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ASIC Design Efficiency Engineer

NVIDIA
N
apartmentNVIDIAlocation_onUS, CA, Santa ClaraschedulePosted 1 hour ago
Full-timeASIC DesignHardware AcceleratorsProcessorsMobile$116,000 - $218,500

About the Role

NVIDIA is seeking extraordinary methodology engineers to design hardware accelerators and processors on our next-generation mobile, embedded and datacenter platforms. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. Join our dynamic team today! In this role, you will develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency. You will also understand the design and implementation, develop methodology and infrastructure to drive Performance, Power and Area (PPA) improvements. A key part of the role is to execute and deliver fully verified, high performance, area and power efficient RTL to achieve design targets. Finally, you will collaborate with architects, designers, verification and VLSI teams to craft the industries' top performing GPUs.

Responsibilities

  • Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency.
  • Understand the design and implementation, develop methodology and infrastructure to drive Performance, Power and Area (PPA) improvements.
  • Execute and deliver fully verified, high performance, area and power efficient RTL to achieve design targets.
  • Collaborate with architects, designers, verification and VLSI teams to craft the industries' top performing GPUs.

Requirements

  • Bachelors Degree in EE or CE or equivalent experience.
  • 2+ years of experience.
  • Proficiency in SystemVerilog or similar HDL.
  • You have a solid understanding of logic design and computer architecture.
  • Strong interpersonal skills are required along with the ability to work in a diverse product oriented team.

Qualifications

  • Pipeline processor or deep learning accelerator design/architecture experience
  • Performance verification, low power or physical (synthesis/VLSI) design experience
  • Scripting knowledge in Python/Perl

Benefits

Eligible for equity

Benefits (refer to NVIDIA's benefits page)

  • Base salary range: 116,000 USD - 189,750 USD for Level 2
  • Base salary range: 136,000 USD - 218,500 USD for Level 3
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Frequently Asked Questions

How do I apply for this ASIC Design Efficiency Engineer position?

Click the "Apply Now" button on this page to be directed to the application. You will be taken to the employer's application page.

Is this position remote?

This role is based in US, CA, Santa Clara. Check the full description for remote or hybrid options.

What is the salary range?

The listed salary range for this position is $116,000 - $218,500. Final compensation may vary based on experience, qualifications, and location.

When was this job posted?

This position was posted about 1 hour ago. We recommend applying promptly as positions can fill quickly.

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