SoC Product Architect, NVL Fusion and Semi-Custom Silicon

Posted 25 Days Ago
Be an Early Applicant
3 Locations
In-Office
224K-426K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a SoC Product Architect, you will develop scalable architectural solutions for high-performance AI ASICs, manage hardware-software interfaces, and guide cross-team collaborations to enhance NVIDIA chip performance.
Summary Generated by Built In

NVLink Fusion is an industry disrupting product that provides CSPs and Hyperscalars building custom AI ASICs to rapidly deploy rack-scale compute with proven NVLINK scale-up architecture.

NVIDIA is hiring an Architect for the NVL Fusion and semi-custom Architecture team, unifying industry-leading CPU, GPU and system technologies. We’re looking for someone passionate about building innovative products with deep expertise in system and SoC architecture—covering high-performance accelerator connectivity, hardware coherency and HW/SW interfaces, resiliency, security, performance and power evaluation and management. Together, we will build the next generation of life changing chips. If you are a motivated individual that understands how data center AI systems are architected and built, has intimate knowledge of computer architecture, compute fabric, power management and understand chip development cycles, this is your place to be.

What You'll Be Doing:

  • Develop, evaluate, review and refine architectural solutions that are scalable across our partners and our customers

  • Contribute to specification on bus protocols, networking protocols, security, power management and performance.

  • Understand the product impact of architectural decisions across multiple dimensions including performance, power, resiliency, programmability, security, and schedule.

  • Work with teams throughout the company (Design, Implementation, Software, Circuit, Thermal, Platform, Operations, Marketing, etc...) implementing and guiding cross-team solutions to achieve product targets.

  • Analyze and explain the advantages of NVIDIA chips and guide customers, and internal/external partners to extract the most performance from our chips

What We Need To See:

  • Master's Degree in Computer Science or Electrical Engineering (or equivalent experience)

  • 15+ years of relevant work experience focused on CPU, GPU and high performance architectures.

  • Experience building complex microarchitectural structures and working with industry standard components/protocols for compute, fabric, memory, and attached devices.

  • Understanding of the performance, power and security implications of microarchitectural features.

  • Strong interpersonal, communication and teamwork skills.

  • A drive to continuously learn and expand architectural and microarchitectural breadth and depth.

Offering attractive compensation packages and extensive employee benefits, NVIDIA is widely regarded as one of the most sought-after employers in the technology industry. We have some of the most forward-thinking and hardworking people in the world working for us, and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 4, 2025.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

Bus Protocols
Cpu
Gpu
Hw/Sw Interfaces
Microarchitectural Structures
Networking Protocols
Security And Power Management Protocols
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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