CAD Engineer
NVIDIA · Posted Oct 18
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's Tegra SOC development group is hiring design automation tool development engineers to build EDA flows for chip design. The work covers system fabrics, sub-systems, and SOC hierarchies, with a focus on AI in the chip design cycle. This role architects end-to-end tool flows, develops modular EDA tools and methodologies, analyzes productivity bottlenecks, and debugs complex workflow problems.
What you will do
- 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
Skills used in this role
What the employer is looking for
- 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
Preferred qualifications
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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