We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing.
What you'll be doing:
Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems.
Build and deploy AI/ML models and applications for Manufacturing of Boards and Chips.
Collaborate with business and IT teams to translate business requirements into AI-driven solutions.
Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation.
Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization.
Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support.
What we need to see:
Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field (or equivalent experience).
5+ years of software engineering experience with strong proficiency in Python and backend application development.
Hands-on experience with AL/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.
Self-driven individual with the ability to work independently in a fast-paced environment.
Ways to stand out from the crowd:
Experience with AI/ML models, Agentic AI frameworks, Model Context Protocol (MCP), LangChain, LangGraph, Autogen, or Microsoft Agent Framework.
Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms.
Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes.
Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field, or equivalent experience
- 5+ years of software engineering experience
- Strong proficiency in Python
- Backend application development experience
- 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
- Ability to work independently in a fast-paced environment
- Experience with AI/ML models, agentic AI frameworks, MCP, LangChain, LangGraph, AutoGen, or Microsoft Agent Framework
- Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms
- Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes
- Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
