Job Description:
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As a Machine Learning Engineer, you will play a critical role in developing and optimizing cutting-edge technologies for our compiler, quantization processes, and ML workloads. You will collaborate directly with strategic customers to deliver customized solutions that shape the future of energy-efficient ML technology.
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Required Skills and Qualifications:
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* Strong expertise in PyTorch and C++ programming
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* Experience with ML workload analysis, compiler development, and quantization techniques
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* Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus
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* Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions
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* Ability to work collaboratively with strategic customers and deliver impactful results
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Benefits:
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As a member of the NPU Architecture team, you will be part of an innovative team that drives impactful advancements in ML technology. Your contributions will support technology that powers more devices worldwide than any other ML solution.
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Others:
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Qualcomm is an equal opportunity employer committed to providing an accessible workplace. We welcome applications from individuals with disabilities and offer reasonable accommodations to support their participation in the hiring process.
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