NVIDIA Logo

NVIDIA

Senior SoC Subsystem and I/O Architect - LPU

Reposted 12 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 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 26, 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.

NVIDIA Austin, Texas, USA Office

Austin, United States

Similar Jobs

An Hour Ago
Remote or Hybrid
United States
124K-165K Annually
Junior
124K-165K Annually
Junior
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Manage and engage Cadillac dealerships across an assigned Northern California territory through regular field visits (up to 75% travel). Drive vehicle and accessory sales, mentor and consult with dealer teams, support product launches and inventory management, monitor customer satisfaction, analyze local market and dealer performance, and assist with customer problem resolution to meet monthly and yearly sales objectives.
Top Skills: Excel
An Hour Ago
Remote or Hybrid
United States
88K-141K Annually
Senior level
88K-141K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Provide technical accounting support for GM Defense programs: analyze contracts and transactions for US GAAP and FAR/CAS compliance, document conclusions, advise stakeholders, support contract pursuits, maintain controls and SOX compliance, assist SAP system configuration and month-end close, and support disclosures and accounting projects.
Top Skills: ExcelMicrosoft PowerpointMicrosoft WordSAP
An Hour Ago
Remote or Hybrid
United States
Mid level
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Manage and engage Buick/GMC dealerships within the Memphis territory through frequent field visits. Drive vehicle and accessory sales, mentor and train dealership staff, support product launches and marketing alignment, monitor customer satisfaction, analyze local market and inventory, assist in problem resolution, and ensure compliance with GM sales objectives.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account