimised before it gets integrated into different kind of products. As an RF system validation engineer you have a wide range of responsibilities during the complete development cycle. This starts by defining the test scope, planning and developing the tests cases which are then used to characterise and optimise the RF system. You will own regression tests that monitor the achieved performance during the entire development and productization phase. Your competence and dedication is required to solve very tricky functional and performance failures reported from the product testing and is needed all the way until the launch of the product. Your collaboration skills will enable you to overcome technical challenges which need to be resolved by different teams located in various locations across the world.
In depth knowledge of RF measurement techniques and expertly familiar with the standard lab based test equipment. e.g. spectrum analysers and VNAs etc. Experienced with the handling of state-of-the-art RF measurement instruments and their automation. e.g. Dedicated testers for LTE or 5G Excellent understanding of analog and digital RF transceiver implementations, along with the key performance indicators of an Tx system. e.g. ACLR, EVM. Working knowledge of 3GPP standards with focus on RF requirements and particularly those related to the Tx or Uplink. Detailed understanding of how the Tx KPIs and the 3GPP specification impacts system level performance. Strong programming skills with languages such as Python, Matlab, C/C++ is an advantage and an expert in creating test automation scripts to run in lab and an automated regression environment. Proven cross-functional collaboration experience involving multiple teams and disciplines. Passionate about the utilisation of AI/ML in your daily activities. Team spirit, excellent communication skills and the desire to accept diverse challenges are essential.
Knowledge of Tx linearisation and efficiency improvement techniques like envelope tracking and digital pre-distortion and their characterisation methods. Skilled in post-processing, statistical analysis, and visualisation of large data sets in tools like Tableau and Python Libraries. Experience in leveraging AI/ML to monitor, detect, and analyse anomalies in large data sets. Trained in utilising AI/ML to constrain optimisation space by guiding searches within complex, high-dimensional problems or improving efficiency and covering more of the solution space than traditional brute force measurement methods. MS or PhD or equivalent experience in Electronic Engineering