Power-Loop Controls Engineer - Real-Time Tuning

Amazon Inc.; Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Amazon Data Services France SAS is seeking a Controls Engineer, Power Loops to develop and validate advanced control algorithms for SST power-conversion loops, focusing on stability, dynamic response and high-power converter behavior.

You will tune PI, MPC, and passivity-based loops, build state-space models, and collaborate with FPGA/DSP and embedded engineers to deploy loops in real time and compare model predictions with lab measurements.

Qualifications

• Bachelor's degree in Electrical Engineering or related field.
• Experience with power-converter control and stability analysis.
• Experience documenting design decisions, assumptions, risks and technical specifications.

Responsibilities

• Control development: develop PI, MPC and passivity-based control for the converter.
• Simulation & implementation: design and evaluate control algorithms using MATLAB/Simulink; translate to real-time implementations.
• System behavior: analyze dynamic load response and fault-management strategies.
• SST System Alignment: design loops to meet LVDC regulation targets and power-sharing requirements.
• A day in the life: build models, collaborate with FPGA/embedded teams, verify with lab measurements.

Skills

Power-converter control

Stability analysis

Real-time implementation

MATLAB/Simulink

Embedded collaboration

Education

Bachelor's degree in Electrical Engineering

Master's degree or PhD in Electrical Engineering (preferred)

Tools

MATLAB/Simulink

Control Toolbox

FPGA/DSP

Job description

Amazon Data Services France SAS is seeking a Controls Engineer, Power Loops to develop and validate advanced control algorithms for SST power-conversion loops, focusing on stability, dynamic response and high-power converter behavior.

You will tune PI, MPC, and passivity-based loops, build state-space models, and collaborate with FPGA/DSP and embedded engineers to deploy loops in real time and compare model predictions with lab measurements.