Software Engineer AI Jobs in Mountain View, CA
Software Engineer AI jobs in Mountain View are in high demand, concentrated in the North Bayshore tech corridor, downtown Castro Street, and the Shoreline West district, across AI platform development, cloud infrastructure, and autonomous systems. Employers hiring right now include Google, Databricks, and ServiceNow. Find a role that fits below and apply directly.
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Showing 4 of 367+ Software Engineer AI 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 367+ Software Engineer AI Jobs in Mountain View
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Find Software Engineer AI JobsSoftware Engineer AI Job Market in Mountain View
Who's Hiring
- Google105
- Databricks70
- ServiceNow52
- General Motors35
- Nuro17
Top Industries Hiring
- Technology & Software70
- Electronics & Hardware52
- Automotive35
- Artificial Intelligence35
- Banking & Financial Services35
Software Engineer AI Jobs in Mountain View: Frequently Asked Questions
How do I get a software engineer ai job in Mountain View?
Mountain View's AI engineering market centers on large-scale AI platform teams, robotics and autonomous vehicle divisions, and cloud-native infrastructure groups, with the highest concentration of openings in North Bayshore and around Castro Street. Candidates with hands-on experience in LLM fine-tuning, ML infrastructure, or distributed systems have a clear edge here. Building a portfolio with deployed models and contributing to open-source AI projects signals readiness to Mountain View hiring teams.
Which companies hire software engineer ais in Mountain View?
Companies currently hiring software engineer ais in Mountain View include Google, Databricks, and ServiceNow, per current listings on Migrate Mate as of August 2026. Mountain View draws a mix of major tech incumbents with dedicated AI research labs and fast-growing AI-native startups, particularly those focused on foundation models, developer tooling, and enterprise automation.
Are there remote software engineer ai jobs in Mountain View?
Yes, though many roles require on-site collaboration given how heavily Mountain View teams rely on shared compute resources and in-person research cycles. About 29% of software engineer ai openings tied to Mountain View are remote or hybrid as of August 2026, with remote options most common for roles focused on model evaluation, data pipeline engineering, and backend API development rather than lab-based or hardware-adjacent work.
How can I get a software engineer ai job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through AI research engineer or ML platform engineering associate roles at mid-size AI startups in the North Bayshore and Shoreline areas, which tend to have leaner hiring bars than the large incumbents. Entry-level candidates gain traction by contributing to open-source ML frameworks, completing applied AI projects using real datasets, and targeting companies building developer tools or vertical AI applications, where generalist engineering skills transfer quickly into AI-adjacent work.
Which industries hire the most software engineer ais in Mountain View?
Mountain View software engineer ai roles concentrate in Technology & Software, Electronics & Hardware, and Automotive, based on current listings on Migrate Mate as of August 2026. Mountain View's position as a long-established hub for search, cloud platforms, and autonomous technology means these sectors have built dense AI engineering ecosystems that continuously generate new openings across experience levels.
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