Wireless Verification Infrastructure Engineer

Sunnyvale, CA, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Art
  • Regression Analysis
  • Management
  • Analytics
  • Wireless Communication
  • Object-Oriented Programming
  • Software Design
  • Python
  • C
  • C++
  • Shell Scripting
  • Problem Solving
  • Conflict Resolution
  • Debugging
  • Computer Hardware
  • Workflow
  • Data Analysis
  • EDA
  • Linux
  • Database
  • SQL
  • Analytical Skill
  • Pandas
  • Jupyter
  • Artificial Intelligence
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • Communication
  • Collaboration

Summary

Join Apple's Wireless Connectivity team developing state-of-the-art WiFi SoCs that power hundreds of millions of Apple products worldwide. You'll be part of our vertically integrated organization shaping next-gen wireless technology from concept through production. As a Wireless Verification Infrastructure Engineer, you'll ensure first-time-right silicon success through sophisticated testbenches, comprehensive scenarios, and cutting-edge verification methodologies-enabling multi-gigabit wireless technology connecting the world!

As a Wireless Verification Infrastructure Engineer, you'll build and maintain the critical infrastructure that powers our WiFi verification and design efforts. You'll develop regression management systems and automation frameworks that process hundreds of thousands of tests daily across distributed systems. Working closely with Apple / Vendors teams, you'll architect wireless flows, create powerful analytics, and solve high-impact infrastructure challenges-directly accelerating verification closure and enabling the team to deliver exceptional wireless silicon.

Minimum requirement of a bachelor's degree.\nExperience with object-oriented programming and software design principles within Python and C/C++.\nExperience with distributed systems / compute infrastructure, Linux environments, and shell scripting.\nStrong problem-solving abilities and debugging approaches.

Exposure to Hardware / Software Workflows, and/or EDA Tools / Linux environments.\nExposure to databases (e.g., SQL), web frameworks, or data analytic tools (Pandas, Jupyter).\nExposure to AI coding assistants (Claude Code, Copilot, LLMs) or basic ML frameworks (PyTorch, TensorFlow).\nExcellent communication and collaboration skills working with partner teams.
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: 768fe6fb6e8c8eabe204092873f1728c
  • Posted 4 hours ago
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