Senior AI Chip Design Engineer
Overview
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The Chip Design Methodologies team is responsible for establishing ASIC design methodologies, developing shared code, providing design guidance, and driving the adoption of new technologies. The team plays a key role in ensuring chip design teams operate efficiently and adhere to best practices. We are now expanding our focus to AI-powered applications for chip design — leveraging modern AI tools and methods to improve productivity, quality, and turnaround across the design flow. This role offers an exciting opportunity to think innovatively and make a significant impact within a dynamic, technology-focused organization.
What You'll Be Doing:
• Develop innovative AI-powered methodologies and applications for chip design — spanning specification, RTL, verification, and physical design
• Collaborate with chip design stakeholders across architecture, RTL, DV, FV, and physical design teams to understand existing challenges and form the best solutions
• Utilize, develop, and assimilate AI-based tools and flows into the chip design process
• Evaluate cutting-edge AI tools and EDA vendor technologies, and apply them to improve the development process
• Define and enforce design quality standards — lint rules, synthesis guidelines, and coding best practices
• Develop training sessions and guide designers with best design practices, including AI-assisted workflows
• Build automation infrastructure and scripted flows to streamline chip design development
What We Need To See:
• BSc degree in Electrical Engineering
• 10+ years hands-on pre silicon design experience
• Strong interpersonal skills, a passion for innovation, and the ability to mentor
• A natural drive to systematize, automate, and improve how things are done
• Strong AI orientation — genuine curiosity about AI-driven development, with a working understanding of the modern AI ecosystem: AI coding assistants, agentic workflows, and prompt-driven engineering practices
Ways To Stand Out From The Crowd:
• Wide system level understanding of the chip design development and flows
• Strong interpersonal skills
• Passion for innovation, quality, efficiency and flows automation
• Chip design experience combined with hands-on AI tool usage - you've used AI to solve real engineering problems
• Experience with CI/CD for hardware development (Git, GitLab, or equivalent)
NVIDIA is widely considered to be one of the technology world’s most desirable employers and has been ranked Israel’s most desirable employer for two consecutive years (2024-2025), reflecting our culture of innovation and excellence, and people-first values. Are you a creative and autonomous engineer who loves a challenge? Come join our networking chip design team and help us developing great products by bringing innovation and raising the efficiency and the quality standard in the team.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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