Wi-fi/bluetooth Software System Performance Engineer, Wireless Technologies & Ecosystems

Apple Apple · Big Tech · San Diego, CA +1 · Software and Services

Software Performance Engineer for Wi-Fi/Bluetooth firmware, focusing on optimization, testing, and data-driven recommendations for Apple's wireless products. Responsibilities include devising evaluation methodologies, analyzing logs, and developing Python tools for automated testing and data analysis.

What you'd actually do

  1. Design and execute performance evaluation methodologies for Bluetooth and wireless connectivity firmware across the full product lifecycle
  2. Analyze system logs, protocol traces, and metrics to identify bottlenecks and drive software optimizations
  3. Conduct power and performance trade-off analysis to inform system-level architecture and implementation decisions
  4. Develop Python-based tools for automated testing, data collection, analysis, and visualization
  5. Use wireless sniffers and protocol analyzers to debug issues, root-cause failures, and validate fixes

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • Deep expertise in WiFi or Bluetooth protocols and Multi-radio Coexistence solution
  • Proficiency in Python, including hands-on use of data science libraries (e.g., Pandas, NumPy, Matplotlib) for large-scale data manipulation, analysis, and visualization