Principal M-LLM Post-Training and Execution Software Engineer, XR

engineeringjobs.net, Inc.; Town of Montana (WI); On-site; USD 307,000 - 427,000; Full time

Job summary

Google is hiring a Principal SWE for Multimodal LLM post-training and execution in the XR space. You will lead production‑ready features, ensure safety, and optimize real-time XR performance while pushing the boundaries of multimodal AI in immersive environments.

The role sits at the intersection of model alignment and high‑performance execution, requiring deep expertise in large‑scale ML systems and a track record of leading engineering teams through full lifecycle delivery.

Qualifications

• Bachelor's degree in CS, Math, or equivalent practical experience.
• 15 years of software engineering experience in large-scale ML systems.
• Experience driving go-to-market strategy for AI technologies.
• Experience leading engineering teams through full AI product execution.

Responsibilities

• Design and scale post-training infrastructure for Multimodal LLMs, including instruction tuning, RLHF, and evaluation frameworks.
• Architect and optimize execution engines for real-time M-LLM inference on XR hardware.
• Lead data pipelines for computer vision and multimodal understanding of spatial contexts.
• Collaborate with Product and UX to define intelligence primitives for spatial XR applications.
• Set safety and alignment standards for XR AI deployment at scale.

Skills

Software engineering

Leadership

Go-to-market strategy

Education

Bachelor's degree

Tools

RLHF workflows

AI accelerators

Job description

Principal M-LLM Post-Training and Execution Software Engineer, XR

Location

• Google, San Jose, CA, USA

Minimum qualifications

• Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience.
• 15 years of experience in software engineering, specifically in large-scale machine learning systems or computing.
• Experience driving the go-to-market strategy for AI-driven technologies.
• Experience leading engineering teams through the full execution cycle of AI products.

Preferred qualifications

• Experience with high-performance inference engines and custom AI accelerators.
• Advanced knowledge of computer vision pipelines, 3D perception, and their integration with large-scale language models.
• Distinctive problem-solving and analytical skills applied to the challenges of real-time spatial computing.
• Specialized expertise in large-scale post-training workflows, including Reinforcement Learning from Human Feedback (RLHF) and fine-tuning at scale.

About the job

At Google, we put our users first, and the Android XR team is building the future of how users experience the world through augmented and virtual reality. As the Principal SWE for Multimodal LLM (M-LLM) Post-Training & Execution, you will lead the critical efforts to take state-of-the-art research models and transform them into production-ready features for the XR platform. This role is uniquely positioned at the intersection of model alignment and high-performance execution. You will ensure our models are not only intelligent but also safe, reliable, and optimized for the real-time demands of XR environments. Your work will empower XR devices to "see" and "understand" the world in ways never before possible.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary

$307,000 - $427,000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design and scale the post-training infrastructure for Multimodal LLMs, including instruction tuning, RLHF, and automated evaluation frameworks.
• Architect and optimize the execution engines that support real-time M-LLM inference on XR hardware, balancing high-fidelity output with battery-conscious processing.
• Lead the development of large-scale computer vision and multimodal data pipelines to improve model understanding of spatial and environmental contexts.
• Partner with Product and UX teams to define the "intelligence" primitives that will power the next generation of spatial applications.
• Set the standard for model safety and alignment for XR-specific use cases, ensuring responsible AI deployment at scale.

Additional Information

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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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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.

Location

• Google, San Jose, CA, USA