NVIDIA is looking for a best-in-class Chip Design – HW Emulation Senior Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in emulating our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company. Join NVIDIA's world-class emulation team in Israel. Our focused team takes Switches/NICs/SoCs designs and program the emulators to behave like our silicon. Are you ready to take on interesting problems and craft solutions? Come check out our team.
What you will be doing:
The main responsibility is emulation and prototyping of complex chip designs. This includes defining the methodology and crafting the infrastructure needed to quickly take large chips into hardware emulation platforms.
The job also requires close collaboration with design, verification, and software engineers to enable embedded software and application software development.
Connecting emulator/FPGA based solutions to real external H/W or virtual targets, taking care of complex testbench and different protocols.
This is a role for a versatile engineer that includes RTL design, verification, FPGA partitioning and implementation, scripting, and lab-based bring up of the design.
What we need to see:
BSC or MSC in Electrical Engineering or Computer Science or equivalent experience
4+ years working in the semiconductor industry.
Hands-on pre-silicon verification or design experience.
Experience in building test-benches and debugging simulation failures.
Experience in scripting with Python/TCL/C/Perl/Unix Shell
Strong interpersonal skills and ability & desire to innovate.
Ways to stand out from the crowd:
Experience with HW emulation platforms.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
