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Google

Software Engineer, PhD, Early Careers, Platform System Software

Google

Published 16 May 2026
Taipei, Taiwan
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Python

Key skills

Computer Science
Integrations
Test Engineer
Embedded Systems
PhD
Infrastructure
Reliability
Cloud
Data
Operations
Research
SPI
Security
Debugging
Kernel

Tools, Libraries and Frameworks

Vertex AI
GCP
IOS
Embedded Linux
FirmWare

Description

The role involves developing firmware and system software, including device drivers, simulators, and emulators. The engineer will optimize low-level hardware interaction and peripheral control for new features. Responsibilities include focusing on secure aspects of the boot process such as confidential compute and attestation. The individual will navigate the software stack to implement BIOS features, debug kernel drivers, and interact with silicon designers. Additionally, the role requires identifying root causes of complex issues within AI hypercomputer systems.

Required Qualifications and Skills

Candidates must possess a PhD degree in Computer Science or a related field, or have equivalent practical experience. Required technical skills include coding proficiency in C, C++, or Python, along with experience in embedded systems, system software, and software integration. Preferred qualifications include one year of experience with embedded Linux or Linux device drivers. Additionally, familiarity with firmware development, code diagnosis, and software test engineering is considered beneficial.

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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