NVIDIA Logo

NVIDIA

Senior SoC Subsystem and I/O Architect - LPU

Reposted 4 Days Ago
Be an Early Applicant
Remote
3 Locations
184K-357K Annually
Senior level
Remote
3 Locations
184K-357K Annually
Senior level
Define high-level SoC subsystem and I/O architecture for LPU products, translate product requirements into architecture and IP specifications, build and validate functional/architectural models (C++, SystemC, Python), and drive tradeoffs across performance, power, reliability, and security while coordinating with IP, firmware, software, RTL, verification, and post-silicon teams.
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 tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a Senior SoC Subsystem & I/O Architect to join our ambitious LPU team. This role involves establishing the high-level architecture for next-generation AI and high-performance computing products. The role requires extensive architectural expertise across SoC subsystems and uncore IPs including PCIe/CXL, NVLink/NVLink-C2C, UCIe, AXI/CHI, NoC fabrics, memory systems, coherency, boot, system initialization, protection mechanisms, reliability, availability, serviceability, power management, debug, firmware interfaces, and platform initialization. If you are prepared to make a difference and be part of a dedicated team, this is your opportunity!

What You’ll Be Doing:

  • Define high-level SoC subsystem architecture for LPU products.

  • Convert LPU product requirements into architectural specifications for uncore, IO, memory, firmware-facing, boot, reset, safety, fault tolerance, diagnostic, and power regulation subsystems.

  • Collaborate intimately with IP teams to develop detailed build documents for PCIe/CXL, NVLink/NVLink-C2C, UCIe, AXI/CHI, NoC fabrics, memory controllers, coherency blocks, MMUs/IOMMUs, boot, reset, and associated SoC infrastructure.

  • Specify subsystem behavior encompassing enumeration, capability discovery, configuration flows, sequence control of memory operations, data consistency, address mapping, interrupt handling, virtualization, error handling, and firmware/software-visible controls.

  • Build or guide functional and architectural models from specifications, using C++, SystemC, Python, or similar languages.

  • Use models to validate architecture intent, subsystem behavior, configuration sequences, and IP interactions before RTL or silicon is available.

  • Drive tradeoffs across bandwidth, latency, power, area, timing, scalability, reliability, security, debuggability, and software usability.

  • Review IP specifications, subsystem architecture documents, model behavior, verification plans, and validation strategies.

  • Collaborate with architecture, IP, firmware, software, RTL, verification, platform, and post-silicon teams to bring architecture decisions to completion.

What We Need To See:

  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.

  • 8+ years of proven experience in SoC architecture, subsystem architecture, IO architecture, interconnect architecture, GPU/CPU architecture, accelerator architecture, or high-performance systems.

  • Strong understanding of SoC architecture and uncore subsystem development.

  • Extensive understanding of IO and interconnect cores including PCIe, CXL, NVLink, NVLink-C2C, UCIe, AXI, CHI, or NoC fabrics.

  • Experience working from product requirements to architecture requirements and IP/subsystem specifications.

  • Experience crafting functional models, architectural models, golden models, or C/SystemC models from architecture specifications.

  • Solid grasp of memory ordering, coherency, address translation, interrupts, virtualization, MMUs/IOMMUs, enumeration, configuration, and error management.

  • Solid knowledge of boot, reset, firmware handoff, capability discovery, security, RAS, debug, and power-management architecture.

  • Strong communication abilities and capability to harmonize architecture decisions across IP, firmware, software, verification, and product groups.

Ways To Stand Out from the crowd:

  • Hands-on experience with LPU, GPU, CPU, AI accelerator, chiplet, or multi-die SoC architecture.

  • Extensive knowledge in PCIe/CXL, NVLink/NVLink-C2C, UCIe, AXI/CHI, coherent fabrics, NoCs, or chip-to-chip links.

  • Extensive knowledge in formulating architecture specifications for advanced SoC subsystems.

  • Experience building executable functional models directly from product, architecture, or protocol specs.

  • Understanding of deep learning workloads, numerics, memory architecture, and bandwidth/latency tradeoffs.

  • Experience with boot architecture, reset sequencing, secure boot, RAS, debug, DFT, power sequencing, or post-silicon validation.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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

13 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
1-1 Annually
Expert/Leader
1-1 Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Leads the US SLED Sales Engineering organization by recruiting and mentoring managers and technical contributors, owning the technical sales motion, scaling sales engineering processes, developing account strategies, and serving as a technical executive sponsor for strategic customers and partners. The role requires deep network security expertise, multi-line management experience, customer-facing leadership, AI fluency, and travel of up to 40%.
Top Skills: AntivirusCachesCloud SecurityCoding AssistantsDlpEnd-User MonitoringFirewallsGenerative AiIpsecLlmsProxiesSaseSpam FilteringSpyware DetectionSslVpnWeb TechnologiesZero Trust Exchange
25 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead end-to-end Data and Analytics sales cycles with account executives, selling ServiceNow’s data, analytics, and AI portfolio. Develop strategic account plans, lead discovery sessions, value-based conversations, technical presentations, and demos, and build relationships with data, analytics, AI, and technology executives. Drive new business, data modernization initiatives, customer adoption, and measurable business outcomes across assigned accounts.
Top Skills: AIAutonomous Data AnalyticsBoomiCloud Data WarehousingData AnalyticsData AppsData GovernanceData IntegrationData ManagementDatabricksInformaticaMicrosoft FabricOracle AnalyticsPalantirPower BIQlikRaptordb ProSalesforce Data 360Servicenow Ai PlatformSnowflakeTableauThoughtspotWorkflow Data Fabric
30 Minutes Ago
Remote
United States
160K-180K Annually
Senior level
160K-180K Annually
Senior level
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Owns strategic enterprise healthcare account growth through engineering, cloud, data, and AI services. Builds executive relationships, develops account growth plans, shapes and sells engineering engagements, converts pilots into managed services, and partners with architects and delivery teams on scoping, pricing, and staffing. Navigates procurement, vendor risk, security reviews, competitive positioning, and CRM forecasting across hospital systems and healthcare provider organizations.
Top Skills: AICloud ModernizationCRMData PlatformsDatabricksEhr/EmrEpicGCPOracle HealthSnowflake

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account