Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- 3 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of proven experience in SoC architecture, subsystem architecture, IO architecture, interconnect architecture, GPU/CPU...
- Education
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
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Role Summary
NVIDIA is seeking a Senior SoC Subsystem & I/O Architect for its LPU team to define high-level architecture for next-generation AI and high-performance computing products. The role works across uncore, I/O, memory, firmware-facing, boot, safety, reliability, power, and diagnostic subsystems and collaborates with architecture, IP, firmware, software, RTL, verification, platform, and post-silicon teams.
What You'll Do
- Define high-level SoC subsystem architecture for LPU products.
- Convert LPU product requirements into architectural specifications for uncore, I/O, memory, firmware-facing, boot, reset, safety, fault...
- Collaborate with IP teams to develop detailed build documents for interconnects, memory controllers, coherency blocks, boot, reset, and...
- Specify subsystem behavior including enumeration, capability discovery, configuration flows, memory operations, data consistency,...
- Build or guide functional and architectural models using C++, SystemC, Python, or similar languages, and use them to validate...
- Drive tradeoffs across bandwidth, latency, power, area, timing, scalability, reliability, security, debuggability, and software usability.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience; 8+ years of experience in SoC, subsystem, I/O, interconnect, GPU/CPU, accelerator, or high-performance systems architecture.
Required
- 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...
- 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...
- Solid knowledge of boot, reset, firmware handoff, capability discovery, security, RAS, debug, and power-management architecture
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.