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The Role
The role involves innovating Generative AI solutions, leading software development lifecycle, and collaborating with teams for model development and deployment in large-scale systems.
Summary Generated by Built In
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.
Senior/Staff Software Engineer (Gen AI, Big Data):
Experience : 5+ Years
Location : Seattle, WA | Toronto, Canada
Remote
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
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.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
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.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job 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
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
Preferred Qualifications
· 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
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
Top Skills
AWS
Azure
Big Data
Cloud Computing
Druid
Flink
GCP
Generative Ai
Glue
Hudi
Kafka
Lakehouse
Machine Learning
Pyspark
Spark
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The Company
What We Do
Extreme Networks, Inc. (EXTR) is a leader in cloud networking focused on delivering services that connect devices, applications, and people in new ways. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
