Software Engineer, AI/ML, Computer Vision, XR

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is hiring a Software Engineer for AI/ML, CV, and XR in San Jose, CA. The role targets mid-level engineers working across depth estimation for Android XR headsets and related perceptual pipelines.

You will architect models, optimize for latency and power, and collaborate with cross-functional teams to deliver robust XR experiences. A strong background in ML, CV, and software engineering is essential.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience in designing computer vision systems.
• Experience with software engineering, C++, Python.

Responsibilities

• Architect, train, and implement machine learning models for depth estimation tailored for Android XR headsets and smart glasses.
• Design algorithms for split-compute architectures, optimizing for power efficiency and low latency.
• Lead end-to-end development, testing, and deployment of a stable depth pipeline runtime for end users.
• Collaborate with partner engineering teams and Product/UX to meet KPIs.

Skills

ML infrastructure

Computer vision

C++

Python

Education

Bachelor's degree

Master's or PhD in CS/related

Job description

Software Engineer, AI/ML, Computer Vision, XR

Location: San Jose, CA, USA

Experience Level: Mid

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience in designing computer vision systems.
• Experience with software engineering, C++, Python.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• Experience in 3D reconstruction.
• Detailed understanding of mobile imaging systems (image sensors, optics, auto-exposure, image signal processor (ISP), etc.).

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.

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 Range: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Architect, train, and implement machine learning models for depth estimation tailored for Android XR headsets and smart glasses.
• Design algorithms for split-compute architectures, optimizing specifically for extreme power efficiency and low latency.
• Lead the end-to-end development, testing, and deployment of a stable depth pipeline runtime for end users.
• Collaborate effectively with partner engineering teams as well as with Product and UX to deliver on the main target key performance indicators (KPIs).

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

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