via LinkedIn
$120K - 160K a year
Lead full software development lifecycle and innovate with generative AI and ML solutions for next-gen networking products.
Requires extensive experience in ML solutions, generative AI, distributed big data technologies, and advanced degrees in CS or related fields.
Note: The job is a remote job and is open to candidates in USA. Extreme Networks is a global networking leader that provides end-to-end, cloud-driven networking solutions. They are seeking a Senior Software Engineer to innovate with Generative AI and Machine Learning, shaping next-gen networking experiences and driving innovation from concept to delivery. 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 Skills • 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 • 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 Benefits • Benefits Company Overview • Extreme Networks provides wired and wireless networking solutions to enhance connectivity for businesses and organizations. It was founded in 1996, and is headquartered in Morrisville, North Carolina, USA, with a workforce of 1001-5000 employees. Its website is http://www.extremenetworks.com. Company H1B Sponsorship • Extreme Networks has a track record of offering H1B sponsorships, with 29 in 2025, 22 in 2024, 25 in 2023, 26 in 2022, 23 in 2021, 30 in 2020. Please note that this does not guarantee sponsorship for this specific role.
This job posting was last updated on 2/23/2026