Senior SoC Subsystem and I/O Architect - LPU

NVIDIA Corporation; California (MO); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity compensation

Comprehensive benefits

Competitive salary

Job summary

NVIDIA seeks a Senior SoC Subsystem & I/O Architect to define high-level architecture for next‑gen AI and HPC products. Lead subsystem design across uncore IPs including PCIe/CXL, NVLink, UCIe, AXI/CHI, NoC fabrics, memory systems, and boot interfaces.

Translate product requirements into architectural specs and collaborate with IP, firmware, software, and verification teams. You will build functional/architectural models in C++, SystemC, and Python to validate concepts before RTL and silicon.

Qualifications

• 8+ years of proven experience in SoC architecture and related fields.
• Strong understanding of uncore subsystems and IO interconnects (PCIe, CXL, NVLink, UCIe).
• Experience translating product requirements into architecture and IP specs.
• Experience building architectural/functional models from specs in C++/SystemC/Python.

Responsibilities

• Define high-level SoC subsystem architecture for LPU products.
• Convert product requirements into architectural specifications for uncore, IO, memory, firmware-facing, boot, and related subsystems.
• Collaborate with IP teams to develop build documents for PCIe/CXL, NVLink, UCIe, AXI/CHI, NoC fabrics, and memory controllers.
• Specify subsystem behavior for enumeration, configuration, interrupt handling, virtualization, memory ordering, and error management.
• Build or guide functional and architectural models using C++, SystemC, Python; validate intent before RTL or silicon.
• Drive tradeoffs across bandwidth, latency, power, area, timing, reliability, security, and software usability.
• Review IP specs, architecture documents, and validation strategies; collaborate across multiple teams to finalize decisions.

Skills

SoC architecture

Subsystem architecture

IO architecture

Interconnect architecture

GPU/CPU architecture

Accelerator architecture

High-performance systems

Product-to-architecture requirements

IP/subsystem specifications

Education

BS/MS/PhD in Electrical Engineering / Computer Engineering / Computer Science

Tools

C++

SystemC

Python

Job description

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.