Tech Lead Jobs in Mountain View, CA
Tech Lead jobs in Mountain View are concentrated in the Castro Street corridor, the Middlefield Road tech cluster, and the North Bayshore district, with the heaviest demand in cloud infrastructure, developer tooling, and enterprise software. Employers hiring right now include Google, Waymo, and Youtube. See the openings below and apply to the ones that match your experience.
Find Tech Lead JobsOverview
Showing 5 of 133+ Tech Lead jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field.
- 8 years of experience in data structures and algorithms, with experience building distributed, large-scale machine learning systems.
- 3 years of experience in a technical leadership role, defining technical goals, setting roadmap direction, and mentoring executive engineering teams.
- Experience designing and deploying recommendation systems, personalized ranking models, or retrieval systems.
- Expertise in managing the cold-start problem, reinforcement learning, or exploration/exploitation algorithms.
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 Short-form Video team owns everything from the mobile creation experience and related mobile effects (text, stickers, filters,...) , through a new video player experience that provides full screen videos with a quick tap to see the next videos, and through all the backend systems to allow creating and serving these videos and recommending them to users on home, search, and more.
Shorts exploration is a critical part of shorts recommendation with the mission to find an initial audience for fresh videos to enlarge our recommendable corpus and to inspire creation. We leverage various modeling techniques and signals to build initial audiences for fresh videos within the recommendation stack.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
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
- Contribute to personalized quality recommendations and help build and grow a promising new product within Google, focusing on the discovery/recommendation engine and LLM-based recommendation systems.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field.
- 8 years of experience in data structures and algorithms, with experience building distributed, large-scale machine learning systems.
- 3 years of experience in a technical leadership role, defining technical goals, setting roadmap direction, and mentoring executive engineering teams.
- Experience designing and deploying recommendation systems, personalized ranking models, or retrieval systems.
- Expertise in managing the cold-start problem, reinforcement learning, or exploration/exploitation algorithms.
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 Short-form Video team owns everything from the mobile creation experience and related mobile effects (text, stickers, filters,...) , through a new video player experience that provides full screen videos with a quick tap to see the next videos, and through all the backend systems to allow creating and serving these videos and recommending them to users on home, search, and more.
Shorts exploration is a critical part of shorts recommendation with the mission to find an initial audience for fresh videos to enlarge our recommendable corpus and to inspire creation. We leverage various modeling techniques and signals to build initial audiences for fresh videos within the recommendation stack.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
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
- Contribute to personalized quality recommendations and help build and grow a promising new product within Google, focusing on the discovery/recommendation engine and LLM-based recommendation systems.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
See All 133+ Tech Lead Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Tech Lead JobsTech Lead Job Market in Mountain View
Who's Hiring
- Google48
- Waymo19
- Youtube19
- ServiceNow19
- Gatik10
Top Industries Hiring
- Technology & Software
Tech Lead Jobs in Mountain View: Frequently Asked Questions
How do I get a tech lead job in Mountain View?
Target Mountain View's dense concentration of platform and infrastructure companies, particularly those clustered around North Bayshore and the Middlefield Road corridor. Employers here prioritize hands-on distributed systems experience, a history of shipping at scale, and the ability to run technical roadmaps across cross-functional teams. Candidates who can demonstrate both IC depth and early people-management experience consistently stand out in this market.
Which companies hire tech leads in Mountain View?
Mountain View tech lead roles are posted by Google, Waymo, and Youtube and others right now, based on current listings on Migrate Mate as of October 2026. The city draws a mix of large-scale platform companies and growth-stage startups, most of them building developer-facing or consumer technology products.
Are there remote tech lead jobs in Mountain View?
Yes, though remote availability depends heavily on the role. Tech lead positions that involve hands-on architecture reviews, on-call rotations, or close collaboration with hardware teams tend to require in-office presence. About 66% of tech lead openings tied to Mountain View are remote or hybrid as of October 2026, with the highest remote share in backend platform and data engineering roles.
How can I get a tech lead job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is moving up from a senior individual contributor role at one of the city's platform or infrastructure companies. Many employers here promote from within, so joining as a senior engineer on a high-ownership team and taking on technical mentorship and design review work builds the visible record that leads to a lead title. Targeting growth-stage companies in the Middlefield Road area, which often have flatter structures and faster promotion cycles, gives new candidates the clearest route.
Which industries hire the most tech leads in Mountain View?
The sectors hiring the most tech leads in Mountain View are Technology & Software, based on current listings on Migrate Mate as of October 2026. Mountain View's identity as a hub for search, advertising technology, and developer infrastructure means most of that demand flows from companies building at very large scale.
Related Jobs in California
See All 133+ Tech Lead Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Tech Lead Jobs