Machine Learning Engineer – PyTorch / C++ / NPU Architecture

We are partnered with a global semiconductor leader seeking a Machine Learning Engineer to join their NPU Architecture Team. This is a chance to shape the future of energy-efficient ML technology used in billions of devices worldwide.

What you’ll be doing:

• Develop and enhance ML compilers using PyTorch and C++ for advanced NPU architecture
• Design and implement quantization techniques to improve model efficiency and accuracy
• Optimize ML workloads for high performance and low power consumption
• Collaborate with strategic customers to deliver tailored ML solutions
• Partner with architecture and software teams to integrate new ML technologies
• Research, prototype, and implement compiler and system-level optimizations

What we’re looking for:

• Strong background in PyTorch and C++ programming
• Experience in ML compiler development, quantization, and workload analysis
• Familiarity with TensorFlow or ONNX a plus
• Solid understanding of hardware-aware ML solutions and performance optimization
• Excellent problem-solving, collaboration, and communication skills

Preferred:

• Experience deploying ML models on NPUs, GPUs, or TPUs
• Understanding of system-level architecture and low-level programming
• Research or publications in ML-related fields

If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on [email protected]

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