Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Google Senior Image Processing Engineer, Google Nest in Mountain View, California

Minimum qualifications:

  • Master’s degree in Electrical Engineering, Computer Science, Imaging Science, Color Science, or equivalent practical experience.

  • 5 years of experience working on consumer cameras and shipping market-leading products.

  • Experience in one or more of the following: Python, Matlab.

Preferred qualifications:

  • PhD in Electrical Engineering, Computer Science, Imaging Science, Color Science, or relevant fields.

  • Experience in C++, Machine Learning (ML), browser based tool development.

  • Knowledge of CMOS image sensors, chip design, factory production process.

  • Understanding of ISP pipeline architecture and individual algorithm blocks.

  • Understanding of Auto White Balance (AWB) and Auto Exposure (AE).

At the Nest Image Processing Team, our goal is to work for the best image quality on Google Nest cameras, whether they are for surveillance, displays, or other applications. We engage in product development cycle from the early stage such as vendor SoC selection, to Image Signal Processing (ISP) performance optimization, automatic exposure/auto white balance algorithm development, and final shipment of the cameras. In this role, you will problem solve and ship excellent camera products to the user.

The Google Nest team focuses on hardware, software, and services for the home, ranging from Nest thermostats to Nest smart displays. The Google Nest team develops, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.

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 (https://careers.google.com/benefits/) .

  • Work on product Image Quality (IQ) tuning, Optimize camera Hardware/Software for the best possible overall performance.

  • Develop Software, Tools for test automation, tuning, or other tools for improved productivity and quality, including ML assisted tools.

  • Manage ISP pipeline related work, IQ benchmark, architectural review, evaluation of individual algorithm blocks.

  • Work cross-functionally with hardware, quality assurance, and other cross-functional teams throughout the product development cycle.

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/OFCCPEEOPost.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.

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