NVIDIA has been transforming accelerated computing with innovation that’s fueled by great technology—and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.What You’ll Be Doing:Play key role in design, development, and deployment of large-scale high-performance enterprise ready agent frameworks and tools..Collaborate with engineering and applied AI teams to understand specific needs and challenges of chip design and ensure our agent platform is well-suited to these needsDevelop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.Collect & organize training / fine-tuning data and help build domain specific large language models.Optimize infrastructure for performance, scalability, and reliability, and ensure secure and efficient management of data.Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.What we need to see:Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).15+ years of proven industry experienceSkilled at rapidly taking products from concept to launch and scaling them massively by performance tuning and optimizing complex, globally distributed systemsFamiliarity with modern software development stacks and tools, including containerization, cloud or on-premises deployments, API integration and real-time processing frameworks.Strong proficiency in Python, JavaScript, CI/CD, Kubernetes, Message broker architectures, data pipelines, test driven development.Strong proficiency in agentic LLM Libraries/ Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, prompt engineering, Knowledge Graphs, etc.Hands-on experience developing large-scale web applications and REST APIs, & familiarity with SQL and NoSQL databases.A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.An excellent plus if you are familiar with front-end development using React or Vue.jsNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our applied AI engineering team and help us build the future of chip design.#LI-HybridYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 27, 2025.NVIDIA is committed to fostering a diverse 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.