NVIDIA Logo

NVIDIA

Senior System Integration Engineer, Memory

Reposted 4 Days Ago
Be an Early Applicant
Remote or Hybrid
4 Locations
196K-311K Annually
Senior level
Remote or Hybrid
4 Locations
196K-311K Annually
Senior level
Lead HBM and LPDDR system integration and bringup for next-generation SoCs. Own memory performance, power, thermal, and reliability closure across silicon, package, board, and firmware. Drive post-silicon margining, VF shmoo, eye characterization, and correlation. Debug training, calibration, SI/PI, and system stability issues. Define validation, characterization, and issue-tracking plans to produce production-ready operating points.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today, we're harnessing the boundless possibilities of AI to build the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Accomplishing unprecedented goals calls for imagination, inventiveness, and exceptional talent from around the world. As a NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world.

NVIDIA's Silicon Co-Design Group (SCG) leads the full product development lifecycle, from early architecture definition through silicon bringup to product release. The ArchDev team is the hub for silicon and system-level feature development, driving tradeoff analysis, system integration, and POR alignment across the entire organization. This is where ideas become chips, and chips become products that define the state of the art — and we're building that future with some of the most motivated engineers in the industry. We're looking for a Senior Memory Systems Engineer to own HBM and LPDDR integration in sophisticated SoCs. This role covers the full stack, including silicon, package, embedded software, testing, and product development. The engineer will resolve the toughest system-level memory challenges throughout the process, building solutions that hold up at scale.

What you'll be doing:

  • HBM & LPDDR System Integration and Bringup: Drive HBM and LPDDR system integration, bringup, characterization, and debug for next-generation SoCs — taking memory subsystems through the full arc from first silicon to production-ready at scale.

  • Full-Stack Memory Closure: Own memory performance, power management, thermal, and reliability closure across silicon, package, board, and firmware — translating characterization results into signed-off operating points and release criteria that the full program depends on.

  • Post-Silicon Margining, VF Shmoo & Correlation: Lead post-silicon margining, VF shmoo, eye, and correlation work across voltage, temperature, and frequency — building the characterization foundation that underpins every product decision downstream.

  • Memory Debug: Training, Calibration, SI/PI & Stability: Debug and resolve memory training, calibration, SI/PI, and system-level stability issues — the class of problems that sit at the intersection of electrical, physical, and software behavior and demand deep cross-domain expertise to resolve at scale.

  • Validation & Characterization Planning: Define validation, characterization, and issue-tracking plans across chip programs — building the framework that ensures the right tests exist, the right data gets collected, and issues are tracked with enough fidelity to close.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.

#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 196,000 USD - 310,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 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.

Similar Jobs

An Hour Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, advise customers on insurance coverage and products, and convert prospects into policyholders. Representatives receive paid training and licensing support, work remotely, and must maintain a professional home workspace with wired high-speed internet. The role requires a schedule of four weekdays and one weekend day, strong communication and persuasion skills, PC proficiency, and a Property and Casualty license after hire.
Top Skills: Cable InternetDsl InternetFiber InternetPcWired High-Speed Internet
2 Hours Ago
Remote or Hybrid
Mid level
Mid level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Leads and scales a nine-person commercial sales team serving North Central U.S. accounts. Responsibilities include recruiting, training, coaching, pipeline management, forecasting, go-to-market planning, revenue growth, and cross-functional collaboration with marketing, engineering, customer success, and product teams. The manager will drive accountability, develop seller expertise, represent the company at customer and industry events, and consistently exceed regional revenue targets.
Top Skills: Cybersecurity SoftwareSaaS
3 Hours Ago
Remote or Hybrid
44K-85K Annually
Junior
44K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate property and casualty coverages, and converts prospects into policyholders. The role includes paid licensing and training, customer relationship building, sales closing, and representing the Liberty Mutual brand. Employees must work a designated weekday and weekend schedule and meet remote-work requirements, including a professional workspace and wired high-speed internet.
Top Skills: Cable InternetDsl InternetFiber InternetPcWired High-Speed Internet

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account