Staff Software Developer Jobs in Mountain View, CA
Staff Software Developer jobs in Mountain View are in high demand, concentrated in the Castro City corridor, Middlefield Road tech cluster, and the North Bayshore district across cloud infrastructure, AI platforms, and consumer technology. Employers hiring right now include Google, Intuit, and Databricks. Find a role that fits below and apply directly.
Find Staff Software Developer JobsOverview
Showing 5 of 110+ Staff Software Developer 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 110+ Staff Software Developer Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Staff Software Developer JobsStaff Software Developer Job Market in Mountain View
Who's Hiring
- Google34
- Intuit26
- Databricks11
- ServiceNow6
- CYNGN3
Top Industries Hiring
- Technology & Software17
- Electronics & Hardware4
- Artificial Intelligence3
- Automotive2
- Transportation & Logistics2
Staff Software Developer Jobs in Mountain View: Frequently Asked Questions
How do I get a staff software developer job in Mountain View?
The strongest path is targeting Mountain View's dense concentration of cloud, AI, and consumer tech employers, particularly those anchored in North Bayshore and along Castro Street. Candidates with distributed systems, ML infrastructure, or platform engineering backgrounds stand out here. Contributing to open-source projects, building a public portfolio on GitHub, and networking at local tech meetups in the South Bay give you a clear edge over applicants applying cold.
Which companies hire staff software developers in Mountain View?
Companies currently hiring staff software developers in Mountain View include Google, Intuit, and Databricks, per current listings on Migrate Mate as of November 2026. Mountain View draws a mix of large technology anchors, mid-size SaaS companies, and well-funded startups, particularly in AI research, developer tools, and enterprise cloud services.
Are there remote staff software developer jobs in Mountain View?
Yes, though many Mountain View staff software developer roles expect significant on-site collaboration given the density of engineering-led teams in the area. About 37% of staff software developer openings tied to Mountain View are remote or hybrid as of November 2026, with backend infrastructure and platform roles being the most likely to offer flexible arrangements compared to product-embedded or hardware-adjacent positions.
How can I get a staff software developer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through associate or mid-level software engineering roles at growth-stage companies and enterprise tech firms in the North Bayshore and Middlefield Road corridors, which often promote from within. Internships at Mountain View's larger tech employers, rotational engineering programs, and roles on internal tooling or developer experience teams are common stepping stones that lead to staff-level positions over time.
Which industries hire the most staff software developers in Mountain View?
Mountain View staff software developer roles concentrate in Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. Mountain View's identity as a hub for internet-scale platforms, AI research, and enterprise software means demand for senior engineering talent remains consistently high across these sectors regardless of broader hiring cycles.
Related Jobs in California
See All 110+ Staff Software Developer Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Staff Software Developer Jobs