Staff Software Engineer Backend (Platform, Infrastructure, GenAI)

Extreme Networks is seeking a Staff Software Engineer Backend specializing in Platform, Infrastructure, and GenAI. This role offers an exciting opportunity to innovate with generative AI and create a global impact while tackling challenges at the forefront of machine learning. You'll be part of a team working on ground-breaking products that define the future of AI-driven network management.

As a Staff Software Engineer, you will:

• Drive innovative vision for various products and platforms
• Lead end-to-end software development lifecycle
• Design high-performance, high-scale microservices architectures
• Develop real-time online inferencing for complex models
• Mentor and develop other engineers
• Uphold high standards of technical rigor and operational excellence

Key responsibilities include:

• Thought leadership in ML solutions and business-wide innovation
• Designing and launching strategic machine learning solutions
• Crafting high-performance microservices architectures
• Developing real-time online inferencing using Triton, TensorRT, and mixed precision computing
• Mentoring team members and establishing technical direction

Required qualifications:

• Degree in mathematics/computer science or related discipline
• 5+ years of experience in complete software development lifecycle
• 5+ years of experience in Python with in-depth knowledge
• Expertise in designing RESTful APIs (e.g., FastAPI)
• Proficiency in Docker, Kubernetes, and modern CI/CD practices
• 3+ years of experience leading design and architecture of large distributed systems
• Experience as a mentor, tech lead, or leading an engineering team

Preferred qualifications:

• MS or PhD in Computer Science or equivalent ML experience
• Experience with ML technologies (PyTorch, Sagemaker, Triton, TensorRT)
• Experience with NoSQL and document databases
• Ability to handle big data, optimize workflows, and improve system performance

Extreme Networks offers a diverse and inclusive work environment, promoting an atmosphere where every employee can thrive. Join a team of highly talented engineers and advance your career in this exciting role at the intersection of networking and AI.