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# Senior System Integration Engineer, Memory

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $66,560.0 - $68,640.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Software Debugging, Firmware, Machine Learning, Systems Integration, Large Language Models
- **Published:** August 7, 2026
- **Apply:** https://www.jofdav.com/jobs/59129106-senior-system-integration-engineer-memory

## About the Role

* BS or MS in EE/CE - or equivalent experience.
 * 12+ years in HBM, LPDDR, or high-speed memory systems, with hands-on depth in silicon bringup, characterization, and debug at scale. PHY controller development experience is a significant plus and will set you apart.
 * Deep command of SI/PI, timing, margining, and memory training behavior - and the multi-functional fluency to work across design, package, firmware, validation, and product teams without losing the thread.
 * HBM PHY and controller architecture familiarity is useful context, but what this role actually demands is rarer: the system-level instinct to see where memory behavior is about to become a product problem - and the inventiveness to resolve it before it does.

## Description

* AI-Accelerated Debug & Root Cause Analysis: Use LLM-assisted tools and ML models to pattern-match failure signatures across VF shmoo, eye diagrams, and margining datasets - converging on root cause and outlier detection faster than manual triage, with engineering judgment setting the bar for what the model can decide.
 * Experience with HBM3/HBM3E specifics, specific JEDEC margins, thermal-electrical co-sim, ECC methodology & power management is highly desired.
 * Intelligent Test & Validation Automation: Automate data collection, test sequencing, and results analysis across characterization programs - cutting cycle time from silicon arrival to product-ready data and freeing bandwidth for problems that require human expertise.
 * LLM-Assisted Architecture & Trade-Off Exploration: Accelerate architecture exploration, spec navigation, and cross-domain trade-off analysis using LLMs - surfacing precedents from prior programs and building characterization plans for expert review.

Memory is where performance lives or dies. At the power densities and bandwidths NVIDIA's next-generation SoCs demand, memory systems engineering is one of the most consequential disciplines on the chip. The engineer in this role will have direct influence over whether products meet their performance, power, and reliability targets - and will resolve those challenges alongside some of the most motivated memory and silicon teams in the industry. We're building an encouraging environment where inventiveness is expected, and impact is real. If this is the level you want to operate at, we'd like to hear from you.


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