Senior Staff Engineer

4 weeks ago

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

We are seeking a highly skilled Senior Staff to join our team at Extreme Networks, Inc. as a Senior Staff Engineer.

About the Role

The ideal candidate will have extensive hands-on experience in local Large Language Models (LLM) inference with embedded GPU/TPU architectures. They will combine technical excellence with effective leadership, creating a positive impact on both projects and team dynamics.

Key Responsibilities
  • Make critical decisions regarding technical directions, scalability, and system performance.
  • 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.
  • Develop project specifications, track progress, and control costs.
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

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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