Staff Engineer Jobs in Mountain View, CA
Staff Engineer jobs in Mountain View are concentrated in the North Bayshore and Shoreline corridors, as well as the Castro Street and Caltrain-adjacent tech cluster, across cloud infrastructure, developer platforms, and applied AI. Employers actively hiring include Google, Intuit, and ServiceNow. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 187+ Staff Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in machine learning, recommendation systems, natural language processing, or a related field.
- Experience building offline and online quality evaluation frameworks for Large Language Models (e.g., LLM-as-a-judge, RLHF, DPO).
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience optimizing machine learning inference, resolving system-level bottlenecks, and improving serving efficiency for low-latency global surfaces.
- Experience integrating large language model quality evaluation frameworks with downstream recommendation signals.
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 Discover Feed Recommendation team leads by recommending AI-generated content (AIGC) to fulfill user interests. As a Staff Machine Learning Engineer focusing on Search AIGC Quality, you will be responsible for AIGC quality control, topic identification, context engineering, and content understanding. You will build the agentic loops and evaluation frameworks needed to ensure factuality, freshness, coherence, and tone for AI-generated content that empowers users across Google's proactive surfaces like Discover and Notifications.
Join Google Search AI and work at the intersection of industry leadingglobal scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build advanced AI-generated content (AIGC) quality frameworks and agentic flows to generate content for proactive surfaces like Discover and Notifications.
- Develop AI-generated content through advanced context engineering and agentic feedback loops to identify and deliver engaging stories globally.
- Conduct advanced quality evaluations and leverage downstream dense recommendation signals and feedback to improve the performance of the AIGC stack.
- Resolve key system-level bottlenecks in recommending and serving AIGC content to optimize efficiency for low-latency surfaces.
- Navigate high ambiguity, drive technical innovation for AIGC quality, and influence the broader organizational machine learning strategy.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in machine learning, recommendation systems, natural language processing, or a related field.
- Experience building offline and online quality evaluation frameworks for Large Language Models (e.g., LLM-as-a-judge, RLHF, DPO).
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience optimizing machine learning inference, resolving system-level bottlenecks, and improving serving efficiency for low-latency global surfaces.
- Experience integrating large language model quality evaluation frameworks with downstream recommendation signals.
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 Discover Feed Recommendation team leads by recommending AI-generated content (AIGC) to fulfill user interests. As a Staff Machine Learning Engineer focusing on Search AIGC Quality, you will be responsible for AIGC quality control, topic identification, context engineering, and content understanding. You will build the agentic loops and evaluation frameworks needed to ensure factuality, freshness, coherence, and tone for AI-generated content that empowers users across Google's proactive surfaces like Discover and Notifications.
Join Google Search AI and work at the intersection of industry leadingglobal scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build advanced AI-generated content (AIGC) quality frameworks and agentic flows to generate content for proactive surfaces like Discover and Notifications.
- Develop AI-generated content through advanced context engineering and agentic feedback loops to identify and deliver engaging stories globally.
- Conduct advanced quality evaluations and leverage downstream dense recommendation signals and feedback to improve the performance of the AIGC stack.
- Resolve key system-level bottlenecks in recommending and serving AIGC content to optimize efficiency for low-latency surfaces.
- Navigate high ambiguity, drive technical innovation for AIGC quality, and influence the broader organizational machine learning strategy.
See All 187+ Staff Engineer Jobs in Mountain View
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Find Staff Engineer JobsStaff Engineer Job Market in Mountain View
Who's Hiring
- Google38
- Intuit38
- ServiceNow20
- Databricks13
- Unity Technologies7
Top Industries Hiring
- Technology & Software28
- Electronics & Hardware7
- Artificial Intelligence5
- Retail4
- Automotive3
Staff Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a staff engineer job in Mountain View?
Focus your search on Mountain View's North Bayshore corridor and the dense cluster of technology companies near the Caltrain station, where demand for staff engineers in distributed systems, platform engineering, and machine learning infrastructure is highest. Candidates who show cross-functional technical leadership and a history of setting architectural direction tend to stand out, since Mountain View employers at this level expect engineers who mentor across teams and influence product roadmaps, not just deliver features.
Which companies hire staff engineers in Mountain View?
Companies currently hiring staff engineers in Mountain View include Google, Intuit, and ServiceNow, per current listings on Migrate Mate as of November 2026. Mountain View's employer mix skews heavily toward established technology companies and growth-stage startups in cloud, consumer software, and hardware, many of which maintain their headquarters or primary engineering offices in the city.
Are there remote staff engineer jobs in Mountain View?
Yes, though remote availability depends on the team: roles tied to hardware, on-site infrastructure, or lab environments are almost always in-person, while platform, backend, and tooling roles are more commonly offered with flexibility. About 47% of staff engineer openings tied to Mountain View are remote or hybrid as of November 2026, with hybrid arrangements most common at larger employers along the North Bayshore corridor who require periodic on-site collaboration.
How can I get a staff engineer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is landing a senior software engineer role first, since staff engineer is a level that most local companies require you to grow into internally or arrive at with demonstrated scope from a comparable company. Mountain View's concentration of mid-size technology companies and well-funded startups near Castro Street and Shoreline often hire senior engineers with the explicit expectation of fast promotion, making them a more accessible starting point than the largest hyperscalers for candidates building toward staff-level scope.
Which industries hire the most staff engineers in Mountain View?
Mountain View staff engineer roles concentrate in Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. Mountain View's position as a long-standing technology hub, with major campuses for cloud and consumer internet companies anchoring its business districts, drives sustained demand for staff-level engineering talent across those sectors year-round.
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See All 187+ Staff Engineer Jobs in Mountain View
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