Senior ASIC Design Engineer - Memory Controller

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior ASIC Design Engineer will design and implement advanced Memory Controllers for NVIDIA GPUs and SoCs, collaborating across teams on micro-architecture, design, RTL, synthesis, and verification while utilizing innovative CAD tools.
Summary Generated by Built In

We are now looking for a Senior ASIC Design Engineer for Memory Controllers. As a Senior Designer at NVIDIA, you'll join a group of hardworking engineers to design and implement innovative Memory Controllers for our GeForce GPUs and Tegra SoCs. In this position, you'll make a real impact in a dynamic, technology-focused company. Your work will affect product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We've crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the computing platforms of tomorrow.


What you'll be doing:

  • As a member of our Memory Subsystem Design team, you will collaborate with architects, software engineers, and circuit designers to and deliver a world-class solution. NVIDIA Memory controllers are among the industry's most complex because of the many protocols that are supported and the stringent requirements of our high end graphics controllers and SOCs.

  • In this position, you will have the opportunity to be responsible for the micro-architecture and design including RTL design, synthesis, functional verification and timing analysis using groundbreaking CAD tools and using the latest process technologies.
     

What we need to see:

  • BS or equivalent experience in Electrical Engineering or Computer Engineer or related degree required, advanced degrees (MS, PhD) a plus.

  • 5+ years of meaningful industry experience and a background in high speed DRAM and/or processor design (ie Graphics, Microprocessors, Network Processors, or Mobile / Multimedia SOCs).

  • Knowledge of HBM, GDDR, LPDDR, or DDR or related protocols.

  • You have experience with all stages in the ASIC design flow including emulation, prototyping, DFT, timing analysis, floor planning, ECO, bringup & lab debug, and ATE test development.

  • Strong working knowledge of Verilog or VHDL.

  • Experience with high speed clocking, cache interfaces and protocols.

  • Familiarity with board and system level issues.

  • Programming skills in C and/or PERL.

  • Good communication skills and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus.
     

NVIDIA is widely considered to be 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. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Memory Subsystem Design Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

Top Skills

Verilog,Vhdl,C,Perl
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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