Engineering Manager — ML, Geospatial Maps

Socket.dev; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking an Engineering Manager to lead a multi-disciplinary software team focused on extracting map features from vast datasets using ML and computer vision. You will guide product strategy, mentor engineers, and ensure scalable, reliable delivery across sites.

In this role you will oversee complex projects at scale, collaborate with stakeholders across the Geo organization, and help shape the future of autonomous mapping and in-car systems used by millions worldwide.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience in a people management or technical leadership role.
• Experience building and deploying Machine Learning models.
• Experience with Generative AI.

Responsibilities

• Lead a team of software engineers designing and deploying machine learning models to extract map features and attributes.
• Set the strategic direction for the group, defining a multi-year technical outlook and aligning stakeholder goals.
• Partner with senior architects to ensure ambiguous systems are driven toward solutions that scale and maintain high reliability.
• Provide technical leadership, mentorship, and performance coaching to technical leads and engineers on the team.
• Review systems designs and product development code to solve complex problems and ensure engineering best practices.

Skills

C++

Java

Python

Kotlin

Go

People management

Technical leadership

Machine Learning

Generative AI

Education

Bachelor's degree or equivalent practical experience

Tools

TensorFlow

PyTorch

ML frameworks

Job description

Google is seeking an Engineering Manager to lead a multi-disciplinary software team focused on extracting map features from vast datasets using ML and computer vision. You will guide product strategy, mentor engineers, and ensure scalable, reliable delivery across sites.

In this role you will oversee complex projects at scale, collaborate with stakeholders across the Geo organization, and help shape the future of autonomous mapping and in-car systems used by millions worldwide.