Staff Software Engineer, Youtube Ads Surfaces and Experiences
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastr…
Skills: Software Development, Machine Learning, System Architecture, Distributed Systems, GenAI
At Branch, we power every touchpoint with links that work and insights that prove it. From click to conversion, we make growth measurable. Our unparalleled attribution, backed by AI-enhanced linking, is trusted to delive…
Mountain View, California, United States · On-site
$138k–$197k/yr
Mid level$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience in product management. Preferred qualifications: Master’s degree in a technology or business related field. 2 years of e…
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior+$26M raised
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 …
Skills: Software development, Machine learning, C++, Python, System design
Mountain View, California, United States · On-site
$123k–$174k/yr
Mid level$26M raised
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Customer Success Engineer, Robotics Software and Automation
Mountain View, California, United States · On-site
$132k–$180k/yr
Senior
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Mountain View, California, United States · On-site
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Autofocus and Optical Image Stabilization Control System Architect
Mountain View, California, United States · On-site
$188k–$274k/yr
Senior$26M raised
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Skills: Autofocus, Optical Image Stabilization, Control Systems, System-level Co-design, Simulink
Mountain View, California, United States · On-site
$122k–$168k/yr
Senior$32B raised
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Mountain View, California, United States · On-site
$190k–$220k/yr
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At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminati…
Senior Machine Learning Engineer, Data Infrastructure
Mountain View, California, United States · On-site
$200k–$261k/yr
Senior$2.9B raised
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Sr. Partner Development Manager - Strategic, WW - ISV, Partner Development Manager Cisco/Splunk Partnership
Mountain View, California, United States · On-site
$163k–$220k/yr
Senior$67M raised
Amazon Web Services (AWS) is leading the next paradigm shift in computing and is looking for a world class candidate to engage with a strategic AWS Independent Software Vendor (ISV) Partner. Your job will be to work with…
Mountain View, California, United States · On-site
$165k–$224k/yr
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Mountain View, California, United States · On-site
$166k–$251k/yr
Senior$2.9B raised
The Opportunity Unity Vector represents the next generation of our AI-powered advertising ecosystem, a forward-looking evolution of our machine learning infrastructure and models. We are seeking a Senior Machine Learning…
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Administrative Business Partner, GeminiApp, Technical Program Management team
Mountain View, California, United States · On-site
$128k–$137k/yr
Mid level$26M raised
Minimum qualifications: 3 years of experience working with executives or supporting teams on the administrative front. Preferred qualifications: Bachelor's degree or equivalent practical experience. 3 years of administra…
Mountain View, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, st…
Skills: Software Engineering, Backend Development, Distributed Systems, Infrastructure Development, API Development
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with full-stack software design and architecture. Experience developing consumer-facing applications within e-commerce, …
Skills: Software Architecture, Full-stack Development, E-commerce, Digital Payments, People Management
Mountain View, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
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Skills: C++, Python, Java, Machine Learning, Model Deployment
Group Product Manager, Voice Experiences on Search
Mountain View, California, United States · On-site
$240k–$333k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in product management or a related technical role. 5 years of experience taking technical products from conception to l…
Mountain View, California, United States · On-site
$262k–$364k/yr
Senior+$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and working with industry-…
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$207k–$300k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 3d ago
~40 hrs/week
Responsibilities
Drive the long-term engineering strategy for YouTube Ads by incorporating new AI capabilities and organizational priorities. Lead technical decisions, mentor engineering teams, and ensure system scalability and reliability across cross-functional projects.
Requirements
Requires a bachelor's degree and at least 8 years of software development experience, including significant expertise in ML design and infrastructure. Candidates must demonstrate leadership in technical strategy, architecture, and experience working within advertising systems.
Full job description
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with design and architecture along with testing and launching software products.
Experience working within Ads.
Experience with state of the art GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience leading full stack engineering, distributed systems teams, or quality teams, effectively leading technical strategy and scaling architecture.
Ability to strategically anticipate and mitigate obstacles in ambiguous or rapidly shifting environments.
Exceptional communication and collaboration skills to align agendas and strategy with cross-functional directors and leaders.
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.
In this role, you will be responsible for driving the long-term engineering strategy for enabling format optimizations, new experiences, incorporating organizational business priorities and technological shifts, such as new AI capabilities.
You will act as a de facto authority on major systems and drive the engineering strategy for a critical technical area of great importance to YouTube Ads. Operating with excellent judgment and minimal oversight, you will uncover and address ambiguous, complex, and large-scale technical problems. Your role involves thinking strategically over long time horizons, establishing consensus across divergent teams, and driving technical and process improvements across an organization of over 100+ engineers. You will need to take data driven approaches along with focusing on making our systems scalable, safer, more reliable, and highly robust.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Drive the long-term engineering strategy, incorporating organizational business priorities and technological shifts, such as new AI capabilities.
Own key technical decisions based on your expertise, guiding the team through important design tradeoffs, short term/long term strategy, system health, and risk management.
Identify system hotspots to improve the organization's technical health, ensuring the calculated investments are made to remove widely-felt barriers to productivity/feature throughput.
Invest in growing the next generation of technical leaders through direct coaching and scalable mentorship initiatives.
Work cross-functionally to ensure features are built consistently across different surfaces working closely with other teams, quality, client infrastructure teams while balancing specific platform constraints to make decisions that are best for the business overall.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
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How much do Technology jobs in Mountain View, CA pay?
Based on 1342 listings with disclosed salaries, most technology jobs in Mountain View, CA pay between $135k–$280k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Mountain View, CA right now?
There are currently 1,483 open technology positions in Mountain View, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Mountain View, CA?
Companies currently hiring include Google, Aurora, LinkedIn, Nuro, NewsBreak, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Mountain View, CA?
Yes — 474 of the 1483 open technology positions offer remote or hybrid work (58 remote, 416 hybrid).
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