Senior Technical Solutions Consultant, Optical...

• Design custom optomechanical test fixtures and multi-axis motion control setups using 3D prototyping and rigorous mechanical alignment tolerances to validate AR/VR hardware.

• Develop full-stack software and automated calibration pipelines for camera intrinsics, extrinsics, and display alignment using Python and computer vision.

• Perform optical alignment and validation using reference targets, camera-based self-alignment, and automated simulation scripts prior to physical builds.

• Leverage AI-assisted development tools to build scalable automation software and document reusable test frameworks across future hardware programs.

• Partner cross-functionally with optics, mechanical, firmware, and manufacturing teams to transition lab-validated methods into scalable, production-ready infrastructure.

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., + Bachelor’s degree in a technical field, or equivalent practical experience.

• 5 years of experience troubleshooting technical issues for internal and external partners.

• 5 years of experience in software and hardware test automation, camera/optical systems validation, or related roles, including experience in mechanical fixture design and prototyping (e.g., 3D printing).

• Experience in system design or reading code (e.g., Python) for optical instrumentation, including cameras, actuators, motorized stages, and lasers/LEDs.

• Experience producing technical design and build documents (e.g., test and validation procedures to support hardware design workflow).

• Experience with camera calibration, computer vision, or optical testing and validation.

Preferred qualifications:

• 8 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc).

In this role, you will be at the intersection of hardware prototyping, robotics and software. You will design and build the physical test infrastructure - fixtures, multi-axis alignment rigs, and automated stages- that lets engineering teams verify sensor performance on XR hardware. You will also build the software that drives it: full-stack tools that control robotic testing and validation setup, capture data, and turn raw measurements into actionable results, and the setups are built to be scalable to be used by internal partners and external vendors. You are equally comfortable at a CAD workstation, a Python terminal, and an optical bench - and can translate a one-off lab setup into a documented, scalable system that other teams and AI-assisted tooling can build on.

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits