ASIC Design Engineer - Hardware

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.
 

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.
 

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:

• MS (or equivalent experience) in Electrical or Computer Engineering with 2+ years of RTL Design experience, or BS with 4+ years of RTL Design experience.

• 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 architecture, including CDC, multiple-power domains, performance analysis, latency, and data flow.

• Excellent debugging and analytical skills

• Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB)

• Great communication and collaboration skills to interact within the team and with cross-functional teams

NVIDIA is widely considered to be the leader of AI computing, and 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. If you're creative and autonomous, we want to hear from you.