Software Engineer III, Diagnostics, Tools, Google Cloud Platform at Google

📍 Job Overview

Job Title: Software Engineer III, Diagnostics, Tools, Google Cloud Platform
Company: Google
Location: Taipei, Taipei, Taiwan
Job Type: On-site
Category: Backend Developer, DevOps Engineer
Date Posted: 2025-06-25
Experience Level: Mid-Level (2-5 years)
Remote Status: On-site

🚀 Role Summary

Develop and maintain diagnostic tools and utilities for Google Cloud Platform's machine learning and AI acceleration platforms.
Collaborate cross-functionally with Google Software, Firmware, and Hardware teams to design, implement, and debug software solutions.
Enhance the quality, performance, and coverage of diagnostic tools and utilities for Google Cloud Platform.
Enable testing and decision-making on hardware and software design and deployment.

📝 Enhancement Note: This role requires a strong background in software development, data structures, and algorithms, with a focus on performance analysis, system health, and diagnostics tools. Experience with machine learning and AI acceleration platforms is a plus.

💻 Primary Responsibilities

Diagnostic Tool Development: Develop and maintain tools and diagnostics to support system health verification, performance characterization, and on-going reliability of machine learning and AI acceleration platforms.
Parallel System Execution: Develop software that executes multiple systems in parallel and create dashboards to analyze the results.
Collaboration & Debugging: Collaborate with Google Software, Firmware, and Hardware teams to design, plan, implement, and debug software solutions.
Quality & Performance Enhancement: Enhance the quality, performance processes, or coverage of the diagnostic tool or utility of the Google Cloud platform.
Testing & Decision Making: Enable the testing and decision making on hardware and software design and deployment.

📝 Enhancement Note: This role involves a significant amount of cross-functional collaboration and requires strong problem-solving skills to tackle complex technical challenges in a large-scale environment.

🎓 Skills & Qualifications

Education: Bachelor’s degree in Computer Science or equivalent practical experience. A Master's degree or PhD in Computer Science or related technical field is preferred.

Experience: 2 years of experience with software development in one or more programming languages (e.g., Python, C, C++). Experience in software development with performance, systems data analysis, diagnostics tools, and debugging is preferred.

Required Skills:

Software Development
Python
C
C++
Data Structures
Algorithms
Diagnostics Tools
Debugging
System Health
Performance Analysis
Linux
Golang

Preferred Skills:

Machine Learning
Artificial Intelligence
Cloud Computing
Distributed Computing

📝 Enhancement Note: While not explicitly stated, experience with Google Cloud Platform and familiarity with its services would be beneficial for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate proficiency in software development with examples of performance analysis, system health, and diagnostics tools.
Showcase experience with Python, C, C++, and Golang through relevant projects.
Highlight any experience with machine learning, AI acceleration platforms, or cloud computing.

Technical Documentation:

Provide clear and concise code comments, documentation, and version control history for your projects.
Include any relevant testing methodologies, performance metrics, and optimization techniques used in your projects.

📝 Enhancement Note: As this role involves collaboration with various teams, it's essential to showcase strong communication skills and the ability to work effectively in a cross-functional environment.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Taipei, Taiwan is NT$1,200,000 - NT$1,800,000 per year, based on market research and industry standards for mid-level software engineers with relevant experience.

Benefits:

Competitive salary and stock awards
Health, dental, and vision insurance
Generous time off (unlimited PTO, sick leave, and paid holidays)
Maternity and paternity leave
Retirement plans and company matching
Tuition reimbursement and professional development opportunities
Meals and snacks provided on-site
On-site gym and wellness programs

Working Hours: Full-time position with standard working hours Monday through Friday, 9:00 AM to 5:30 PM. Flexible working hours and remote work arrangements may be available based on team and project needs.

📝 Enhancement Note: Google is known for its competitive benefits package, focusing on employee well-being, professional development, and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Google operates in the technology industry, focusing on search engines, online advertising, cloud computing, software, and hardware. This role is part of the ML, Systems, & Cloud AI (MSCA) organization, which designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud.

Company Size: Google is a large corporation with over 135,000 employees worldwide, providing ample opportunities for collaboration and growth.

Founded: Google was founded in 1998 by Larry Page and Sergey Brin, and its mission is to "organize the world's information and make it universally accessible and useful."

Team Structure:

The ML, Systems, & Cloud AI (MSCA) organization is responsible for the hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud.
The team focuses on artificial intelligence and machine learning acceleration, storage solutions, compute servers, other processors, high-speed low-latency networking, and interfaces.
The team explores hardware solutions and is involved in design and setting product requirements.

Development Methodology:

Google follows Agile development methodologies, with a focus on iterative development, continuous integration, and collaboration.
The company emphasizes code reviews, testing, and quality assurance to ensure the reliability and performance of its products.
Google uses a combination of in-house and open-source tools for development, debugging, and deployment.

