Senior Hardware Architect, Deep Learning GPU and System
Core
Designing next-generation GPUs and systems to accelerate deep learning workloads and advance AI performance.
Role type
Senior Hardware Architect (Deep Learning GPU and System)
Builds
Next-generation GPUs and systems for datacenters and autonomous machines
Domain
Semiconductor / Deep Learning / AI Hardware
Deliverable
production ML models
Required skills
Hardware architecture, Deep learning analysis, Performance optimization, GPU computing, Algorithmic optimization, System design, Workload analysis, Cross-functional collaboration, Feature proposal
Preferred skills
Familiarity with GPU computing (Nvidia or others)
Technologies
GPU computing, Deep Learning frameworks
Responsibilities
Analyze deep learning method behavior on current and future hardware architectures, Propose new hardware, software, or algorithmic features to accelerate workloads, Collaborate with hardware and software engineers and DL researchers, Focus on hardware architecture perspective and workload performance
