Software Engineer, Processor Design Infrastructure, Quantum AI
Listing collected from Google's career site. NextChapter is independent of Google.
Goleta, CA · Posted November 12, 2026
Just laid off? Start here: a plan for the first weeks
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Data & Analytics jobs in the rankings
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 696 open software engineer listings that state pay, the middle half runs $168,000 to $251,000 and the median is $201,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Google has filed one layoff notice in the last twelve months, covering 52 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
Skills this job asks for
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About the job
Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Physics, a related technical field, or equivalent practical experience. 2 years of software development experience in Python, C++, Go, or Rust (or 1 year of experience with an advanced degree), including experience with Python. 2 years of experience building CI/CD pipelines, build systems, or developer infrastructure. Experience with Linux, Git version control, and automated testing.