Senior Solutions Architect - AI Infrastructure Engineer
NVIDIAFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
The position is onsite.
Candidates need 8+ years of experience in system or server hardware architecture, ideally in HPC, AI infrastructure, or hyperscale data centers, and a deep understanding of PCIe protocols and topologies.
Etched is building AI chips hard-coded for individual model architectures, with their first product Sohu supporting transformers for higher throughput and lower latency than a B200, enabling products impossible with GPUs. The role involves hands-on technical leadership in designing AI server platforms.
A strong candidate has 8+ years in system or server hardware architecture, ideally from HPC, AI infrastructure, or hyperscale data centers, with deep PCIe expertise and hands-on experience in platform design for AI workloads.
Develops servers for transformer inference
The company specializes in developing powerful servers for transformer inference, utilizing transformer architecture integrated into their chips to achieve highly efficient and advanced technology. The main technologies used in the product are transformer architecture and advanced chip integration.