Senior CPU Fabric Architect

Posted 14 Days Ago
Be an Early Applicant
2 Locations
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior CPU Fabric Architect will develop next-gen CPU cores, enhance performance through innovative design, and collaborate with teams on microarchitectural features. Responsibilities include performance modeling, debugging, verification, and communication with design leads.
Summary Generated by Built In

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 motivated by great technology—and outstanding people. We are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. 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!

Seeking Senior CPU/Fabric Architects to develop next-gen CPU cores for various NVIDIA products. If you're passionate about enhancing CPU performance through innovative ideas, modeling, and implementation, keep reading!

What you'll be doing:

  • Work with other micro-architects and senior designers to suggest and showcase the strengths and weaknesses of new CPU & Fabric microarchitectural features. This will improve performance in targeted workloads while considering area and power consumption.

  • Perform detailed performance modeling, debugging, and studies to support the inclusion of features in the next generation core microarchitecture. Consider performance, area, and power improvement factors.

  • Partner with design and verification leads to iterate through specification, implementation in RTL and verification of the microarchitecture features to achieve target functionality, performance, frequency, area, power and verifiability.

  • Collaborate with Silicon Bring-up and Product teams to verify and debug the microarchitecture and its delivered performance.

  • Excellent communication skills and the ability to drive microarchitectural proposals within the CPU Core and collaborate effectively with colleagues across different functions within the organization, using both verbal and written communication.

What we need to see:

  • MS, PhD in a relevant CPU and Fabric microarchitecture area or equivalent experience.

  • 8+ years of relevant experiences.

  • Prior experience innovating and architecting around Coherency Protocols, Fabric topology perf/power/area tradeoffs, Fabric Congestion Management & QoS features such as cache capacity and memory bandwidth apportioning mechanisms in large core-count systems is big plus.

  • Prior experience in CPU, Fabric & SOC memory subsystem (caches, prefetchers etc.) large core-count SoCs and core CPU microarchitecture is required.

  • A deep understanding of the state of the art of CPU microarchitecture and architecture

  • Experience in one ore more of the following: Memory Subsystem CPU micro-arch (MMU/TLB, Address Gen, Load/Store Units, L1, L2 caches, Prefetch), System / SOC Fabric & Memory Subsystem Uarch, Large System Cache Coherency, Experience in control theory design and mechanisms for dynamic feedback systems.

Ways to stand out from the crowd:

  • A technology enthusiast and passionate about what you do.

  • Excellent teamwork and communication skills to effectively discuss and present microarchitectural ideas to colleagues and implementation leads using various mediums.

#LI-Hybrid

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Cpu
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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