Senior Software Engineer - AI Surfaces
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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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
177K – 228K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 215 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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