Company Website: Google

📝 Enhancement Note: Google's company culture is known for its focus on innovation, collaboration, and employee growth. The company encourages its employees to think big, take risks, and continuously learn and adapt.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-level (2-5 years of experience) and involves a significant amount of cross-functional collaboration and problem-solving. The primary responsibility is to develop and maintain diagnostic tools and utilities for Google Cloud Platform's machine learning and AI acceleration platforms, enabling testing and decision-making on hardware and software design and deployment.

Reporting Structure: This role reports to the ML, Systems, & Cloud AI (MSCA) organization and works closely with Google Software, Firmware, and Hardware teams.

Technical Impact: The technical impact of this role is significant, as it directly contributes to the reliability, performance, and quality of Google Cloud Platform's machine learning and AI acceleration platforms. The diagnostic tools and utilities developed in this role enable better decision-making and improve the overall user experience for both internal and external customers.

Growth Opportunities:

Technical Growth: Develop expertise in machine learning, AI acceleration platforms, and cloud computing, and explore opportunities to specialize in these areas.
Leadership Growth: Demonstrate strong problem-solving skills, cross-functional collaboration, and mentoring abilities to take on more senior roles within the organization.
Product Management: Leverage technical expertise to transition into a product management role, focusing on hardware, software, or machine learning products.

📝 Enhancement Note: Google offers numerous opportunities for career growth and development, with a strong emphasis on internal mobility and promotion from within.

🌐 Work Environment

Office Type: Google's Taipei office is a modern, collaborative workspace designed to foster innovation and creativity. The office features open workspaces, meeting rooms, and recreational areas, with a focus on employee well-being and comfort.

Office Location(s): Taipei, Taiwan

Workspace Context:

Collaborative Environment: The open workspace encourages collaboration and communication among team members, with ample opportunities for brainstorming and idea-sharing.
Development Tools: Google provides access to state-of-the-art development tools, including integrated development environments (IDEs), version control systems, and cloud-based development platforms.
Cross-Functional Collaboration: The office is home to various teams, including software engineers, designers, and product managers, fostering cross-functional collaboration and learning.

Work Schedule: Full-time position with standard working hours Monday through Friday, 9:00 AM to 5:30 PM. Flexible working hours and remote work arrangements may be available based on team and project needs.

📝 Enhancement Note: Google's work environment is designed to be flexible and accommodating, with a focus on work-life balance and employee well-being.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to assess communication skills, technical knowledge, and cultural fit.
Technical Deep Dive: A comprehensive technical interview focused on data structures, algorithms, and system design, with a strong emphasis on performance analysis, system health, and diagnostics tools.
Behavioral Interview: An in-depth discussion of past experiences, problem-solving skills, and cross-functional collaboration abilities.
Final Interview: A meeting with the hiring manager or team lead to discuss the role, team dynamics, and career growth opportunities.

Portfolio Review Tips:

Highlight projects that demonstrate proficiency in software development, performance analysis, system health, and diagnostics tools.
Include any experience with machine learning, AI acceleration platforms, or cloud computing.
Showcase strong communication skills and the ability to work effectively in a cross-functional environment.

Technical Challenge Preparation:

Brush up on data structures, algorithms, and system design concepts, with a focus on performance analysis, system health, and diagnostics tools.
Familiarize yourself with Google Cloud Platform and its services, as well as any relevant open-source tools and technologies.
Prepare for behavioral interview questions by reflecting on past experiences and identifying examples of strong problem-solving skills, cross-functional collaboration, and adaptability.

ATS Keywords:

Programming Languages: Python, C, C++, Golang
Web Frameworks: Not applicable
Server Technologies: Linux
Databases: Not applicable
Tools: Google Cloud Platform, Diagnostics Tools, Debugging Tools
Methodologies: Agile, Scrum, Waterfall
Soft Skills: Problem-Solving, Cross-Functional Collaboration, Adaptability, Communication
Industry Terms: Machine Learning, AI Acceleration Platforms, Cloud Computing, Distributed Computing

📝 Enhancement Note: The interview process for this role is likely to be comprehensive and challenging, with a strong focus on technical problem-solving, system design, and cross-functional collaboration. Preparation and practice are essential for success.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable

Backend & Server Technologies:

Python
C
C++
Golang
Linux

Development & DevOps Tools:

Google Cloud Platform
Diagnostics Tools
Debugging Tools
Version Control Systems (e.g., Git)
Integrated Development Environments (IDEs) (e.g., IntelliJ IDEA, PyCharm, Visual Studio Code)

📝 Enhancement Note: While not explicitly stated, familiarity with Google Cloud Platform and its services would be beneficial for this role. Additionally, experience with relevant open-source tools and technologies, such as Kubernetes, Docker, and Terraform, could be an advantage.

