Image Processing Engineer, Display Metrology, Raxium

Google; Fremont (CA); On-site; USD 147,000 - 216,000; Full time

Job summary

An innovative firm is seeking an Image Processing Engineer to develop advanced algorithms for microLED panel performance analysis. This role involves collaborating with cross-functional teams to enhance image analysis solutions, ensuring optimal performance for next-generation displays. If you have a strong foundation in image processing and a passion for technology, this position offers a unique opportunity to contribute to groundbreaking display technology. Join a dynamic team that is committed to pushing the boundaries of visual experiences and making a significant impact in the industry.

Benefits

Bonus

Equity

Comprehensive Benefits

Qualifications

• Bachelor's degree in a related field or equivalent practical experience.
• 4 years in image processing or 3 years with an advanced degree.

Responsibilities

• Design and optimize image processing algorithms for various applications.
• Collaborate with teams to integrate image processing into larger systems.

Skills

Image Processing

Test Automation Frameworks

GPU Programming

Machine Learning

Advanced Programming

Education

Bachelor’s degree in Physics, Electrical Engineering, Computer Science, or related field

Job description

Minimum qualifications:

1. Bachelor’s degree in Physics, Electrical Engineering, Computer Science, Computer Vision, a related field, or equivalent practical experience.
2. 4 years of experience working in an image processing/analyses or image segmentation technical environment, or 3 years of experience with an advanced degree.
3. Experience in building test automation frameworks and tools.

Preferred qualifications:

1. Experience with GPU programming.
2. Experience with machine learning or advanced programming.

MicroLED displays pose several unique challenges for accurate response measurement. As an Image Processing Engineer, you will focus on developing and implementing advanced algorithms for image analysis, enhancement, and manipulation for microLED panel performance analysis. You will possess a strong theoretical foundation in image processing, coupled with practical experience in software development.

In this role, you will collaborate with multiple teams to develop metrology solutions for our next-generation displays. You will work closely with test development engineers and data consumers to ensure optimal image analysis. Test solutions must be effective in panel calibration and the computation time must be optimized to enable in-line processing.

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.

The US base salary range for this full-time position is $147,000-$216,000 + 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 (https://careers.google.com/benefits/).

Responsibilities:

1. Design, develop, and optimize image processing algorithms for various applications, including emitter registration and defect identification.
2. Implement and test image analyses for tasks such as object detection, image segmentation, and feature extraction. Document and code algorithms effectively.
3. Analyze and improve the performance of existing image processing systems.
4. Collaborate with cross-functional teams to integrate image processing solutions into larger systems.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.