Software Engineer, Multimodal AI, XR

About the role

MINIMUM 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 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.

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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Lead the development and optimization of on-device and hybrid multimodal

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

on hybrid agent architectures, orchestration between edge and cloud,

multimodality, tool integrations, and personalization.

• Prove out concepts for on-device AI features through 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.