Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 3 days ago

Staff Product Engineer, Opto-Mechanical Modules

Google3,473 open roles

Where
Fremont, CA, USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowStaff Product Engineer, Opto-Mechanical ModulesGoogle · Fremont, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 29 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 3 days ago

Google median: 29 days open

The posting

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Optical Engineering, Physics, Mechanical Engineering, or equivalent practical experience.
  • 6 years of experience working in a product engineering role for display or semiconductor products.
  • 3 years of experience in technical leadership.
  • Experience setting product specifications (ERS/ICD), designing characterization experiments (DOE), and defining production binning and calibration strategies.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Optical Sciences, Physics, Computer Engineering, or a related field.
  • 12 years of industry experience specializing in product engineering or module integration for augmented reality /virtual reality (AR/VR) displays, optical engines, or high-precision optoelectronic systems.
  • Experience in electro-optical module integration, encompassing optical, mechanical, semiconductor, quality, reliability, and thermal domains.
  • Proficiency with statistical data modeling and automation tools (JMP, Python, MATLAB, SQL, R) for yield modeling, parametric analysis, and Monte Carlo simulations.
  • Track record of guiding complex NPI optoelectronic modules from initial prototype bring-up to high-volume manufacturing.

About the job

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 glasses pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. By integrating micro-displays, optics, and opto-mechanical modules like cameras and Display Sub-Assemblies (DSAs), our team delivers high-performance and delightful hardware experiences.

Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Drive system-level integration, comprehensive characterization, and yield optimization for Light Engine Assemblies (LEAs).
  • Establish, align, and maintain technical documentation, including Engineering Requirement Specifications (ERS), Interface Control Documents (ICDs), product datasheets, and test protocols.
  • Support advanced validation and verification (V&V), Design of Experiments (DOEs), and corner characterization across optical, electrical, and thermal domains to resolve complex multi-system interactions.
  • Deliver continuous yield improvements using statistical data modeling, failure analysis, root-cause determination, and corrective actions (FA/RC/CA) to create tight feedback loops between manufacturing and design.
  • Collaborate cross-functionally with design, test engineering, quality, operations, and manufacturing teams, effectively escalating critical issues as required.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Google's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Google's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Google's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.