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NVIDIA is seeking a Data Analytics and Applied Artificial Intelligence Engineer - DFT Methodology to work out of Bengaluru. In this full-time position, you will be applying generative artificial intelligence and machine learning applications to semiconductor design, testing, and lifecycle management; generating predictive models; establishing AI workflow integration into VLSI and DFX systems, and working globally to optimise chip performance and drive innovative improvements.
Location: Bengaluru, India
Job Type: Full Time
Job ID: JR2006389
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Design and deploy end-to-end generative AI solutions focused on LLM, RAG, and agentic AI workflows.
Discover AI-driven automation for DFX and VLSI problem statements to help drive up test efficiency and silicon performance.
Build and integrate predictive ML models for Silicon Lifecycle Management across various chip designs at NVIDIA.
Coordinate with the DFX and VLSI teams to understand various engineering challenges and arrive at appropriate AI-based solutions.
Collaborate with diverse cross-functional groups currently working with AI on the development and optimization of generative AI tools to address a wide range of engineering applications.
Providing guidance for junior engineers on DFT methodologies, trade-offs in test design, and best practices in implementing AI.
Keep up to date with the latest in emerging trends like language models, generative AI, and EDA automation.
Stay on top of the latest in emerging trends: language models, generative AI, and EDA automation.
The candidate shall possess a BSEE/MSEE degree from any reputed institution with at least 2 years of experience in DFT, VLSI, or Applied Machine Learning.
Demonstrated expertise in Applied ML for either chip design challenges or EDA-related challenges.
Experience in deploying generative AI for engineering applications.
The candidate should have fundamental knowledge of DFT and VLSI: ATPG, scan, RTL, STA, and place and route concepts.
Experiences in languages: Python, C++, Perl and TCL - for scripting and automation.
Familiarity with statistical tools to interpret and gain insight from data. Excellent organizational, communicational, and problem-solving skills.
Ability to work independently in a fast-paced multidisciplinary environment.
Experience working with Agentic AI workflows for integration into the engineering process.
Experience in EDA (Electronic Design Automation) and hardware optimization.
Demonstrated ability to mentor and work effectively with multi-national tech teams.
NVIDIA has established itself as a premier global player in AI, GPU Technology and Architecture, and offers outstanding global computing paradigms that encompass numerous areas/sectors ranging from Gaming to DataCenters and Healthcare to Automotive. NVIDIA is recognized as an innovation engine within AI, innovators in deep learning and real world views.
