CPU Design Methodology Engineer

Job not on LinkedIn

November 19

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Logo of NVIDIA

NVIDIA

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

đź“‹ Description

• 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

🎯 Requirements

• A Masters in Computer or Electrical Engineering or equivalent experience • 5+ 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.

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity

Apply Now

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