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Google

Senior Software Engineer, Automotive AI

Google

Published 16 May 2026
Zurich, Switzerland
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Key skills

AI
NLP
Information Retrieval
NLU
Computer Science
Integrations
Software Design
Data Structures
System Design
Technical Leadership
Full Stack
LLMs
Testing
Architecture
PhD
Search
Storage
Security
UI
Cloud
Machine Learning
Infrastructure

Tools, Libraries and Frameworks

GCP

Description

The role involves developing next-generation technologies that handle information at a massive scale. The engineer will work on projects critical to the organization's needs, including building AI vehicle integration with reasoning capabilities. Responsibilities include reviewing code developed by other team members to ensure adherence to best practices and efficiency. The position requires building AI and machine learning technologies, as well as infrastructure for large language models and natural language understanding. The engineer will collaborate closely with business stakeholders and other engineering teams.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires five years of experience in software development and three years of experience in testing, maintaining, or launching software products. Additionally, one year of experience in software design and architecture is necessary. Preferred qualifications include a Master's degree or PhD in a technical field, five years of experience with data structures and algorithms, and one year of technical leadership experience.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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