AI Software Developer Jobs in Mountain View, CA
AI Software Developer jobs in Mountain View are in high demand, concentrated in the North Bayshore tech corridor, Middlefield Road district, and the Castro Street commercial core, across enterprise AI, autonomous systems, and cloud infrastructure. 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 368+ AI Software Developer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software programming in C++, Java, Python or Go.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with developing large-scale systems or experience building Android infrastructure from end-to-end.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- 1 year of experience in Android development.
- Experience developing Machine learning/Artificial Intelligence/Agentic experiences.
- Experience with on-device machine learning execution.
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.
The Pixel team builds system-integrated experiences that define the Pixel smartphones. We bridge the gap between advanced on-device AI models and the native Android OS, creating deeply integrated, intelligent features like Magic Cue and Pixel Screenshots.
In this role, you will lead the architecture, design, and implementation of core on-device infrastructure that powers agentic and AI-driven user experiences.
You will build robust system-level frameworks and IPC/APIs that feed rich device context into on-device AI pipelines, enable multi-modal intent execution, and interface directly with native Android platform subsystems. You will work closely with partner teams across Pixel Software, Android Platform, and AI/ML to deliver end-to-end, delightful features that ship directly to Pixel users.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Architect and build high-performance on-device infrastructure to support intelligent workflows and AI experiences.
- Design system services and APIs to harvest and process rich, privacy-preserving device context to enable proactive AI interactions.
- Partner closely with Pixel product teams, Android OS platform engineers, and AI research teams to land OS-level integrations and establish scalable system boundaries. Optimize on-device pipelines for low latency, minimal memory footprint, and high power efficiency.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software programming in C++, Java, Python or Go.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with developing large-scale systems or experience building Android infrastructure from end-to-end.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- 1 year of experience in Android development.
- Experience developing Machine learning/Artificial Intelligence/Agentic experiences.
- Experience with on-device machine learning execution.
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.
The Pixel team builds system-integrated experiences that define the Pixel smartphones. We bridge the gap between advanced on-device AI models and the native Android OS, creating deeply integrated, intelligent features like Magic Cue and Pixel Screenshots.
In this role, you will lead the architecture, design, and implementation of core on-device infrastructure that powers agentic and AI-driven user experiences.
You will build robust system-level frameworks and IPC/APIs that feed rich device context into on-device AI pipelines, enable multi-modal intent execution, and interface directly with native Android platform subsystems. You will work closely with partner teams across Pixel Software, Android Platform, and AI/ML to deliver end-to-end, delightful features that ship directly to Pixel users.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Architect and build high-performance on-device infrastructure to support intelligent workflows and AI experiences.
- Design system services and APIs to harvest and process rich, privacy-preserving device context to enable proactive AI interactions.
- Partner closely with Pixel product teams, Android OS platform engineers, and AI research teams to land OS-level integrations and establish scalable system boundaries. Optimize on-device pipelines for low latency, minimal memory footprint, and high power efficiency.
See All 368+ AI Software Developer Jobs in Mountain View
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Find AI Software Developer JobsAI Software Developer Job Market in Mountain View
Who's Hiring
- Google110
- Databricks74
- ServiceNow55
- General Motors37
- Nuro18
Top Industries Hiring
- Technology & Software74
- Electronics & Hardware55
- Automotive37
- Artificial Intelligence37
- Banking & Financial Services37
AI Software Developer Jobs in Mountain View: Frequently Asked Questions
How do I get a ai software developer job in Mountain View?
Focus your search on Mountain View's dense concentration of AI-native companies, semiconductor firms, and cloud platform teams in the North Bayshore and Middlefield Road corridors. Hands-on experience with large language models, MLOps pipelines, or real-time inference systems stands out strongly here. Targeting roles at mid-stage startups headquartered in Mountain View often yields faster hiring cycles than applying to the largest campuses, where competition is steepest.
Which companies hire ai software developers in Mountain View?
Companies currently hiring ai software developers in Mountain View include Google, Databricks, and ServiceNow, per current listings on Migrate Mate as of August 2026. Mountain View's employer mix skews heavily toward established tech platforms and well-funded AI-focused startups, many with dedicated machine learning and applied research teams.
Are there remote ai software developer jobs in Mountain View?
Yes, though hybrid arrangements are far more common than fully remote, since many Mountain View teams prefer regular in-person collaboration on model development and infrastructure work. About 29% of ai software developer openings tied to Mountain View are remote or hybrid as of August 2026, with full flexibility most often attached to data pipeline, evaluation tooling, and backend inference roles.
How can I get a ai software developer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through an AI or ML infrastructure internship at a mid-size product company, which frequently converts to full-time roles. Look for junior AI engineer or applied ML associate titles at growth-stage startups along the North Bayshore corridor, where smaller teams give early-career candidates broader ownership. Contributing to open-source AI tooling and building a public project portfolio measurably strengthens local applications.
Which industries hire the most ai software developers in Mountain View?
The sectors hiring the most ai software developers in Mountain View are Technology & Software, Electronics & Hardware, and Automotive, based on current listings on Migrate Mate as of August 2026. Mountain View's position at the center of Silicon Valley means these sectors cluster locally in unusually high density, driving consistent and competitive hiring volume throughout the year.
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