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Chief Engineer

2 months ago

Toronto, Ontario, Canada Extreme Networks, Inc. Full time
Job Title: Staff Chief Engineer

We are seeking a highly skilled Staff Chief Engineer to lead our team in developing and deploying cutting-edge AI solutions. The ideal candidate will have extensive hands-on experience in local Large Language Models (LLM) inference with embedded GPU/TPU architectures.

Key Responsibilities:
  • Develop and optimize AI inference models for deployment on edge devices with embedded GPU/TPU accelerators, focusing on local Low Latency Model (LLM) inference.
  • Implement and fine-tune low-latency model inference pipelines to meet real-time performance requirements.
  • Conduct performance profiling and optimization to maximize the efficiency of GPU/TPU acceleration for local LLM inference.
  • Provide technical expertise and support to project teams, ensuring successful implementation and deployment of edge AI solutions.
  • Oversee project planning, execution, and delivery, ensuring alignment with business objectives.
  • Manage all phases of technical projects, from conception to completion.
Requirements:
  • Bachelor's degree in computer science, Engineering, or a related field.
  • 5+ years of hands-on experience in AI model development and deployment, with a focus on edge computing and local LLM inference.
  • Strong programming skills in languages such as Python and C++.
  • Extensive experience with GPU/TPU acceleration for AI inference, including optimization techniques (tensor, pipeline, data, sharded data parallelism) and performance tuning.
  • Deep knowledge of GPU memory layout, familiarity with NVIDIA Jatison, ARM Mali or relevant SoC configurations.
  • Experience with edge device hardware and software integration.
  • Experience with edge AI applications in domains such as robotics, autonomous vehicles, or industrial automation.
What We Offer:

Extreme Networks, Inc. is a leading provider of AI solutions, and we offer a dynamic and challenging work environment. If you are a skilled Edge AI Engineer with a passion for pushing the boundaries of edge computing and GPU/TPU acceleration, particularly in local LLM inference, we want to hear from you.