👥 Team Culture & Values

Web Development Values:

Innovation: Google encourages its employees to think big, take risks, and continuously learn and adapt.
Collaboration: The company fosters a collaborative work environment, with a strong emphasis on cross-functional teamwork and communication.
Quality: Google is committed to delivering high-quality products and services that meet the needs of its users.
User-Centric: The company prioritizes the user experience in all its products and services, ensuring that they are accessible, intuitive, and useful.

Collaboration Style:

Cross-Functional Integration: The team works closely with various departments, including software engineering, design, and product management, to ensure that products and services meet user needs and business objectives.
Code Review Culture: Google emphasizes code reviews and pair programming to ensure code quality, knowledge sharing, and continuous learning.
Knowledge Sharing: The company encourages its employees to share their knowledge and expertise with others, fostering a culture of continuous learning and growth.

📝 Enhancement Note: Google's team culture is known for its focus on innovation, collaboration, and user-centric design. The company encourages its employees to think big, take risks, and continuously learn and adapt.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Performance Analysis: Develop and maintain tools and diagnostics that support system health verification, performance characterization, and on-going reliability of machine learning and AI acceleration platforms.
System Design: Collaborate with various teams to design, implement, and debug software solutions, ensuring that they are scalable, reliable, and performant.
Cross-Functional Collaboration: Work effectively with software, firmware, and hardware teams to ensure that diagnostic tools and utilities meet the needs of all stakeholders.
Emerging Technologies: Stay up-to-date with the latest developments in machine learning, AI acceleration platforms, and cloud computing, and explore opportunities to apply these technologies to Google Cloud Platform.

Learning & Development Opportunities:

Technical Skill Development: Develop expertise in machine learning, AI acceleration platforms, and cloud computing, and explore opportunities to specialize in these areas.
Leadership Development: Demonstrate strong problem-solving skills, cross-functional collaboration, and mentoring abilities to take on more senior roles within the organization.
Product Management: Leverage technical expertise to transition into a product management role, focusing on hardware, software, or machine learning products.

📝 Enhancement Note: This role presents numerous technical challenges and growth opportunities, with a strong focus on performance analysis, system design, and cross-functional collaboration. Additionally, the role offers ample opportunities for learning and development, with a strong emphasis on technical skill development and career progression.

💡 Interview Preparation

Technical Questions:

Data Structures & Algorithms: Prepare for questions related to data structures, algorithms, and system design, with a focus on performance analysis, system health, and diagnostics tools.
System Design: Brush up on your system design skills, with a strong emphasis on scalability, reliability, and performance.
Problem-Solving: Practice problem-solving techniques and be prepared to discuss your approach to complex technical challenges.

Company & Culture Questions:

Company Culture: Research Google's company culture and be prepared to discuss how your values and work style align with the company's mission and goals.
Team Dynamics: Familiarize yourself with the team's structure and dynamics, and be prepared to discuss how you would contribute to the team's success.
Career Growth: Reflect on your long-term career goals and be prepared to discuss how this role aligns with your aspirations and how you plan to grow within the organization.

Portfolio Presentation Strategy:

Project Selection: Choose projects that demonstrate your proficiency in software development, performance analysis, system health, and diagnostics tools, with a focus on machine learning, AI acceleration platforms, and cloud computing.
Storytelling: Prepare a compelling narrative for each project, highlighting the challenges you faced, the solutions you implemented, and the outcomes you achieved.
Technical Deep Dive: Be prepared to discuss the technical details of your projects, including the tools, technologies, and methodologies you used.

📝 Enhancement Note: The interview process for this role is likely to be comprehensive and challenging, with a strong focus on technical problem-solving, system design, and cross-functional collaboration. Preparation and practice are essential for success.

📌 Application Steps

To apply for this Software Engineer III, Diagnostics, Tools, Google Cloud Platform position:

Resume Optimization: Tailor your resume to highlight your relevant experience with software development, performance analysis, system health, and diagnostics tools. Include any experience with machine learning, AI acceleration platforms, or cloud computing, and emphasize your problem-solving skills, cross-functional collaboration, and adaptability.
Portfolio Customization: Customize your portfolio to showcase your proficiency in software development, performance analysis, system health, and diagnostics tools, with a focus on machine learning, AI acceleration platforms, and cloud computing. Include any relevant projects and highlight the challenges you faced, the solutions you implemented, and the outcomes you achieved.
Technical Interview Preparation: Brush up on your data structures, algorithms, and system design skills, with a focus on performance analysis, system health, and diagnostics tools. Practice problem-solving techniques and be prepared to discuss your approach to complex technical challenges. Familiarize yourself with Google Cloud Platform and any relevant open-source tools and technologies.
Company Research: Research Google's company culture, team structure, and dynamics. Prepare for company-specific questions and be ready to discuss how your values and work style align with the company's mission and goals. Reflect on your long-term career goals and be prepared to discuss how this role aligns with your aspirations and how you plan to grow within the organization.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Software Engineer III, Diagnostics, Tools, Google Cloud Platform