Jobs / United States / Nvidia Corporation

Nvidia Corporation

SoC Product Architect, Memory Ecosystem

US, CA, Santa Clara Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Nvidia Corporation paid sponsored hires in similar roles62 certified filings for “Solutions Architect” (Sales Engineers) in CA: $139k–$199k, median $169k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Nvidia Corporation paid sponsored hires in similar roles
62 certified filings for “Solutions Architect” (Sales Engineers) in CA: $139k–$199k, median $169k. Most were filed at wage level IV (51%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

NVIDIA’s SoC Product Architecture team defines the platforms that power AI, graphics, and accelerated computing across data center, automotive, client, and edge products. As a Senior SoC Product Architect, Memory Ecosystem , you will drive NVIDIA’s external memory ecosystem across DRAM and non‑volatile flash, working with major memory vendors to align roadmaps, co‑innovate new technologies, and ensure our SoC portfolio delivers industry‑leading bandwidth, latency, power, and cost. What you’ll be doing: • Partner with all major memory vendors to understand their technology and product roadmaps (e.g., DDR/LPDDR, GDDR, HBM, NAND, emerging NVM) and align them with NVIDIA’s SoC and platform roadmaps. • Steer vendor roadmaps by articulating NVIDIA’s performance, power, capacity, form‑factor, and reliability requirements, translating SoC and system needs into clear, data‑driven feedback and requests. • Innovate new DRAM solutions in collaboration with vendors, exploring novel architectures, signaling, packaging, and power‑management techniques to meet the bandwidth, latency, and power requirements of future NVIDIA SoCs and systems. • Work closely with SoC architects, memory controller designers, and board/system teams to co‑optimize SoC + memory subsystem architecture, including channel topologies, speed grades, rank/stack configurations, and error‑management strategies. • Represent NVIDIA at regular vendor technical reviews and key technical/roadmap meetings, presenting consolidated SoC roadmap needs, performance data, and proposals, and driving clear follow‑ups and decisions. • Collaborate with sourcing, operations, substrate and PCB design, and quality teams to factor supply, cost, and reliability considerations into memory technology choices and long‑term ecosystem strategy. What we need to see: • MS in Electrical Engineering , Computer Engineering , Physics , or related field, or equivalent experience . • 18+ years of experience in DRAM / memory subsystem architecture, SoC or memory controller design, or closely related roles in semiconductor or system companies.   Deep understanding of modern DRAM technologies (e.g., DDR, LPDDR, GDDR, HBM) and non‑volatile memories (e.g., NAND flash, managed NAND/SSD), including key tradeoffs in bandwidth, latency, power, capacity, packaging, and reliability. • Proven experience working directly with memory vendors on product definition, bring‑up, or co‑development, and familiarity with how large‑scale customers influence vendor roadmaps. • Solid background in SoC and system memory subsystems , including memory controllers, PHYs, signal integrity, power delivery, and how memory choices impact overall SoC and platform performance and power. • Demonstrated ability to perform competitive analysis , including interpreting teardown data, benchmarking memory bandwidth/latency, and drawing clear architectural conclusions and recommendations. • Strong communication and presentation skills, with experience representing technical positions in vendor meetings, technical reviews, and multi-functional internal reviews. Ability to work across functions (architecture, design, systems, sourcing, operations) and regions, driving alignment and decisions without direct authority. Ways to stand out from the crowd: • Direct experience defining or architecting HBM, GDDR, or high‑speed LPDDR solutions for GPUs, AI accelerators, or high‑performance SoCs. • Hands‑on work with advanced packaging (e.g., 2.5D/3D, CoWoS, multi‑chip modules) involving high‑bandwidth memory interfaces. • Prior ownership of memory‑related driven teardowns or benchmarking programs , with clear examples of how results influenced product or technology direction. • Established relationships with major memory vendors and a history o

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