We are seeking a Staff Software Engineer specializing in Generative AI and Machine Learning to shape next-generation networking experiences. This is a greenfield opportunity to drive innovation across ML, GenAI, Big Data, and Cloud platforms, influencing product vision, architecture, and technical roadmap.

Key Responsibilities

Serve as a thought leader, defining technical vision and shaping long-term ML strategy across products and platforms.
Lead the full software development lifecycle (SDLC), including architecture, design, coding, testing, deployment, and operations.
Architect and deliver high-performance, production-grade ML platforms, enabling real-time ML and Generative AI systems.
Partner with engineers, scientists, and cross-functional teams to accelerate experimentation, validation, and model integration.
Establish best practices, conduct design/code reviews, and ensure engineering rigor and solution scalability.

Requirements

Degree in Computer Science, Mathematics, or a related field.
8+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations.
8+ years of experience architecting and deploying end-to-end ML solutions in production.
Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale.
Strong experience building and operating large-scale distributed systems on cloud platforms (AWS, Azure, GCP).
Ability to solve complex, ambiguous problems and set technical direction for teams.

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.
Expertise with distributed Big Data technologies: Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue.
Demonstrated ability to mentor engineers and influence cross-team initiatives.

Staff Software Engineer Generative AI-Machine Learning