Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of experience in processor design or other high-performance semiconductor designs.
- Education
- Master’s degree in electrical engineering, Computer Engineering, Computer Science, or equivalent experience.
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Role Summary
The Senior Cache Coherency Architect will contribute to the architecture, modeling, and implementation of cache-coherent interconnect and cache subsystems for NVIDIA products. The role works with CPU, GPU, memory subsystem, SoC, IP creation, and verification teams to define and integrate coherency solutions across consumer graphics, automotive, and AI platforms.
What You'll Do
- Define interconnect architecture, cache-coherency protocols, and high-performance on-chip interconnect interfaces.
- Contribute to interconnect IP block specifications, build, verification, and integration into the NoC fabric.
- Collaborate with architects to align interconnect architecture with project power, performance, and area requirements.
- Develop and maintain functional and performance models for the NoC fabric and IP units.
- Collaborate with design and verification teams across simulation, emulation, and formal processes.
- Support silicon bring-up and post-silicon debug as needed.
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View full postingQualifications
Experience in processor or high-performance semiconductor design, cache coherency, cache-coherent interconnects, system and memory subsystem architecture, coherent IP modeling, and hardware and software development.
Required
- Deep understanding of cache coherency, with hands-on experience in industry-standard protocols (e.g., AXI, ACE, CHI).
- Experience authoring specifications and designing cache-coherent interconnects.
- Strong understanding of system and memory subsystem architecture, with a focus on cache-coherent interconnect.
- Experience developing coherent IP models (e.g., VIPs, BFMs) for simulation and emulation.
- Proficiency in C, C++, Python, and Verilog.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are seeking an experienced Senior Cache Coherency Architect to join our ambitious team at NVIDIA. This opportunity allows you to be part of a world-class organization that develops scalable, low-latency, high-bandwidth coherent interconnect systems. These systems power groundbreaking NVIDIA products such as Grace-CPU-Superchip, Grace-Hopper-Superchip, and Vera-Rubin.
In this role, you will contribute to the architecture of cache-coherent interconnect and cache subsystems, including architecture definition, modeling, and implementation. You will collaborate with CPU, GPU, memory subsystem, and SoC architects to define coherency solutions that integrate effectively into SoC designs. The role requires close partnership with multiple IP creation and verification teams throughout the project lifecycle. This position provides the chance to create a meaningful impact across product lines ranging from consumer graphics to automotive and AI platforms.
What you’ll be doing:
Define consistent interconnect architecture, cache-coherency protocols, and high-performance on-chip interconnect interfaces.
Contribute to interconnect IP block specifications, build, verification, and integration into the NoC fabric to ensure cache-coherency compliance.
Collaborate with architects to guarantee the interconnect architecture aligns with project power, performance, and area (PPA) requirements.
Develop and maintain functional and performance models for the NoC fabric and IP units to assist with analysis and validation.
Collaborate with cross-functional design and verification teams (simulation, emulation, and formal) to ensure implementations align with architectural specifications.
Support silicon bring-up and post-silicon debug as needed.
What we need to see:
Master’s degree in electrical engineering, Computer Engineering, Computer Science, or equivalent experience.
5+ years of experience in processor design or other high-performance semiconductor designs.
Deep understanding of cache coherency, with hands-on experience in industry-standard protocols (e.g., AXI, ACE, CHI).
Experience authoring specifications and designing cache-coherent interconnects.
Strong understanding of system and memory subsystem architecture, with a focus on cache-coherent interconnect.
Experience developing coherent IP models (e.g., VIPs, BFMs) for simulation and emulation.
Proficiency in C, C++, Python, and Verilog.
Join us and help build the future of computing at NVIDIA!
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 a diverse 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.