Performance Evaluation of CPUs, GPUs, and AMD AI Engines on Time-Series Machine Learning Applications (exjobb)

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The opportunity:

We are looking for a master thesis student at our R&D department would like to join our multinational organization with lots of development opportunities. Our team is dedicated to creating a future where innovative digital technology brings cleaner energy to people around the world. If this opportunity excites you we encourage you to apply!

Time-series machine learning is increasingly critical in domains such as industrial control predictive maintenance and anomaly detection. These applications often require low-latency inference and efficient on-device processing. While CPUs and GPUs are widely used for ML workloads specialized neural processing units (NPUs) such as AMDs AI Engine architecture offer promising acceleration for time-series models. This project aims to benchmark and compare the performance of CPUs GPUs and AMD AI Engines across representative time-series ML tasks.

How youll make an impact:

• Design and implement time-series ML models like RNNs LSTMs and CNNs to evaluate performance across CPU GPU and AI Engine platforms.

• Establish strong baselines using PyTorch and TensorFlow helping us understand how traditional frameworks stack up against AI Engine acceleration.

• Develop and deploy optimized flows using AMDs AI Engine programming model Vitis Unified IDE and Vitis AI toolchain to unlock low-latency high-efficiency inference.

• Benchmark key performance metrics including latency throughput energy consumption and memory usage to guide architectural decisions.

• Analyze trade-offs in accuracy quantization and developer productivity to inform real-world deployment strategies.

• Provide clear guidelines for hardware selection based on workload characteristics helping teams choose the right compute targets.

• Evaluate developer effort and time-to-deploy ensuring our solutions are not only powerful but also practical and scalable.

• Live Hitachi Energys core values of safety and integrity taking responsibility for your actions while caring for colleagues and the business.

Your background:

• Bachelors or Masters degree in Computer Science Electrical Engineering or related field.

• Proficiency in Python and experience with ML frameworks (e.g. PyTorch TensorFlow).

• Familiarity with embedded development and heterogeneous computing architectures.

• Exposure to AMD Vitis toolchain and AI Engine programming is a plus.

• Experience with benchmarking profiling and performance analysis.

• Proficiency in English both written and spoken.

More about us:

Are you ready for an exciting new challenge Does the above description sound like you Applications will be

reviewed on an ongoing basis so dont delay apply today! Recruiting Manager: Lucas Bottura and thesis supervisor: Hasan Basri Celebi will answer your questions about the position.

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