Control Systems Engineer, Machine Learning, Data Centers

Google is seeking a Control Systems Engineer specializing in Machine Learning for their Data Centers team. This role is part of the Data Center Engineering team, which focuses on advancing the physical design of Google's data centers. The ideal candidate will have a strong background in control systems, machine learning, and programming.

Key responsibilities include developing algorithms for data center optimization, designing control algorithms for electrical and mechanical stability, and implementing machine learning solutions for pattern recognition and system management. The role requires a blend of theoretical knowledge and practical skills in areas such as statistical analysis, dynamic system analysis, and optimization techniques.

The position offers an opportunity to work on cutting-edge strategies in a research and development-like environment, tackling complex issues related to power usage and environmentally-friendly facility operations. The engineer will be expected to generate ideas, communicate recommendations to senior executives, and work closely with facilities technicians to implement solutions.

This role is ideal for a visionary who is passionate about efficiency and continuous improvement, even when it comes to small changes that can have a significant impact. The successful candidate will ensure compliance with codes and standards, develop infrastructure improvements, and serve as an expert in their specialty area.

Google offers a competitive salary range of $99,000-$145,000 plus bonus, equity, and benefits for this full-time position. The company is committed to equal opportunity and creating a diverse, inclusive work environment.

Candidates should have at least a Bachelor's degree in a relevant field, with preferred qualifications including an advanced degree and experience with specific tools and techniques in control systems and machine learning. Strong communication skills and the ability to work effectively in cross-disciplinary teams are essential for success in this role.