Audio Algorithm Validation Engineer, Google Pixel

About the job

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

The team elevates audio experiences by validating and optimizing the interplay between innovative algorithms and embedded hardware, ensuring performance across diverse devices. The team supports the development and implementation gap between audio algorithms and firmware to ensure integration and performance on goal hardware. The team leads hardware-aware validation and debugging of audio algorithms under various operating conditions, maximizing hardware/software synergy.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

• Design and execute test plans for audio algorithms on hardware goals, including use cases and environmental conditions (e.g., noise, holding position, etc.) to identify potential issues. 
  
• Collaborate with Algorithm and Firmware teams to pinpoint issues and isolate the root cause during integration.
  
• Propose solutions considering algorithm and firmware impact, and suggest performance optimizations.
  
• Identify integration challenges and potential compatibility issues early in the development cycle.
  
• Debug tools and develop scripts or tools to automate testing and analysis tasks to the audio processing pipeline.