Senior/Staff Software Engineer (Generative AI-Big Data /10030, 10032)

Extreme Networks • Washington, DC

136d

About The Position

Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery. Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

Requirements

• Degree in Computer Science, Mathematics, or a related field
• 5+ years of full SDLC experience including design, coding, reviews, testing, deployment, and operations
• 5+ years of experience building and deploying end-to-end ML solutions in production
• Hands-on experience developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production
• Experience with large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP
• Strong ability to solve complex and ambiguous problems

Nice To Haves

• MS or PhD in Computer Science, Machine Learning, or a related discipline
• Experience with Graph ML and Graph technologies such as GNNs or Graph RAG
• Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue

Responsibilities

• Be a thought leader and forward thinker, helping drive innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation
• Lead the full software development lifecycle including design, testing, deployment, and operations, guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation
• Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks
• Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale

What This Job Offers

• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees