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

Apple Inc.
San Diego, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

San Diego, United States of America

Tech stack

Apple Watch
Artificial Intelligence
Big Data
Bluetooth
Computer Engineering
Firmware
Python
Machine Learning
NumPy
Software Engineering
Systems Architecture
Wi-Fi Technology
Pandas
Matplotlib
Information Technology
Data Analytics
Wireless Technologies
Software Performance

Job description

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., 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.

Requirements

  • 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

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