NVIDIA is now seeking a Senior Architect with deep experience in industry standard I/O interfaces. This role will combine development of chip requirements and architecture with participation in industry standard organizations. This position will provide the opportunity to work alongside GPU, SOC, and system architects to evaluate I/O interface and internal fabric requirements for future chip architectures
What you'll be doing:
Develop ECNs addressing requirements for new capabilities and steer them through industry standards organizations such as PCIe, CXL, and UCIe
Drive internal architecture of our designs for adoption of features and capabilities in industry specifications
Engage with customers and partner companies to develop interconnect strategies and understand requirements for our future AI and graphics systems
Work across architecture, software, hardware design, and verification teams to align functionality, compliance, and roadmaps
Conduct deep-dive analysis into PCIe performance, identifying and resolving bottlenecks , improving data throughput, and analyzing complex memory ordering requirements to ensure data consistency and efficiency
What we need to see:
BS or MS in EE, ECE, CS or equivalent experience
8+ years experience
Deep knowledge of PCIe, CXL, UCIe, or similar I/O interface technologies
Understanding of system architecture, virtual addressing/translation, interrupts, and cache coherence protocols
Experience working in industry standards bodies is a plus
Ability to identify, gather, and document requirements and write technical specifications and whitepapers for internal and external use
Excellent communication skills and ability to collaborate across diverse technical domains
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.Skills Required
- BS or MS in Electrical Engineering, Electrical and Computer Engineering, Computer Science or equivalent experience
- 8+ years experience
- Deep knowledge of PCIe, CXL, UCIe, or similar I/O interface technologies
- Understanding of system architecture, virtual addressing/translation, interrupts, and cache coherence protocols
- Experience working in industry standards bodies
- Ability to identify, gather, document requirements, and write technical specifications and whitepapers
- Excellent communication skills and ability to collaborate across diverse technical domains
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.
-
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.
-
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.
-
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.”
.jpeg)
