1 day ago
Base Salary
$140k - $270k/yr
Responsibilities
- Design, develop, and deploy agentic AI applications using LLMs, RAG, and AI orchestration frameworks.
- Build scalable AI services, reusable components, secure APIs, and enterprise integrations with PLM, SAP, and other business systems.
- Build and deploy AI/ML models and applications for board and chip manufacturing.
- Translate business requirements into AI-driven solutions with business and IT teams.
- Improve solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization.
- Participate in the full software development lifecycle from solution design through deployment and production support.
Requirements
- Bachelor’s or master’s degree in Computer Science, Information Technology, AI/ML, or a related field, or equivalent experience.
- At least 5 years of software engineering experience with strong Python and backend application development proficiency.
- Hands-on experience with AI/ML, generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development.
- Experience integrating enterprise applications and building scalable, production-ready software solutions.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Preferred experience includes agentic AI frameworks, Model Context Protocol, LangChain, LangGraph, Autogen, Microsoft Agent Framework, Azure AI Services, Azure OpenAI, AI Search, vector databases, enterprise AI platforms, or enterprise AI copilots.
- Knowledge of engineering, PLM, manufacturing, or supply chain business processes is preferred.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay; the posting accepts applications at least until September 15, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.