Senior ASIC Design Engineer - Hardware
NVIDIA · Austin, TX, United States
About this role
Join the NVIDIA System-On-Chip (SOC) group as an ASIC Design Engineer and make a broad impact. You will focus on improving methodologies and delivering system-level IP to measure performance across multiple projects! 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 great technology—and amazing people
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! What you'll be doing: Be an integral part of the team defining, developing, and delivering system-level methodologies and RTL to measure performance on the industry's leading GPUs and SOCs Define, develop, and automate flows and methodologies to efficiently build, deliver, and support a system-level IP Deliver IP and support projects by applying the performance monitoring system Run and debug RTL checks to ensure design quality (e.g., cross clock domains (CDC), clocks, reset, latency, and more) Design and implement RTL features (microarchitecture and RTL) Work with architects, designers, and software engineers to accomplish your tasks What we need to see: BS or equivalent experience in Electrical Engineering, Computer Engineer, or related degree required, advanced degrees (MS, PhD) a plus 3+ years of relevant industry experience and strong coding skills in Perl/Python or other industry-standard scripting languages Experience in RTL design (Verilog), verification (SystemVerilog), System-On-Chip design/implementation flow, and design automation Good understanding of SOC ar
Apply for this role on NVIDIA’s official careers site.