Senior Software Engineer, Machine Health

Google; United States; On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a Senior Software Engineer, Machine Health in Sunnyvale, CA. This role focuses on automating the detection, mitigation, and repair of hardware in data centers, including ML/Compute/Storage hardware.

You will oversee lifecycle management, from deployment to decommissioning, across large distributed systems. The team aims to increase uptime, reduce costs, and improve reliability for Google's data centers, with a strong emphasis on software engineering across the full stack and

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development.
• 5 years of experience with programming.
• 5 years of experience in coding with C++.
• 3 years of experience with Large-Scale Distributed Systems.
• 3 years of experience with data analysis.

Responsibilities

• Manage the machines life-cycle from data center entry to service.
• Own and manage workflows to turn up, mitigate, repair, and upgrade machines as needed.
• Ensure reliable and safe operation of ML, compute, and storage capacity across Google products and cloud customers.
• Support workflows that provide a repair platform for machine, networking, and power/cooling devices.

Skills

C++

Distributed systems

Data analysis

Programming

Software development

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

Senior Software Engineer, Machine Health

Location: Sunnyvale, CA, USA

Experience Level: Mid

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development.
• 5 years of experience with programming.
• 5 years of experience in coding with C++.
• 3 years of experience with Large-Scale Distributed Systems.
• 3 years of experience with data analysis.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with Python.
• 5 years of experience with databases.
• 3 years of experience with SQL.
• 3 years of experience with data visualization.
• 3 years of experience with hardware.

About the job

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Automate the detection, mitigation, and repair of hardware in the data center. We find innovative ways to increase uptime, reduce parts costs, reduce risk, and more efficiently operate the life-cycle of data center hardware. We are a key component in making Cloud cheap and reliable for Google's internal and external customers. This team specifically focuses on machines, be it ML, Compute, Storage, etc., and their life-cycle in data centers.

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

US Salary Range

$174,000 - $252,000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• Manage the machines life-cycle right from the moment the machine enters the data center floor.
• Own and manage the workflows that help get it to serve customers' needs by turning it up, mitigating, repairing, and upgrading the machines when needed, and finally decommissioning machines when end-of-life.
• Manage through large distributed systems reliably and safely and ensure the ML, compute, and storage capacity to all the Google products and cloud customers.
• Own and support workflows that provide a repair platform for both machine, networking, and power/cooling devices on the data center floor.

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