Waveguide Development Engineer, XR

About the job

In this role, you will lead the development and manufacturing of optical systems, bridging the gap between design and high-volume production to realize next-generation augmented reality eyewear displays.

For decades, the computing revolution has reshaped our world driven by
breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR
team is at the forefront of the next major leap – the convergence of AI and
XR. This is more than just new devices – it's about reimagining how we
interact with the world around us. We're building a future where
lightweight XR devices like smart glasses and headsets pair with helpful AI
to augment human intelligence, offering personalized, conversational, and
contextually aware experiences.

The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

• Develop and implement manufacturing processes for optical components and assemblies, focusing on yield, quality, and cost efficiency.
• Collaborate with design, optical engineering, and manufacturing teams to ensure design for manufacturability (DFM) and process integration.
• Design and execute Design of Experiments (DOE) to characterize process parameters, identify critical process controls, and optimize manufacturing performance.
• Utilize statistical process control (SPC) and data analysis techniques to monitor process stability, identify deviations, and drive continuous improvement.
• Conduct root cause analysis for process issues, yield loss, and quality defects, and implement effective corrective and preventive actions (CAPA).