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Jobs / Engineering Director / VP in United States of America
10 days ago
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Google·SaaS·10 days ago
10 days ago

Engineering Director, Geo Imagery

Mountain View, United States of AmericaFull-timeSenior · 15+ yearsEngineering Director / VP

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Top 10% of NextRaise users matched against Engineering Director / VP roles in United States.

Must-have skills for this role

  • machine learning
  • computer vision
  • software engineering
  • 3d graphics

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What you'll do

  • Own the ML and computer vision technologies that process car, airplane, and satellite-based sensors, cameras, and vehicle-provided telemetry to automatically identify real-world features (e.g., stop signs, lane markings, and building entrances). Improve Google Maps’ freshness and detail by shifting to purer AI model-based inference and real-time world-modeling.
  • Direct innovation for both the hardware and software for Google's imagery acquisition engines, including Street View vehicles, drones, and aerial survey planes. Evaluate "build-vs-buy" opportunities and external partnerships to maintain excellent coverage and freshness, and enable strategically differentiating Google Maps products and features.
  • Lead the data pipelines that ingest, process, and publish exa-scale sensor data, and serve it to users and customers worldwide in Google Maps, Earth, and Google Maps Platform.

What they're looking for

  • Bachelor’s degree in Computer Science, a similar degree/field, or equivalent practical experience.
  • 15 years of experience in software engineering leadership roles, with experience building products or platforms.
  • Experience in Machine Learning/Computer Vision, real-time data pipelines, 3D graphics/reconstruction, or hardware/sensor platforms.

Nice to have

  • Skilled communicator with the ability to align senior executive stakeholders and operate smoothly in a tight "four-in-a-box" structure with product management, technical program Management, and operations partners.
  • Commitment to fostering a healthy organizational culture, mitigating technical resource scarcity, and coaching senior managers for multiplicative impact.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

As the Engineering Director for the Geo Imagery organization, you will own the end-to-end platform that captures, processes, publishes, and serves geospatial imagery from Street View cars to satellites, as well as the core perception systems that help Google Maps "understand" what it sees and present immersive 3D photoreal experiences to billions of users.

In this role, you will manage a highly specialized engineering organization of full-time employees, spanning perception, hardware, exa-scale data processing and serving, and photoreal 3D modeling. You will partner tightly in a "four-in-a-box" model with product managers, technical program managers, and operations leads to ensure that Geo's visual assets are continuously refreshed and optimized to power immersive user experiences, B2B enterprise services, and Google's broader Gemini AI training needs. Furthermore, you will serve as a crucial site leader for our Boulder (BLD) and Mountain View (MTV) teams, driving innovation in areas like photoreal 3D products, sensor hardware systems, global sensor acquisition, and generative AI world understanding.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

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

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Own the ML and computer vision technologies that process car, airplane, and satellite-based sensors, cameras, and vehicle-provided telemetry to automatically identify real-world features (e.g., stop signs, lane markings, and building entrances). Improve Google Maps’ freshness and detail by shifting to purer AI model-based inference and real-time world-modeling.
  • Direct innovation for both the hardware and software for Google's imagery acquisition engines, including Street View vehicles, drones, and aerial survey planes. Evaluate "build-vs-buy" opportunities and external partnerships to maintain excellent coverage and freshness, and enable strategically differentiating Google Maps products and features.
  • Lead the data pipelines that ingest, process, and publish exa-scale sensor data, and serve it to users and customers worldwide in Google Maps, Earth, and Google Maps Platform. 

Minimum qualifications:

  • Bachelor’s degree in Computer Science, a similar degree/field, or equivalent practical experience.
  • 15 years of experience in software engineering leadership roles, with experience building products or platforms.
  • Experience in Machine Learning/Computer Vision, real-time data pipelines, 3D graphics/reconstruction, or hardware/sensor platforms.

Preferred qualifications:

  • Skilled communicator with the ability to align senior executive stakeholders and operate smoothly in a tight "four-in-a-box" structure with product management, technical program Management, and operations partners.
  • Commitment to fostering a healthy organizational culture, mitigating technical resource scarcity, and coaching senior managers for multiplicative impact.
SaaS

Company

GoogleSaaS
Mountain View, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Google's careers site·first seen 11 Sept 2026·last verified 11 Sept 2026·How we source jobs

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