CAD Engineer

NVIDIA

India, BengaluruhybridPosted 6 months ago

Skill Required

EngineeringVerilogR ProgrammingdebuggingPythonJenkinsRESTTestNGdesignLinuxCI/CDDesign PatternsPerlAPIsCICDAIMachine LearningFulltime

Key highlights

2+ years of relevant work experience
#LI-Hybrid

Role overview

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by phenomenal technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. We are now looking for Design Automation Tool development Engineers for our Tegra SOC development group. As the Lead, you will be responsible for architecting and crafting end-end tool flow to auto-generate system fabrics, sub-systems and SOC hierarchies, keeping user interface, maintainability and scalability in mind.

Responsibilities

Define next gen EDA workflows for the world's top chip designers and verification engineers.
Architect and develop tools, methodologies that bring AI in chip design cycle.
Analyze productivity bottlenecks, improve data analytics and visualizations of day-to-day workflows
Debug interesting, complex, and important problems that impact the team

Requirements

BS/MS in Computer Science or Computer Engineering or Electrical Engineering or equivalent experience
2+ years of relevant work experience
Strong problem-solving abilities and a passion for debugging
Software architecture, development, & testing experience
Solid understanding of Linux and excellent coding skills (Perl/Python)
Excellent communication and interpersonal skills
Strong software development skills and a dedication to high quality work
A proven track record to conceptualize, design and implement modular and robust EDA tools with well thought out APIs and interfaces
A deep understanding of object oriented programming

Nice to have

Exposure to RTL design/verification tools (VCS or equivalent simulation tools, debug tools like Verdi) and methodologies (UVM or equivalent)
Experience implementing scalable infrastructure solutions with frontend UX, RESTful APIs, database, visualization, and backend automation.
Experience in deploying ML components in various stages of tool.
Linux administration experience, revision control and CI/CD systems such as Jenkins