Wi-Fi/Bluetooth Software System Performance Engineer, Wireless Technologies & Ecosystems

Join the Wireless Technologies and Ecosystems organization and be part of an outstanding team of engineers driving innovation on products used by millions worldwide. We are looking for a highly motivated Software Performance Engineer to lead optimization of software design for Apple's latest products, including the next generation of iPhone, iPad, Apple Watch, AirPods, Mac, and more. ## Description As a key member of the Connectivity Firmware Performance team, you will work on software design, testing, and optimization from early prototypes through productization. Your work will involve devising performance evaluation methodologies on SW/HW prototypes, analyzing logs, and making data-driven recommendations for software design based on trade-off analysis at the system and product level. ## Responsibilities Design and execute performance evaluation methodologies for Bluetooth and wireless connectivity firmware across the full product lifecycle Analyze system logs, protocol traces, and metrics to identify bottlenecks and drive software optimizations Conduct power and performance trade-off analysis to inform system-level architecture and implementation decisions Develop Python-based tools for automated testing, data collection, analysis, and visualization Use wireless sniffers and protocol analyzers to debug issues, root-cause failures, and validate fixes Partner with firmware, hardware, and systems engineers, communicating findings through technical reports and presentations ## Minimum qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience Deep expertise in WiFi or Bluetooth protocols and Multi-radio Coexistence solution Experience leading or technically mentoring engineers on complex, cross-functional projects Strong background in RF, digital signal processing, and wireless communications Proficiency in Python, including hands-on use of data science libraries (e.g., Pandas, NumPy, Matplotlib) for large-scale data manipulation, analysis, and visualization ## Preferred qualifications Hands-on experience with power and performance trade-off analysis in wireless systems Broad understanding of wireless system architecture across multiple stack layers Research or industry experience applying AI/ML techniques to wireless communication problems Flexible problem-solver with the ability to adapt strategies and deliver practical solutions in ambiguous environments Strong prioritization and results-driven mindset, with a genuine curiosity to continuously learn and improve processes MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field strongly preferred