NVIDIA Logo

NVIDIA

Senior SoC Subsystem and I/O Architect - LPU

Reposted 15 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 August 10, 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

6 Minutes Ago
Easy Apply
Remote or Hybrid
Texas, USA
Easy Apply
155K-221K Annually
Senior level
155K-221K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Architect and present technical Zero Trust security solutions for enterprise customers. Lead product evaluations, run proofs-of-value, gather technical requirements, configure custom solutions, and collaborate with internal teams to align Zscaler offerings to customer goals.
Top Skills: Ai ToolsNetwork SecurityZero TrustZscaler Zero Trust Exchange
6 Minutes Ago
Easy Apply
Remote or Hybrid
Texas, USA
Easy Apply
155K-221K Annually
Senior level
155K-221K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Architect and deliver technical Zscaler solutions across the sales cycle for major accounts: present products, gather requirements, run evaluations and end-to-end Proofs of Value, and collaborate with internal teams to close enterprise deals.
Top Skills: Ai ToolsNetwork SecurityZscaler
18 Minutes Ago
Remote
United States
220K-240K Annually
Expert/Leader
220K-240K Annually
Expert/Leader
Computer Vision • Digital Media • Kids + Family • Mobile • Software • Sports
Lead GameChanger's Information Security and Technology organization, owning strategy, roadmaps, and teams across product/cloud/AI security, security operations, GRC, vulnerability management, and internal IT. Partner with engineering, product, legal, and parent-company security to manage risk, incident response, and secure adoption of AI while supporting a remote-first workforce.
Top Skills: AWSNist Ai RmfNist Csf 2.0

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account