CPU Design Methodology Engineer
NVIDIA
CPU Design Methodology Engineer
NVIDIA
Designs the chips and software that power AI
We are now looking for a Senior CPU Design Methodology Engineer!
The complexity of chip development has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA CPU team is looking for a top ASIC Engineer with an interest in SOC design automation, RTL integration, and chip build and assembly. You should be passionate about developing methodologies and automation solutions that enable SOC creation in the most optimized way. In this position, you will get the chance to build complex chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams.
What you'll be doing:
Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner
Identify inefficiencies and improvement opportunities in the front-end chip implementation process and propose ideas to address them
Own front-end design quality checks and reviews to present the physical design team with high-quality RTL
What we need to see:
A Masters in Computer or Electrical Engineering or equivalent experience
8+ years of experience in chip design, specializing in SOC integration and design automation
Excellent analytical and problem-solving skills
Experience in RTL design (Verilog), verification (UVM, System Verilog), System-On-Chip design/integration flow, and design automation
Strong coding skills in Perl, Python, or other industry-standard scripting languages
Experience in synthesis and physical design is a plus
Good interpersonal skills.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We employ some of the most forward-thinking and hardworking people in the world. Are you passionate about becoming a part of an outstanding team supporting the latest in CPU technology? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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