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

San Diego, CA, US • Posted 30+ days ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Innovation
  • iPhone
  • iPad
  • Firmware
  • Testing
  • Optimization
  • Performance Appraisal
  • Prototyping
  • Software Design
  • Bluetooth
  • Radio
  • Mentorship
  • RF
  • Digital Signal Processing
  • Python
  • Data Science
  • Pandas
  • NumPy
  • matplotlib
  • Data Manipulation
  • Visualization
  • Systems Architecture
  • Research
  • Artificial Intelligence
  • Machine Learning (ML)
  • Wireless Communication
  • Computer Science
  • Computer Engineering
  • Electrical Engineering

Summary

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.

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: d5340f3ca5b1f57cb10b98b6d314fbbb
  • Posted 30+ days ago
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