Role overview

This is a full-stack software engineering position focused on building an enterprise Retrieval-Augmented Generation (RAG) platform. You will work at the intersection of data and AI infrastructure, partnering with NVIDIA engineering teams to deliver cutting-edge generative AI capabilities to enterprise customers. The company, which generated $3.7 billion in revenue in fiscal 2026, is expanding its presence across the AI ecosystem including hyperscalers, AI labs, and data platform providers.

Key responsibilities

Design and build full-stack features in Go and Python that enable enterprise clients to retrieve, process, and query complex data with minimal latency.
Collaborate directly with NVIDIA engineering teams to integrate advanced AI tooling and model acceleration libraries into the platform.
Lead features through their entire lifecycle, from initial concept through production deployment, including frontend development and backend microservice architecture.
Establish and maintain technical standards, automated testing frameworks, and performance benchmarks to guarantee enterprise-grade reliability and security.
Make autonomous decisions about technical approaches and trade-offs while coordinating across teams to bring new capabilities to market.

Requirements

Proven experience architecting, building, and maintaining production-grade backend microservices and modern frontend applications using Go and Python.
Hands-on experience developing Retrieval-Augmented Generation systems, large language model pipelines, or AI and machine learning-driven architectures that address complex data challenges.
Strong capacity for independent problem-solving with the ability to evaluate technical trade-offs and collaborate across functional areas.

What makes this role worth considering

This position is based in Santa Clara, California with an expectation to work primarily in the office. The role offers an annual base salary range of $180,000 to $326,000 USD, with potential eligibility for incentive pay and equity. The company has been recognized as a Fortune Best Workplace in Technology and the Bay Area, and is certified as a Great Place to Work, with benefits including flexible time off, wellness resources, and company-sponsored team events.