Control Systems Engineer, Machine Learning, Data Centers
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Minimum qualifications:
- Bachelor's in Engineering, Science, a related field, or equivalent practical experience.
- 1 year of experience designing and implementing controls systems and controls modeling.
- Experience with Machine Learning (ML) and construction of algorithms.
- Experience with programming in 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.
- Experience with digital signal processing and time-series analysis.
- Experience with optimization, Linear Programming, and Convex Optimization.
- Experience with dynamic system analysis, feedback control systems (PID Control), and optimal control.
- Excellent communication skills and ability to work effectively with cross-discipline teams (e.g., structural, civil, IT/Telecom, security, mechanical, architectural).
About the job
Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.
With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).
Responsibilities
- Research and develop new algorithms and methods for optimizing data center efficiency and performance.
- Design, validate, and implement control algorithms to manage electrical and mechanical stability.
- Analyze and recommend approaches to manage dynamics of the electromechanical systems and their interactions within a data center.
- Conduct statistical analysis/modeling on relevant data for use in data center controls. Develop large-scale Machine Learning algorithms for pattern recognition and Bayesian and non-linear systems.
- Collaborate with the Engineering team to implement proposed strategies and algorithms in our technology system.
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