Senior Software Developer Jobs in Mountain View, CA
Senior Software Developer jobs in Mountain View are in strong demand, concentrated in the Castro City corridor, Shoreline West, and the North Bayshore technology cluster across cloud infrastructure, consumer AI, and enterprise SaaS. Employers 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 836+ Senior Software Developer 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 836+ Senior Software Developer Jobs in Mountain View
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Find JobsSenior Software Developer Job Market in Mountain View
Who's Hiring
- Google373
- Youtube90
- Intuit64
- AURORA39
- Microsoft39
Top Industries Hiring
- Technology & Software
Senior Software Developer Jobs in Mountain View: Frequently Asked Questions
How do I get a senior software developer job in Mountain View?
Focus on Mountain View's dominant hiring pockets: large technology campuses in North Bayshore, growth-stage SaaS companies along Castro Street, and semiconductor and hardware-adjacent firms near Shoreline. Candidates with deep experience in distributed systems, machine learning infrastructure, or cloud-native development stand out most. Demonstrating prior work at a recognizable technology company and bringing a strong portfolio of shipped products gives you a concrete edge with Mountain View hiring managers.
Which companies hire senior software developers in Mountain View?
Mountain View senior software developer 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 attracts a mix of global technology giants, well-funded Series B and C startups, and established enterprise software firms, all of which hire senior engineers on a rolling basis throughout the year.
Are there remote senior software developer jobs in Mountain View?
Yes, though availability depends on the employer and team. About 74% of senior software developer openings tied to Mountain View are remote or hybrid as of September 2026, which reflects how common flexible arrangements have become for backend, platform, and data engineering roles. On-site expectations are more common for roles tied to hardware development or teams that rely heavily on in-person collaboration at Mountain View campuses.
How can I get a senior software developer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is landing a junior or mid-level software engineering role at a growth-stage startup along the Castro Street corridor or a large technology employer with structured engineering rotations. Contributing to open-source projects, building a public GitHub portfolio, and targeting companies known for strong mentorship programs improves your chances significantly. Associate or software engineer I positions at established Mountain View technology firms are the most common stepping stones to senior roles.
Which industries hire the most senior software developers in Mountain View?
Mountain View senior software developer roles concentrate in Technology & Software, based on current listings on Migrate Mate as of September 2026. Mountain View's position at the center of Silicon Valley means technology, consumer internet, and enterprise software companies maintain large and consistently active engineering headcounts, making it one of the densest local markets for senior-level software development roles in the country.
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See All 836+ Senior Software Developer Jobs in Mountain View
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