Data Center Design Lead

At Google, we thrive on innovation, pushing the limits of technology. The Data Center Engineering team is key in shaping the future of our data centers, where groundbreaking strategies and advancements take place. Working with a team of like-minded professionals, you'll drive improvements in efficiency and sustainability, leveraging your expertise in Machine Learning (ML), controls systems, and optimization.

Role Overview:
As a Data Center Engineer, you will play a crucial role in optimizing and innovating the systems that power Google’s data centers. You will work across a variety of engineering challenges, from designing advanced control systems to implementing machine learning algorithms for system optimization. Your insights and recommendations will have a direct impact on how Google’s global infrastructure operates, ensuring that it remains efficient, environmentally sustainable, and scalable.

Key Responsibilities:

• Design, implement, and optimize control systems and models for data center equipment and facilities.
• Utilize Machine Learning (ML) to create and improve algorithms for system optimization.
• Work with cross-functional teams to ensure seamless integration and optimization of systems.
• Develop operations and maintenance procedures to improve the performance and reliability of data center systems.
• Conduct engineering analysis and research to refine data center designs, including cooling, electrical systems, and structural concerns.
• Lead research and development efforts to define data center system architecture and drive long-term improvements.
• Ensure that designs and installations meet operational requirements, including cooling predictions and structural integrity.
• Provide technical leadership and support to various engineering teams to maintain Google’s infrastructure.
• Communicate your findings and recommendations to senior-level executives to influence strategic decisions.

Minimum Qualifications:

• Bachelor’s degree in Engineering, Science, or related field, or equivalent practical experience.
• 5+ years of experience designing and implementing control systems and controls modeling.
• Experience with Machine Learning (ML) and algorithm construction.
• Proficiency in programming languages such as C, Python, MATLAB, or Shell.

Preferred Qualifications:

• Master’s degree or PhD in Engineering, Science, or a related technical field.
• Experience with modeling/statistical software such as TensorFlow, Simulink, R, or MATLAB Machine Learning Toolbox.
• Knowledge of digital signal processing and time-series analysis.
• Experience with Optimization, Linear Programming, and Convex Optimization.
• Familiarity with dynamic system analysis, feedback control systems (e.g., PID Control), and optimal control.
• Excellent communication skills, capable of working with cross-functional teams (e.g., structural, civil, IT/Telecom, mechanical, architectural).

Salary and Compensation:

• Base Salary Range: $139,000 - $207,000 annually (depending on location and experience).
• Additional Benefits: Bonus, equity, and other company benefits.
• Location-Based Pay: Salary may vary depending on the chosen location, with specific pay ranges discussed during the hiring process.

Google’s Commitment to Diversity and Inclusion: Google is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome applications from individuals of all backgrounds and experiences, and we are committed to offering accommodations for applicants with disabilities or special needs.