Senior AI and ML Software Engineer

at Nvidia

USD 140,000-270,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 4 Agentic AI @ 4 Azure @ 4 Communication @ 7 GenAI Generative AI @ 4 LLM LangChain @ 4 Machine Learning Prompt Engineering Python @ 7 RAG @ 4 Software Development @ 7 Vector Databases @ 4

Details

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.

Responsibilities

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 the 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.

Requirements

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 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.
Self-driven individual with the ability to work independently in a fast-paced environment.

Preferred Qualifications

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.

Compensation and Benefits

Level 3 base salary: USD 140,000–224,250 per year.
Level 4 base salary: USD 168,000–270,250 per year.
Eligible for equity and benefits.
Applications will be accepted at least until September 15, 2026.
NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.