Senior AI Software Engineer Jobs in Sunnyvale, CA
Senior AI Software Engineer jobs in Sunnyvale, California are concentrated in the Lawrence Expressway corridor, Downtown Sunnyvale, and the Peery Park tech district, with strong demand from employers across semiconductors, cloud infrastructure, and consumer AI. Employers actively hiring right now include Google, Apple, and Cerebras Systems. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 20+ Senior AI Software Engineer jobs
Minimum qualifications:
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages.
- 4 years of experience leading projects, and providing technical leadership.
- 3 years of experience in designing, analyzing, and troubleshooting distributed systems.
- Experience with machine learning/AI in a software development environment.
Preferred qualifications:
- Master's degree in Computer Science or Engineering.
About the job
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.
As a part of the Workspace AI SRE team, your mission is to safely and responsibly enable rapid iteration of high-quality AI (e.g. Gemini) services and features using common infrastructure within Workspace. You will partner with development teams to ensure new AI-powered features for products like Gmail, Docs, Meet, and more are reliable, scalable, and efficient. As Workspace AI products move fast to stay competitive, SRE plays a critical role in building the necessary automation and safety guardrails.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Own the architecture and design of the inference and training AI infrastructure from SRE side, ensuring it is reliable, scalable, cost effective and performant, while working closely with senior technical leads in the development teams.
- Drive AI-first development to help the team leapfrog in its current efforts, serving as the AI advocate who introduce new and novel ways of working.
- Lead the on-call response to production incidents, driving blameless postmortems and ensuring preventative measures are implemented.
- Engage broadly with SRE leaders across other product teams to ensure the best scalable solutions for all of Google, acting as the conduit to bring solutions in and take them across Google.
Minimum qualifications:
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages.
- 4 years of experience leading projects, and providing technical leadership.
- 3 years of experience in designing, analyzing, and troubleshooting distributed systems.
- Experience with machine learning/AI in a software development environment.
Preferred qualifications:
- Master's degree in Computer Science or Engineering.
About the job
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.
As a part of the Workspace AI SRE team, your mission is to safely and responsibly enable rapid iteration of high-quality AI (e.g. Gemini) services and features using common infrastructure within Workspace. You will partner with development teams to ensure new AI-powered features for products like Gmail, Docs, Meet, and more are reliable, scalable, and efficient. As Workspace AI products move fast to stay competitive, SRE plays a critical role in building the necessary automation and safety guardrails.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Own the architecture and design of the inference and training AI infrastructure from SRE side, ensuring it is reliable, scalable, cost effective and performant, while working closely with senior technical leads in the development teams.
- Drive AI-first development to help the team leapfrog in its current efforts, serving as the AI advocate who introduce new and novel ways of working.
- Lead the on-call response to production incidents, driving blameless postmortems and ensuring preventative measures are implemented.
- Engage broadly with SRE leaders across other product teams to ensure the best scalable solutions for all of Google, acting as the conduit to bring solutions in and take them across Google.
See All 20 Senior AI Software Engineer Jobs in Sunnyvale
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Find JobsSenior AI Software Engineer Job Market in Sunnyvale
Who's Hiring
- Google10
- Apple2
- Cerebras Systems2
- Uber1
- Bosch1
Top Industries Hiring
- Technology & Software
- Artificial Intelligence
- Electronics & Hardware
Senior AI Software Engineer Jobs in Sunnyvale: Frequently Asked Questions
How do I get a senior ai software engineer job in Sunnyvale?
Focus your search on Sunnyvale's dense cluster of semiconductor companies, cloud platform teams, and consumer electronics labs along the Lawrence Expressway and Peery Park corridors. Hands-on experience with LLM fine-tuning, MLOps pipelines, or on-device AI gives candidates a clear edge here, since many local teams ship models directly into hardware products. Targeting mid-size AI-native startups in the area alongside the larger platform employers broadens your options considerably.
Which companies hire senior ai software engineers in Sunnyvale?
Employers hiring senior ai software engineers in Sunnyvale right now include Google, Apple, and Cerebras Systems, based on current listings on Migrate Mate as of November 2026. Sunnyvale's employer mix runs from large semiconductor and networking firms to growth-stage AI product companies, many with dedicated applied research and MLOps teams.
Are there remote senior ai software engineer jobs in Sunnyvale?
Yes, though availability depends on the role: positions tied to proprietary hardware, on-chip inference, or secure lab environments tend to be on-site, while applied research and platform engineering roles often allow hybrid or fully remote arrangements. About 67% of senior ai software engineer openings tied to Sunnyvale are remote or hybrid as of November 2026, with model training and MLOps roles being the most flexible. Cloud and data platform teams in the area have been especially consistent about offering hybrid schedules.
How can I get a senior ai software engineer job in Sunnyvale with little or no experience?
The most realistic path is moving into a mid-level machine learning engineer or AI platform engineer role at one of Sunnyvale's many growth-stage companies, which tend to hire engineers who can grow with the team rather than requiring a decade of applied AI experience. Contributing to open-source ML tooling, building a portfolio of fine-tuned model projects, or completing a rotational program at a larger Sunnyvale networking or semiconductor firm are all concrete entry points. Smaller AI-native product companies in the area are generally more open to candidates with strong fundamentals but limited professional AI experience.
Which industries hire the most senior ai software engineers in Sunnyvale?
The sectors hiring the most senior ai software engineers in Sunnyvale are Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. Sunnyvale's position as a hub for semiconductor design, enterprise networking, and consumer electronics means AI engineering talent is in demand at every layer of the product stack, from silicon to application.
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