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.Position detailsTitle of position: Principal Machine Learning Engineer - Gen AI, Machine Learning, Graph MLPosition type: Full timeLocation: Seattle, WA / San Jose, CAPosition reports to: Director of SW Systems EngineeringApplication deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.Work authorization: Applicants must have legal authorization to work in the country where the role will be performed.Scope: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. About the positionBe a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.Mentor and develop other engineers on the team, establish technical direction and foster team culture.Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.Basic Qualifications:Degree in mathematics/computer science or related discipline.5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries.Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.Proficient in Docker, Kubernetes, and modern CI/CD practices.3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).Experience as a mentor, tech lead or leading an engineering team.Preferred Qualifications:MS or PhD in Computer Science or equivalent experience in ML.Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).Experience with NoSQL and document databases.Proven ability to handle big data, optimize workflows, and improve system performance.Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.This role offers a market‑competitive salary with an anticipated base compensation range of 170,000 to 240,000 USD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below.Benefits and total rewards:Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:Medical, dental, and vision insuranceFlexible work schedules and work-from-home opportunities where role permitsPaid time off, including open time off in eligible markets and statutory leave in all marketsPaid holidays in accordance with local practiceRetirement savings programs, including 401K matching in the United StatesEmployee Stock Purchase Program, where eligibleAdoption assistance and fertility treatment support, where eligibleFlexible spending accounts, where eligibleEmployee assistance programTuition reimbursement, where eligibleLife and disability insuranceBenefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.
