Architect – AI-Powered Performance Verification Automation
NVIDIA Corporation (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy AI/ML-based tools and intelligent agents to automate performance verification workflows to accelerate verification cycles and improve coverage.
- Integrate LLM-based assistants into verification infrastructure for natural-language querying of verification data and design data pipelines for continuous AI model training.
- Collaborate with verification engineers to validate AI-driven solutions and establish metrics to measure impact such as cycle time reduction and engineer productivity.
Minimum Requirements
- B.Tech/M.Tech/PhD in Electrical Engineering, Computer Science, or related field.
- 3+ years of experience in hardware verification, performance validation, or EDA tool development.
- Strong programming skills in Python; familiarity with C/C++, SystemVerilog/UVM is a plus.
- Hands-on experience with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn) or LLM APIs (OpenAI, NVIDIA NIM/NeMo).
Ideal Candidate Profile
- Experienced in applying ML/AI techniques specifically to EDA or hardware verification challenges (e.g., coverage closure, bug prediction).
- Familiarity with advanced AI techniques including RAG architectures, prompt engineering, and agentic AI frameworks like LangChain or CrewAI.
- Knowledge of NVIDIA GPU/SoC architecture or equivalent complex hardware platform verification environments, demonstrated by publications or patents in AI-for-verification.