ASIC Engineering Intern, Networking Chip Design - 2027
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- Python
- Perl
We are now looking for Chip Design Internships for the Switch Silicon group. As a Chip Design Intern at NVIDIA's Networking business unit, you'll join a group of passionate engineers to implement the next generation state of the art Switch Silicon chips. In this intern position, you'll be part of a dynamic, technology-focused company while closely engaged with developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!
What you'll be doing:
• Understand the fullchip working flow and build infrastructure for better automation, efficiency.
• Work in a combined design and verification team and develops test facilities for quality assurance.
• Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.What we need to see:
• Pursuing BS / MS in electrical / computer engineering and related.
• A team player with quick learning, good communication and interpersonal skills.
• Fluent English (both written and spoken).
• Experience in RTL design or RTL verification is a plus.
• Strong scripting skills, Python/Perl is a plus.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Switch Silicon design team and help us build the next chip in this exciting and quickly growing field.
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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