NVIDIA is looking for a motivated Engineer for Memory Solution (MS) Team! MS works with various teams within NVIDIA Engineering including Board Design, Signal Integrity, Design Validation, Video Bios software, ASIC, and Memory Vendors. In this role, you will be faced with the challenge of qualifying the alt memories for our p-rel products including Geforce/Quadro and Tesla. Additionally, you will collaborate with Engineers and suppliers on out-sourcing part of the testing during our busy season. Last but not least, also responsible for memory thermal and power to guarantee it's fully qualified for mass production.
What you'll be doing:
Deploy memory AC timing in Vbios
Fine tune memory interface for different type of Graphic memories and vendors
Validate the solution of memory sub-system is good with margin and no concern on stability.
P-rel with qualified alt memory and roll in for production.
Create software tools to process log files or setup database.
Extraordinary programming skills, especially on C/C++, python, Linux shell or Perl is a huge plus
Familiarity with Graphic card or GDDR/HBM memory technology
Prior hardware design experience (or internships) related to high speed subsystem design, memory controller design, High-speed IO protocols, on-chip interconnect would be much appreciated
Power or thermal knowledge
What we need to see:
Bachelor’s or master’s degree in electrical engineering or computer science/engineering or Micro Electronics (or equivalent experience)
Knowledgeable in high-speed signal design rules and basic power design methodologies
Proficiency in digital/analog circuit simulation and fault diagnosis
Have exposure experience with programming ability.
Passion for LPDDRx memory design/validation and strong problem-solving skills
Solid communication and interpersonal skills are required.
Strong oral and written in English.
5+ years' work experience in semiconductor or electron industry
Ways to stand out from the crowd:
Extraordinary programming skills, especially on C/C++, python, Linux shell or Perl is a huge plus.
Familiarity with LPDDRx memory technology
Prior hardware design experience (or internships) related to high-speed subsystem design, memory controller design, High-speed IO protocols, on-chip interconnect would be much appreciated.
Power or thermal knowledge
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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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.”
