Senior AI Software Engineer Jobs in Mountain View, CA
Senior AI Software Engineer jobs in Mountain View are concentrated along Castro Street, the North Bayshore tech corridor, and the Middlefield Road office clusters, with the heaviest demand coming from large-scale AI research, cloud infrastructure, and developer tooling organizations. Employers hiring right now include Google, Databricks, and ServiceNow. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 378+ Senior AI Software Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience in data analytical tools or data analysis (e.g., SQL, Python, Business Intelligence, dashboards).
- Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 1 year of experience in AI/ML research and Generative AI agent development.
- 1 year of experience with system design.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience with Rasta, coLaboratory, business intelligence platform, or C++.
- Experience to collaborate across teams to drive product requirements and system designs.
- Understanding of the search stack.
- Ability to understand dynamic UI generation via Domain-Specific Language (DSL).
- Ability to analyze Side-by-Side (SxS) evaluations, find loss patterns, and propose prompt changes to reduce losses.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience in data analytical tools or data analysis (e.g., SQL, Python, Business Intelligence, dashboards).
- Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 1 year of experience in AI/ML research and Generative AI agent development.
- 1 year of experience with system design.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience with Rasta, coLaboratory, business intelligence platform, or C++.
- Experience to collaborate across teams to drive product requirements and system designs.
- Understanding of the search stack.
- Ability to understand dynamic UI generation via Domain-Specific Language (DSL).
- Ability to analyze Side-by-Side (SxS) evaluations, find loss patterns, and propose prompt changes to reduce losses.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
See All 378+ Senior AI Software Engineer Jobs in Mountain View
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Find JobsSenior AI Software Engineer Job Market in Mountain View
Who's Hiring
- Google144
- Databricks54
- ServiceNow54
- General Motors36
- Nuro18
Top Industries Hiring
- Technology & Software72
- Electronics & Hardware54
- Automotive36
- Artificial Intelligence36
- Banking & Financial Services36
Senior AI Software Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a senior ai software engineer job in Mountain View?
Mountain View's market favors candidates with hands-on experience in large language models, reinforcement learning, or ML infrastructure, since the city's employer base skews toward AI-first product companies and foundational research labs rather than enterprise IT shops. Targeting roles in North Bayshore and the Castro Street corridor gives you access to the densest concentration of AI teams. A public portfolio of shipped models or published research carries more weight here than it does in most other cities.
Which companies hire senior ai software engineers in Mountain View?
Employers hiring senior ai software engineers in Mountain View right now include Google, Databricks, and ServiceNow, based on current listings on Migrate Mate as of August 2026. Mountain View attracts a mix of established tech giants with dedicated AI divisions and well-funded startups building purpose-built AI products across search, productivity, and autonomous systems.
Are there remote senior ai software engineer jobs in Mountain View?
Yes, though senior ai software engineer roles tied to Mountain View lean more toward hybrid than fully remote, given how many local employers prioritize in-person collaboration for model development and infrastructure work. About 29% of senior ai software engineer openings tied to Mountain View are remote or hybrid as of August 2026, with fully remote options appearing most often in roles focused on applied research, evaluation, or ML platform engineering rather than core model training.
How can I get a senior ai software engineer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through AI research internships or associate ML engineer roles at the city's larger tech campuses, where structured rotations and mentorship programs are common. Smaller AI startups concentrated near Castro Street often hire strong generalist engineers who can grow into senior responsibilities quickly. Contributing to open-source AI frameworks and completing project-based graduate coursework helps candidates stand out with Mountain View employers who review portfolios closely.
Which industries hire the most senior ai software engineers in Mountain View?
Mountain View senior ai software engineer roles concentrate in Technology & Software, Electronics & Hardware, and Automotive, based on current listings on Migrate Mate as of August 2026. Mountain View's identity as a global hub for internet search, cloud computing, and AI-native product development means those sectors generate consistent, high-volume demand for senior engineering talent year-round.
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