Senior Memory Subsystem Firmware Engineer

Posted 25 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead DRAM memory firmware from architecture through production: design and implement initialization and training sequences, characterize and tune interfaces across PVT corners, drive bring-up and validation, root-cause hardware/software issues, set firmware quality standards, and mentor junior engineers.
Summary Generated by Built In

NVIDIA's SoC Memory Subsystem team is looking for a strong, senior DRAM firmware engineer to own memory firmware from architecture through production silicon. You'll lead in areas of DRAM initialization and training across DDR/LPDDR, drive interface tuning across process, voltage, and temperature corners, and set the direction for how we take new memory interfaces from pre-silicon to production.
 

What you'll be doing:
  • Own DRAM firmware across its lifecycle — architecture, implementation, silicon bring-up, and production tuning.

  • Design and implement DRAM initialization and training sequences: training protocols, calibration algorithms, and their firmware implementation.

  • Characterize and tune the DRAM interface across PVT (process / voltage / temperature) variation to hold margins across corners.

  • Drive the memory bring-up and validation strategy; root-cause complex hardware/software interactions in the lab and in pre-silicon.

  • Set firmware quality bar — code review, profiling, and coverage — and mentor early-career engineers on the team.

  • Refining our Interface bring up and validation strategy.
     

What we need to see:
  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related field (or equivalent experience).

  • 6+ years of relevant DRAM / memory firmware development for high speed LPDDR or system DDR memories.

  • Strong command of DRAM initialization and training — protocols, calibration algorithms, and their implementation in firmware.

  • Deep understanding of DRAM interfaces and how PVT (process / voltage / temperature) variation affects timing, training, and margining.

  • Proficiency in C/C++, with a solid grasp of data structures, compilers, and build and version-control tooling.

  • Excellent debugging skills; able to decompose hard, ambiguous failures from first principles.
     

Ways to stand out from the crowd:
  • Breadth across DDR / LPDDR / HBM and multiple DRAM vendors.

  • Signal-integrity intuition and comfort working with analog/mixed-signal behavior.

  • Understanding of ASIC boot architecture.

NVIDIA is on the move and our technology and vision position us as one of the world’s most desirable employers. We have some of the most forward-thinking and versatile people on our journey. If you're inventive and autonomous, we want to hear from you!
 

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 12, 2026.

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.

Skills Required

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related field (or equivalent experience)
  • 6+ years of relevant DRAM / memory firmware development for high speed LPDDR or system DDR memories
  • Strong command of DRAM initialization and training protocols, calibration algorithms, and firmware implementation
  • Deep understanding of DRAM interfaces and PVT (process / voltage / temperature) effects on timing, training, and margining
  • Proficiency in C/C++
  • Solid grasp of data structures, compilers, and build and version-control tooling
  • Excellent debugging skills; able to decompose hard, ambiguous failures from first principles
  • Breadth across DDR / LPDDR / HBM and multiple DRAM vendors
  • Signal-integrity intuition and comfort working with analog/mixed-signal behavior
  • Understanding of ASIC boot architecture

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.

  • 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.
  • 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.
  • 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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The Company
HQ: Santa Clara, CA
21,960 Employees
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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