AI Hardware Architect
NVIDIA· Architect
Santa Clara, CA, Austin, TX$184k - $287.5kFull-timePosted 7mo ago
About the role
AI Hardware Architect role focused on analyzing and architecting next-generation AI hardware, including GPUs, CPUs, and chiplets. Involves microarchitectural design, system-level integration, performance/power/security considerations, and collaboration across hardware, software, firmware, and platforms to deliver high-performance AI chips.
Responsibilities
- Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines and identify areas for improvement.
- Study the applications and models running on Nvidia hardware and their architectural implications
- Come up with microarchitectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues.
- Understand and help drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products.
- Work with software, firmware, platform and multi-functional teams on system architecture.
- Model, analyze, and explain the performance and power advantages of Nvidia solutions.
- Guide customers and firmware engineers to extract the most performance from microarchitectural structures.
Qualifications
- Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
- 8+ years of relevant industry experience
- Experience building high performance microarchitectural structures. Experience with industry standard bus protocols
- Clear 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 breadth and depth
- Excellent coding and algorithmic thinking skills. Good understanding of LLMs
- Publications or other evidence of original chip/system architecture work is a plus
Skills
Required:Mastered degree in CE/EEIndustry experienceMicroarchitectural designBus protocolsPerformance/power/security analysisCollaborationLearning agilityCoding and algorithms
Benefits
- equity
- benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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