
Staff Software Engineer, Mobile and On-Device Agentic AI, XR
San Francisco, CAJob$207–300K/yrSeen todaySeen in employer's feed today
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Job overview
Google is building wearable conversational AI across XR devices, combining on-device intelligence with cloud-scale reasoning for proactive, multimodal experiences. The Staff Software Engineer will lead architecture and production deployment of agentic AI systems for Android and iOS, advance the wearable AI stack, and integrate on-device language and multimodal models under mobile and wearable constraints. The role also bridges XR, mobile, on-device ML, and research teams.
Skills & qualifications
Skills
Qualifications
Full job description
Staff Software Engineer, Mobile and On-Device Agentic AI, XR
Share Staff Software Engineer, Mobile and On-Device Agentic AI, XR
corporate_fare Google place San Jose, CA, USA; San Francisco, CA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Share Staff Software Engineer, Mobile and On-Device Agentic AI, XR
info_outline
XIn most instances, this position requires in-person interviews as part of the hiring process.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; San Francisco, CA, USA .
Minimum qualifications:
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Bachelor’s degree or equivalent practical experience.
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8 years of experience in software development.
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Experience integrating generative AI tools or LLM interfaces into workflows.
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5 years of experience with software engineering and large-scale or mobile/embedded ML/AI system architecture and development in C++, Kotlin/Java, Swift/Objective-C, or Python.
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5 years of experience with mobile and on-device ML runtimes and frameworks (e.g., LiteRT/TFLite, AICore, MediaPipe, CoreML or cross-platform C++ runtimes) and hybrid on-device/cloud orchestration.
Preferred qualifications:
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Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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Exceptional cross-organizational influence and communication skills, with a proven ability to align technical strategy and execution across mobile platform (Android/iOS), research (GDM), infrastructure, product management, and hardware/device engineering teams.
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Proven track record leading model and agent hillclimbing (e.g., SFT, RL, LoRA, quantization, prompt/System Instruction tuning, synthetic data generation) and systematic AI quality and performance hillclimbing (architecting automated evaluation frameworks, autoraters, on-device latency/power benchmarks, and end-to-end loss analysis pipelines).
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Demonstrated technical leadership setting technical strategy, architecting foundational systems, and leading multiple engineers or cross-functional teams to deliver complex, ambiguous mobile AI, on-device ML, or agentic initiatives from conception to large-scale production across Android or iOS.
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.
Our team is at the forefront of building the next generation of wearable conversational AI. We are developing multimodal, agentic AI solutions across various XR devices, utilizing Gemini to create a unique, proactive, and trusted multimodal experience. By combining on-device intelligence with cloud-scale reasoning, this technology delivers instant, natural conversational and agentic intelligence directly to the user's eye, ear, and mobile device—operating seamlessly within real-world mobile and wearable system constraints.
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Define the long-term technical solution and lead the architecture, development, and production deployment of scalable, low-latency, multi-turn agentic AI systems across XR devices paired to Android and iOS.
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Drive the foundational evolution wearable AI and agentic tech stack.
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Establish the technical direction and lead the architecture for integrating and optimizing on-device LLMs and multimodal models across Android and iOS platforms.
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Pioneer, prototype, and productionize multimodal AI, agentic reasoning, device-native tool use, and OS/app integrations tailored to always-on streaming audio, video, and mobile context under strict latency and compute constraints.
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Serve as the principal technical point of contact and bridge across XR, Mobile (Android and iOS), On-Device ML (ODML), and GDM teams.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 39,673 open Software Engineer jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This posting$207–300K/yr
- California median$164–244K/yr6,896 salary ranges
- US median$133–217K/yr31,689 salary ranges
This range's midpoint, $254K, is 24% above the California median midpoint ($205K) — in the top quarter of Software Engineer salary ranges in California.
- Openings
- Olive Jobs lists 8,503 open Software Engineer jobs in California and 39,673 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience — more than three in four Software Engineer postings that state a minimum ask for (median 5 years, across 32,700 postings).
- Education
- 12,375 of the 39,673 open Software Engineer jobs (31%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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