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  • The site is refreshed daily to remove out-of-date content.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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Google Staff Software Engineer, Machine Learning, Google Pixel Watch in Mountain View, California

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development, and with data structures/algorithms.

  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

  • 5 years of experience with machine learning algorithms and tools, or applied ML

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.

  • 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.

  • Experience using digital signal processing techniques, working with sensor data (e.g. accelerometer data), and writing and deploying features in C++.

  • Experience optimizing and launching machine learning (ML) based features on consumer electronics products.

  • Experience with real-time operating systems (e.g. Android).

As a Staff Software Engineer, you will develop on-device machine learning algorithms for our next generation Pixel Watches. You will work with Product, UXD, UXR, Quality Assurance, and other engineering teams to ideate, create, and deliver high quality ML based experiences for our users. In addition to your direct contributions, you will serve as the technical lead for algorithm development efforts on the team, consulting and providing mentorship to other algorithm developers.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $189,000-$284,000 + 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/) .

  • Develop user-facing features powered by ML algorithms. Experiment, fine tune, and deploy features that run on-device in low power, memory constrained environments.

  • Work with UXR teams to define and collect user data, build and train ML models using various techniques, and evaluate their performance. Refine and iterate models based on feedback from product managers, user studies and feedback, and production.

  • Optimize for the device and user. Understand the tradeoffs between algorithm accuracy, power, compute, memory, and latency, and make optimization decisions based on an understanding of the big picture.

  • Serve as technical lead for algorithm development on the team. Guide and mentor other developers, and stay up to date with the latest advancements in machine learning techniques and tools and help grow the team's expertise. Develop a technical roadmap of new features and feature improvements.

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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