Extreme Networks Logo

Extreme Networks

Senior Software Engineer (Generative AI/Machine Learning) (10028, 10029) Seattle, WA/ Toronto, Canada

Posted 7 Days Ago
Be an Early Applicant
Hybrid
2 Locations
Senior level
Hybrid
2 Locations
Senior level
Lead the development of high-performance ML platforms, guide the software lifecycle, and collaborate with teams to drive innovation in Generative AI and networking solutions.
The summary above was generated by AI
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 Software Engineer (GenAI, ML):
Experience: 5+ Years
Location: Seattle, Washington/ 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, driving 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

·       Serve as a thought leader and forward thinker, setting the technical vision and driving innovation across products and platforms. Shape long-term strategy by designing and launching strategic ML solutions that deliver company-wide impact.
·       Own and guide the full software development lifecycle at scale, including architecture, design, testing, deployment, and operations. Lead technical discussions, define best practices, and ensure engineering rigor through design and code reviews.
·       Architect and deliver high-performance, production-grade ML platforms and frameworks, enabling next-generation real-time ML and Generative AI systems.
·       Partner with senior engineers, scientists, and cross-functional leaders to accelerate experimentation, validation, and model integration, ensuring solutions are robust, scalable, and aligned with business goals.

Requirements

·       Degree in Computer Science, Mathematics, or a related field
·       5+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations
·       5+ years of experience architecting and deploying end-to-end ML solutions in production environments
·       Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale
·       Strong background in building and operating large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP
·       Demonstrated ability to solve highly complex and ambiguous problems, setting direction for others


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
·       Deep expertise with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue
·       Track record of mentoring engineers and influencing cross-team initiatives
 

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

Similar Jobs

3 Hours Ago
Easy Apply
In-Office
3 Locations
Easy Apply
Senior level
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
As a Senior Software Engineer, you will build scalable infrastructure and APIs for enterprise solutions, while collaborating with cross-functional teams and guiding architecture decisions.
Top Skills: AWSGoJavaMySQLNode.jsPostgresPythonRuby
5 Hours Ago
Easy Apply
Hybrid
2 Locations
Easy Apply
Senior level
Senior level
Big Data • Cloud • Software • Database
The Senior Software Engineer will design, write, and support open-source libraries using MongoDB, collaborate with teams, investigate bugs, and mentor junior engineers.
Top Skills: Ai ToolsJavaJvmMongoDBOpen-SourceOrm FrameworksReactive Streams
Junior
Cloud • Insurance • Professional Services • Analytics • Cybersecurity
Responsible for underwriting risk, handling renewal applications, liaising with internal teams, documenting files, executing pricing strategies, and assisting marketing efforts.
Top Skills: Microsoft Office SuiteUnderwriting Software

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account