Machine Learning Engineer
1 month ago
Job Summary:
Qualcomm is seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our software development team, you will be responsible for designing, developing, and delivering advanced machine learning solutions on top of Qualcomm's hardware and software infrastructure.
Key Responsibilities:
- Develop model tools and deliver advanced machine learning solutions on top of Qualcomm's hardware and software infrastructure.
- Work with ML frameworks like PyTorch and TensorFlow to extend Qualcomm AI software platform and AI Model Efficiency Toolkit.
- Analyze accuracy loss, develop quantization techniques, and fine-tune models to improve on-target accuracy.
- Collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions.
Requirements:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- Good Python/C++ skills with strong fundamentals in programming.
- Solid understanding of machine learning technology and hands-on experience in design/implementation of deep learning networks via PyTorch or TensorFlow.
- Expertise in at least one of the following areas: LLM or Diffusion model training, finetuning, Pytorch model quantization or compression toolkit development, CUDA programming and debugging, deploying model via SNPE/QNN or other machine learning frameworks, DSP software development and algorithm implementation.
Preferred Qualifications:
- Master or PhD in Computer Engineering and/or Computer Science and/or Electrical Engineering.
Qualcomm is an Equal Opportunity Employer:
Qualcomm is committed to diversity and inclusion in the workplace. We are an equal opportunity employer and welcome applications from qualified candidates of all backgrounds.
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