System Architect Lead: End-to-End AI Compute Hardware

Normal Computing Corp.; Mountain View (CA); On-site; USD 210,000 - 320,000; Full time

Job summary

Normal Computing is an applied AI company solving hard problems in AI and silicon. We build foundational hardware and software for the semiconductor industry and AI infrastructure, with teams across New York City, Silicon Valley (Mountain View), London, and more.

The System Architect Lead will guide end-to-end system architecture for AI compute hardware, spanning boards, chassis, interconnects, and rack-scale deployments, collaborating with hardware and software teams to ensure performance and

Qualifications

• Significant experience architecting complex compute hardware systems from concept to deployment.
• Experience guiding system-level decisions across boards, chassis, interconnects, and rack-scale designs.
• Proven ability to work with ODMs and hardware partners to drive technical requirements and issue resolution.

Responsibilities

• Lead hardware system architecture from concept through production deployment.
• Translate workloads and performance requirements into hardware decisions with cross-functional teams.
• Define bring-up, integration, validation, and qualification strategies for AI compute systems.

Skills

System architecture

Hardware design

Rack-scale systems

Education

Bachelors in Electrical/Computer Engineering

Job description

Normal Computing is an applied AI company solving hard problems in AI and silicon. We build foundational hardware and software for the semiconductor industry and AI infrastructure, with teams across New York City, Silicon Valley (Mountain View), London, and more.

The System Architect Lead will guide end-to-end system architecture for AI compute hardware, spanning boards, chassis, interconnects, and rack-scale deployments, collaborating with hardware and software teams to ensure performance and