Be a thought leader and forward thinker, help drive an innovative vision for 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
Champion operational and process improvements

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

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

Structure: Reports to Director of SW Systems Engineering

Equal Employment Opportunity: Qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran
Affirmative action is taken to employ and advance protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans
Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with various Fair Chance laws
An applicant's conviction history will not be considered until after a conditional offer of employment has been made
Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining compensation
No discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status

Extreme Networks is hiring an AI Principal Machine Learning Engineer (10189)