Principal Platform Architect, Agentic AI

at Nvidia
📍 Santa Clara, United States
USD 272,000-425,500 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 3 Kubernetes @ 7 Python @ 7 SQL @ 3 NoSQL @ 3 CI/CD @ 7 Algorithms @ 4 Distributed Systems @ 4 Machine Learning @ 4 JavaScript @ 7 React @ 3 Vue.js @ 3 API @ 3 LLM @ 7

Details

NVIDIA's applied AI team for chip design is building agentic systems that reason, plan, call tools and code like human engineers. This role is focused on designing, building, and operating the core infrastructure and frameworks to deploy large-scale, high-performance agentic AI systems in production to support chip design workflows.

Responsibilities

  • Play a key role in the design, development, and deployment of large-scale, high-performance, enterprise-ready agent frameworks and tools.
  • Collaborate with engineering and applied AI teams to understand the needs and challenges of chip design and ensure the agent platform meets those needs.
  • Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
  • Collect and 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 current 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.

Requirements

  • Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
  • 15+ years of proven industry experience.
  • Proven ability to rapidly take products from concept to launch and scale them massively through performance tuning and optimization of complex, globally distributed systems.
  • Familiarity 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 and JavaScript; experience with CI/CD, Kubernetes, message broker architectures, data pipelines, and test-driven development.
  • Strong proficiency with agentic LLM libraries/technologies such as LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, prompt engineering, Knowledge Graphs, etc.
  • Hands-on experience developing large-scale web applications and REST APIs, and familiarity with SQL and NoSQL databases.
  • A proactive approach to problem-solving and a willingness to acquire new skills as needed.
  • Familiarity with front-end development using React or Vue.js is an excellent plus.

Benefits

  • Base salary range: 272,000 USD - 425,500 USD (base salary will be determined based on location, experience, and pay of employees in similar positions).
  • Eligible for equity and NVIDIA benefits (see NVIDIA benefits page).
  • NVIDIA is an equal opportunity employer committed to a diverse work environment.

Applications for this job will be accepted at least until September 27, 2025.

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