Engineering Services Engineer - Machine Learning

About the Role

The Intelligent Control Systems team at Siemens Engineering Services (ES) is looking for a talented engineer to enhance the current capabilities of our group. Preferred educational background is Bachelors or Masters in Computer/Electrical/Mechanical engineering with a focus on Machine Learning (ML) applied to the design of adaptive control systems.

Responsibilities

The candidate will be involved in modeling, training, and validation of Deep Learning (DL) models and systems. The role applies ML to the design of advanced controllers.

Requirements

• Minimum TWO years of solid experience in modeling, training, and validation of Deep Learning (DL) models and systems.
• Fundamentals in control systems theory and design is a strong advantage.
• Experience with classical ML algorithms including those for classification, regression, clustering.
• Experience with DL algorithms and network architectures (CNN, RNN, LSTM, …).
• Experience with Python (Numpy) and at least one ML framework (TensorFlow, Keras, PyTorch, …).
• Experience in design and implementation of machine learning models for real-world systems/Engineering applications is preferred.
• Experience in Algorithm Development + V&V for ADAS (LKA, ELK, AEB. ACC, PA) and Autonomous Driving is a strong advantage.

Highly Recommended (but not mandatory)

• Experience with classical control techniques, including advanced nonlinear control algorithm.
• Experience using the MATLAB (Simulink and Stateflow) software environment.
• Experience in Model/Software/Hardware in Loop Simulation set up, verification and validation.
• Experience in automotive systems, embedded systems, auto-code generation, ADAS, Autonomous Driving.