Senior Software Development Engineer Jobs in Mountain View, CA
Senior Software Development Engineer jobs in Mountain View are concentrated along Castro Street, the North Bayshore tech corridor, and the Moffett Field Research Park area, with demand driven by cloud infrastructure, AI platforms, and consumer software. Companies actively hiring include Google, Youtube, and Intuit. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 838+ Senior Software Development Engineer jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
- 8 years of experience testing, maintaining, or launching software products, and 5 years of experience with software design and architecture.
- 8 years of experience with ML/AI algorithms and tools, deep learning or other modeling.
- 7 years of experience leading technical project strategy, ML design, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 2 years of experience with GenAI (e.g., LLMs, multi-modal, vision models, language modeling, computer vision).
Preferred qualifications:
- PhD in Computer Science, Statistics, or related fields.
- Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
- Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
- Deep familiarity with the Search/Shopping/Ads stack, and solid understanding of ML and AI concepts with direct experience applying LLMs in user-facing products.
- Excellent programming skills leveraging GenAI tools, and a strong mindset with extensive experience navigating data-driven decision-making and driving cross-functional alignments.
- Strong mathematical skills with knowledge of statistical methods.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The WebSearch Formats team in Retail Ads owns the end-to-end user experience for Google's flagship shopping ad products on Google.com. We build visual, interactive, and intelligent ad formats to showcase relevant information for billions of shoppers worldwide.
Our full-stack engineering scope spans LLM content generation, evaluation, and serving, as well as system optimizations across the ads quality stack and backend-frontend integration. Partnering closely with stakeholders across Ads, Commerce, and Search, we combine system expertise with generative AI to scale Google’s Retail Ads and build a helpful whole-page shopping experience.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Address open-ended problems at the frontier of Generative AI and retail ad products — such as how to dynamically compose and personalize ad formats in real time to better serve complex queries and mixed intents.
- Influence organization strategy and prioritization by identifying key areas worth investing in and defining the technical roadmap. Co-define product strategy with cross-functional leadership.
- Work closely with Ads Quality, Commerce, and Search stakeholders across the board. Build deep cross-product area partnerships. Optimize the retail ad products ecosystem end-to-end and optimize the whole page layouts.
- Own the holistic technical architecture. Manage complex, multi-quarter, cross-team initiatives from design through launch; proactively diagnose and resolve cross-system bottlenecks; raise the bar on engineering excellence, experimentation velocity, and production reliability.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
- 8 years of experience testing, maintaining, or launching software products, and 5 years of experience with software design and architecture.
- 8 years of experience with ML/AI algorithms and tools, deep learning or other modeling.
- 7 years of experience leading technical project strategy, ML design, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 2 years of experience with GenAI (e.g., LLMs, multi-modal, vision models, language modeling, computer vision).
Preferred qualifications:
- PhD in Computer Science, Statistics, or related fields.
- Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
- Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
- Deep familiarity with the Search/Shopping/Ads stack, and solid understanding of ML and AI concepts with direct experience applying LLMs in user-facing products.
- Excellent programming skills leveraging GenAI tools, and a strong mindset with extensive experience navigating data-driven decision-making and driving cross-functional alignments.
- Strong mathematical skills with knowledge of statistical methods.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The WebSearch Formats team in Retail Ads owns the end-to-end user experience for Google's flagship shopping ad products on Google.com. We build visual, interactive, and intelligent ad formats to showcase relevant information for billions of shoppers worldwide.
Our full-stack engineering scope spans LLM content generation, evaluation, and serving, as well as system optimizations across the ads quality stack and backend-frontend integration. Partnering closely with stakeholders across Ads, Commerce, and Search, we combine system expertise with generative AI to scale Google’s Retail Ads and build a helpful whole-page shopping experience.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Address open-ended problems at the frontier of Generative AI and retail ad products — such as how to dynamically compose and personalize ad formats in real time to better serve complex queries and mixed intents.
- Influence organization strategy and prioritization by identifying key areas worth investing in and defining the technical roadmap. Co-define product strategy with cross-functional leadership.
- Work closely with Ads Quality, Commerce, and Search stakeholders across the board. Build deep cross-product area partnerships. Optimize the retail ad products ecosystem end-to-end and optimize the whole page layouts.
- Own the holistic technical architecture. Manage complex, multi-quarter, cross-team initiatives from design through launch; proactively diagnose and resolve cross-system bottlenecks; raise the bar on engineering excellence, experimentation velocity, and production reliability.
See All 838+ Senior Software Development Engineer Jobs in Mountain View
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Find JobsSenior Software Development Engineer Job Market in Mountain View
Who's Hiring
- Google386
- Youtube93
- Intuit67
- Microsoft40
- CYNGN27
Top Industries Hiring
- Technology & Software
Senior Software Development Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a senior software development engineer job in Mountain View?
Focus your search on Mountain View's North Bayshore corridor and the Castro Street office clusters, where cloud, AI, and developer-tools companies concentrate their engineering headcount. Companies here tend to prioritize system design depth, distributed systems experience, and ownership of full product cycles. Candidates who can demonstrate production-scale impact, not just individual contributions, move faster through interviews at Mountain View employers than those with general software backgrounds.
Which companies hire senior software development engineers in Mountain View?
Mountain View senior software development engineer roles are posted by Google, Youtube, and Intuit and others right now, based on current listings on Migrate Mate as of September 2026. Mountain View's employer mix skews toward large technology platform companies and well-funded growth-stage software firms, both of which tend to maintain standing senior engineering headcount year-round.
Are there remote senior software development engineer jobs in Mountain View?
Yes, though remote availability depends on team structure. About 69% of senior software development engineer openings tied to Mountain View are remote or hybrid as of September 2026, reflecting how broadly distributed engineering teams have become across Mountain View's tech employers. Backend platform and data engineering roles tend to offer the most remote flexibility, while roles tied to hardware, lab infrastructure, or cross-functional product embedding typically require on-site presence.
How can I get a senior software development engineer job in Mountain View with little or no experience?
The most realistic path is securing a mid-level software engineer role at a Mountain View company first, then building toward a senior promotion internally. Mountain View's platform and infrastructure teams frequently hire associate and mid-level engineers who grow into senior scope within two to three years. Contributing to open-source projects used by Mountain View employers, completing rotations in high-visibility product areas, and building familiarity with the systems design patterns common to large-scale cloud products all strengthen a promotion case locally.
Which industries hire the most senior software development engineers in Mountain View?
Most senior software development engineer openings in Mountain View sit in Technology & Software, per current listings on Migrate Mate as of September 2026. Mountain View's position as home to major cloud and AI platform operations means these sectors sustain consistent senior engineering demand rather than hiring only in growth cycles.
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See All 838+ Senior Software Development Engineer Jobs in Mountain View
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