Senior Staff Software Engineer, Agentic AI for XR

Senior Staff Software Engineer, Agentic AI for XR

Share Senior Staff Software Engineer, Agentic AI for 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 Senior Staff Software Engineer, Agentic AI for XR

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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:

• 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 end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 5 years of experience with one or more of the following: on-device models (LLMs and multimodal models) and Multimodal AI agents, including architecting systemic solutions for strict mobile and wearable system constraints (memory/RAM limits, thermal envelopes, battery/power budgets, real-time latency, and Android/iOS background execution lifecycles).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures and algorithms.

• Expertise across mobile and on-device ML runtimes, compilers, and frameworks (e.g., LiteRT/TFLite, AICore, MediaPipe, CoreML, hardware accelerators/NPUs, or cross-platform C++ runtimes).

• Track record directing organization-wide model and agent hillclimbing (e.g., model co-design, distillation, quantization, LoRA, prompt/System Instruction architecture, synthetic data ecosystems) and systematic AI quality and performance hillclimbing.

• Ability to align multi-year technical strategy and execution across executive leadership in mobile platform (Android/iOS), research (GDM), silicon/hardware, infrastructure, and product management.

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.

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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.

• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

• Set the organization-wide technical direction and architectural standards for integrating, co-designing, and optimizing on-device Large Language Models (LLMs) and multimodal models across Android and iOS platforms.

• Define and execute the end-to-end strategy for data curation, automated evaluation, System Instructions (SI), agent configuration, model quantization/adaptation, and post-training of Gemini and on-device models across critical mobile and smart glasses use cases—jointly optimizing task quality and system efficiency (latency, memory, and battery).

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.