Data Analytics And Applied AI Engineer- DFT Methodology

Details

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.

NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification, and post-silicon validation on some of the industry's most complex semiconductor chips.

Responsibilities

• Work on exploring Applied AI solutions for DFX and VLSI problem statements.
• Architect end-to-end generative AI solutions with a focus on LLMs, RAGs & Agentic AI workflows.
• Deploy predictive ML models for efficient Silicon Lifecycle Management of NVIDIA's chips.
• Collaborate closely with various VLSI & DFX teams to understand their language-related engineering challenges and design tailored solutions.
• Partner closely with cross-functional AI teams to provide feedback and contribute to the evolution of generative AI technologies.
• Integrate Agentic AI workflows into DFX applications and systems, staying abreast of the latest in language models and generative AI.
• Define data collection, storage, consumption, and management for next-generation AI use cases.
• Mentor junior engineers on test designs and trade-offs including cost and quality.

Requirements

• BSEE or MSEE from reputed institutions with 2+ years of experience in DFT, VLSI & Applied Machine Learning.
• Experience in Applied ML solutions for chip design problems.
• Significant experience in deploying generative AI solutions for engineering use cases.
• Good understanding of fundamental DFT & VLSI concepts - ATPG, scan, RTL & clocks design, STA, place-n-route, and power.
• Experience in application of AI for EDA-related problem-solving is a plus.
• Excellent knowledge in using statistical tools for data analysis & insights.
• Strong programming and scripting skills in Perl, Python, C++ or TCL desired.
• Strong organization and time management skills to work in a fast-paced multi-task environment.
• Self-motivated, independent, able to work with minimal day-to-day direction.
• Outstanding written and oral communication skills with curiosity to work on rare challenges.

Benefits

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you’re a creative and autonomous engineer with real passion for technology, we want to hear from you!