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AI Hardware Architect

3 weeks ago

Markham, Ontario, Canada Qualcomm Full time

Job Description

We are seeking a highly skilled Machine Learning Optimization Engineer to join our Low Power AI solution team at Qualcomm. As a member of this team, you will play a critical role in deploying AI models on our low power AI accelerator.

The position focuses on mapping high-level machine learning operators to low-level hardware instructions, involving various optimization techniques: graph transformation, scheduling, memory planning, individual operator implementation, quantization, etc.

Your expertise in machine learning is expected to enhance inference efficiency and accuracy of different models on our hardware architecture.

Key Responsibilities

  • Apply machine learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
  • Model, architect, and develop machine learning hardware (co-designed with machine learning software) for inference or training solutions.
  • Develop optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools) to allow specific hardware features; collaborate with team members for joint design and development.
  • Assist with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
  • Develop, adapt, or prototype complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.
  • Conduct complex experiments to train and evaluate machine learning models and/or software independently.