Description
We are seeking a Senior Software Development Tech Lead to join our team in Shanghai. The team develops tools and services used by software developers worldwide. Our SDK Manager application enables software developers to retrieve the correct NVIDIA's SDKs, samples, and Tools, and set up the developer’s environment on the host machine and NVIDIA target devices with minimal effort.
You will be the technical lead for incorporating agentic solutions and related AI technologies into SDK Manager workflows used by developers worldwide. This includes architecting and implementing application flows that combine agents, LLMs, tools/APIs, and internal knowledge sources into reliable, goal-focused assistants.
Key responsibilities include defining technical direction, breakdown, and quality bar for AI features, and driving them from idea to production as a hands-on IC. You will also collaborate closely with product, UX, and partner engineering teams to translate vague AI use cases into concrete product experiences.
To succeed in this role, you will need to establish guidelines for evaluation, observability, and continuous improvement of AI behaviors in production. You should have a proven track record as a technical lead or architect for significant features or products, with clear ownership of building and execution.
You will require a Master's or Ph.D. in Computer Science, Engineering, or equivalent experience, with over 8 years of direct software development experience, including substantial responsibility for complex, customer-facing systems or platforms. More than 3 years of practical experience in a technical AI position is also required.
In addition, you should have proven experience developing and deploying LLM-powered applications, with deep knowledge of diverse model architectures and capabilities. You should also be an expert in integrating LLMs with tools and data using APIs, agentic workflows and skills, retrieval-augmented techniques, orchestration frameworks, and the Model Context Protocol (MCP).
Strong systems thinking across latency, reliability, security, privacy, and cost optimization when embedding AI into real-world workflows is essential. You should also have strong hands-on coding skills in at least one of: Python, Node.js/TypeScript or Golang, plus comfort working in Linux environments. Real daily use of AI coding tools is also required.
Excellent communication skills and ability to influence technical direction across teams while remaining as an individual contributor are necessary. Ability to multitask effectively in a dynamic environment is also required.