Software Engineer, Multimodal AI, XR

Google LLC; San Jose, New York (CA, NY); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a software engineer focused on advancing multimodal and conversational AI for next-gen wearable computers. You will conduct development on large language models (LLMs) and agents, with emphasis on the multimodal domain (vision, audio) for XR devices such as smart glasses and headsets.

You will work with researchers, engineers, and product teams to drive the technical roadmap, prototype on-device AI features, and publish findings at conferences, while contributing to impactful

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with one or more of: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML frameworks such as JAX, TensorFlow, or PyTorch.

Responsibilities

• Lead the development and optimization of on-device and hybrid multimodal models for XR devices. Utilize prompting, few-shot learning, and post-training techniques to enhance performance under power/latency constraints.
• Create evaluation plans for hybrid systems, from dataset development to KPI definitions for model accuracy and efficiency.
• Identify, implement, and ship innovations focusing on hybrid agent architectures, edge-cloud orchestration, multimodality, tooling, and personalization.
• Prototype on-device AI features rapidly and iterate with XR product teams to enable testing.
• Collaborate with research scientists, engineers, and product teams to drive the technical roadmap and share findings via conferences.

Skills

Software development

ML knowledge

On-device optimization

Education

Bachelor's degree or equivalent practical experience

Tools

JAX

TensorFlow

PyTorch

Job description

Google San Jose, CA, USA ; New York, NY, USA ; +1 more

X In 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; New York, NY, USA; San Francisco, CA, USA.

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 1 year 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.
  
• 1 year of experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or related technical fields.
  
• Experience with multimodal learning, large language models, or AI agents.
• Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.
• Familiarity with on-device model training and deployment.

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.

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. We are seeking a highly motivated and innovative software engineer focused on advancing in multimodal and conversational AI for next-gen wearable computers. In this role, you will conduct development on large language models (LLMs) and agents, particularly in the multimodal domain (vision, audio), focusing on developing more capable AI for XR devices (glasses, goggles). This role offers a unique opportunity to contribute to AI research and seeing your work define the next-generation of computing products.
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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• Lead the development and optimization ofon-device and hybridmultimodal models for XR devices. Utilize techniques like prompting, few-shot learning, and post-training (e.g., quantization) to enhance performance and robustness while adhering to strict device power and latency constraints.
• Create comprehensive evaluation plans for hybrid systems, from dataset development to defining KPIs that measure model accuracy and on-device efficiency.
• Identify, implement, and ship the latest modeling innovations, focusing onhybrid agent architectures, orchestration between edge and cloud, multimodality, tool integrations, and personalization.
• Prove out concepts foron-device AI featuresthrough rapid prototyping and iterative development, facilitating team testing and in close partnership with XR product teams.
• Work closely with research scientists, engineers, and product teams to drive the technical roadmap. Foster a collaborative environment and share findings through conference publications while contributing to impactful product launches.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

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