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.
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.Skills Required
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience
- 8+ years experience in SoC architecture, subsystem architecture, IO architecture, interconnect architecture, GPU/CPU/accelerator or high-performance systems
- Strong understanding of SoC architecture and uncore subsystem development
- Extensive understanding of IO and interconnect cores (PCIe, CXL, NVLink, NVLink-C2C, UCIe, AXI, CHI, NoC fabrics)
- Experience converting product requirements into architecture requirements and IP/subsystem specifications
- Experience crafting functional, architectural, golden, or C/SystemC models from architecture specifications
- Proficiency using C++, SystemC, Python, or similar languages to build or guide models
- Solid grasp of memory ordering, coherency, address translation, interrupts, virtualization, MMUs/IOMMUs, enumeration, configuration, and error management
- Knowledge of boot, reset, firmware handoff, capability discovery, security, RAS, debug, and power-management architecture
- Strong communication skills and ability to harmonize architecture decisions across IP, firmware, software, verification, and product groups
- Hands-on experience with LPU, GPU, CPU, AI accelerator, chiplet, or multi-die SoC architecture
- 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 secure boot, reset sequencing, RAS, debug, DFT, power sequencing, or post-silicon validation
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”








