Wi-FiBluetooth Software System Performance Engineer, Wireless Technologies & Ecosystems

Join the Wireless Technologies and Ecosystems organization and be part of annoutstanding team of engineers driving innovation on products used by millionsnworldwide. We are looking for a highly motivated Software Performance Engineer tonlead optimization of software design for Apples latest products including the nextngeneration of iPhone iPad Apple Watch AirPods Mac and more.

As a key member of the Connectivity Firmware Performance team you will work onnsoftware design testing and optimization from early prototypes throughnproductization. Your work will involve devising performance evaluation methodologiesnon SW/HW prototypes analyzing logs and making data-driven recommendations fornsoftware design based on trade-off analysis at the system and product level.

Design and execute performance evaluation methodologies for Bluetooth and wireless connectivity firmware across the full product lifecyclenAnalyze system logs protocol traces and metrics to identify bottlenecks and drive software optimizationsnConduct power and performance trade-off analysis to inform system-level architecture and implementation decisionsnDevelop Python-based tools for automated testing data collection analysis and visualizationnUse wireless sniffers and protocol analyzers to debug issues root-cause failures and validate fixesnPartner with firmware hardware and systems engineers communicating findings through technical reports and presentations

Bachelors degree in Electrical Engineering Computer Engineering Computer Science or equivalent experiencenDeep expertise in WiFi or Bluetooth protocols and Multi-radio Coexistence solutionnExperience leading or technically mentoring engineers on complex cross-functional projectsnStrong background in RF digital signal processing and wireless communicationsnProficiency in Python including hands-on use of data science libraries (e.g. Pandas NumPy Matplotlib) for large-scale data manipulation analysis and visualization

Hands-on experience with power and performance trade-off analysis in wireless systemsnBroad understanding of wireless system architecture across multiple stack layersnResearch or industry experience applying AI/ML techniques to wireless communication problemsnFlexible problem-solver with the ability to adapt strategies and deliver practical solutions in ambiguous environmentsnStrong prioritization and results-driven mindset with a genuine curiosity to continuously learn and improve processesnMS or PhD in Computer Science Computer Engineering Electrical Engineering or a related field strongly preferred