Edge AI Staff Engineer

April 9

Apply Now

Receive Emails with Similar Jobs

Extreme Networks

WebsiteLinkedInAll Job Openings

Extreme Networks is a global leader in cloud networking solutions. The company specializes in providing wired and wireless LAN infrastructure, network security, and cloud-based network management services. Their products and solutions, such as ExtremeCloud™ IQ and Network Fabric, are designed to simplify IT operations through automation and intelligent management. Trusted by more than half of the Fortune 50 companies, Extreme Networks helps organizations securely connect devices and applications, improve operational efficiency, and enhance customer experiences. The company is recognized for its leadership in the Gartner Magic Quadrant™ for Wired and Wireless LAN Infrastructure.

Switching • Wireless • Security • Cloud Management • Network Management

1001 - 5000 employees

Founded 1996

📡 Telecommunications

🏢 Enterprise

🔐 Security

📋 Description

•Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. •They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. •With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. •Inclusion is one of our core values and in our DNA. •We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. •Become part of Something big with Extreme!  •As a global networking leader, learn why there’s no better time to join the Extreme team. •We are seeking a talented Edge AI Staff Engineer with specialized expertise in GPU/TPU acceleration to join our team. •The ideal candidate will have extensive hands-on experience in local Large Language Models (LLM) inference with embedded GPU/TPU architectures. •As Staff Engineer specializing in Edge AI, you will play a crucial role in shaping the future Edge AI solution, leveraging the power of GPU/TPU acceleration and enterprise grade, large scale edge compute. •The successful candidate will combine technical excellence with effective leadership, creating a positive impact on both projects and team dynamics.

🎯 Requirements

•Bachelor’s degree in computer science, Engineering, or a related field; Master’s degree preferred. •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++ •Proficiency in LLM frameworks (e.g., vLLM, Text generation inference, OpenLLM, Ray Serve and HuggingFace Transformers) and deep learning libraries. •Extensive experience with GPU/TPU acceleration for AI inference, including optimization techniques (tensor, pipeline, data, sharded data parallelism) and performance tuning, •Hands on experience with one or more GPU frameworks: CUDA, Vulkan, OpenCL  •Deep knowledge of GPU memory layout, familiarity with NVIDIA Jatison, ARM Mali or relevant SoC configurations. •Knowledge of parallel computation, memory scheduling, and structural optimization •Excellent problem-solving and analytical skills, with a passion for innovation and continuous learning.