NVIDIA System-On-Chip (SOC) group is hiring for a Design Engineer! The complexity of the chips we build has increased manifold over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand. We are looking for a top ASIC Design Engineer. In this role, you should have real passion for RTL design implementation and methodologies that enable high quality system-level IP design.
What you'll be doing:
Be an integral part of the team defining and developing system-level RTL and methodologies to measure performance on the industry's leading GPUs/SOCs.
Design and implement RTL features - work through the entire design cycle for SOC.
Run and debug RTL checks to ensure design quality (e.g. CDC, RDC, Lint, Synthesis, Logic-Equivalence and more)
Define, develop, and automate flows and methodologies to efficiently build and support a system-level IP
Work with architects, designers, verification and SW engineers to accomplish your tasks.
What we need to see:
B.Tech or M.Tech in Electronics or Computer Engineering.
2+ years of relevant industry experience.
Experience in RTL design (Verilog), System-On-Chip design/implementation flow, and design automation.
Good understanding of SOC architecture (e.g., CDC, multiple-power domains, performance analysis, latency, and data flow).
Strong coding skills in Perl, Python or other industry-standard scripting languages.
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).
Exposure to AI tools is a plus
Great communication and collaboration skills to interact within the team and with cross functional teams
NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and innovative people in the world. Are you passionate about joining our life work to amplify human imagination and intelligence? If you are creative, collaborative, and have real passion for design, methodology, and automation, we want to hear from you!
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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.”
