Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  
• 4 years of experience working in hardware validation and testing of audio algorithms, or 3 years of experience with an advanced degree.
  
• Experience in digital signal processing or practical application in audio systems.
  

Preferred qualifications:

• Master's degree or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  
• 7 years of experience in hardware validation and testing of audio algorithms or related signal processing applications.
  
• Experience with audio testing methodologies, tools, quality metrics and lab equipment such as oscilloscopes, logic analyzers, and audio analyzers.
  
• Proficient in embedded system development and debugging techniques.
  
• Fluency in C/C++ and scripting languages (e.g. Python).
  
• Understanding of digital signal processing (DSP) fundamentals and practical application in audio systems.
  

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.

As an Audio Algorithm Hardware Validation Engineer, you will ensure the optimal performance of our audio algorithms on target hardware platforms. You will be pivotal in bridging the gap between algorithm development and seamless firmware integration. You will possess a deep understanding of audio signal processing, embedded hardware, and a passion for debugging and optimizing complex systems.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and execute test plans for audio algorithms on actual target hardware, including different use cases and environmental conditions (e.g., noise, holding position, etc.). Conduct concurrent user case testing to identify potential issues during concurrent or mode transition. 
  
• Collaborate with Algorithm and Firmware teams to isolate the root cause of issues arising during integration. Analyze logs, traces, and debugging output, pinpointing bottlenecks and suggesting performance optimizations. Propose solutions considering algorithm and firmware impacts.
  
• Be a technical liaison between the Algorithm and Firmware teams, facilitating knowledge transfer and troubleshooting. Identify integration challenges and compatibility issues early in the development cycle.
  
• Master the configuration and debugging tools relevant to the audio processing pipeline. Develop scripts or tools to automate testing and analysis tasks.