Lead AI Compute Hardware System Architect

Normal Computing Corporation; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Normal Computing in New York seeks a Hardware System Design Engineer to lead the system architecture design of AI compute hardware from concept to deployment, guiding boards, chassis, interconnects, and rack-scale layouts to meet performance and workload requirements.

You will define requirements, evaluate options with cross-functional teams and external partners, and drive architectural decisions across the full stack from concept through production deployment.

Qualifications

• Significant experience architecting complex compute hardware systems, spanning server or rack-scale platforms.
• Experience taking hardware systems from requirements and architecture through specification, integration, bring-up, validation, and deployment.
• Experience working with ODMs, suppliers, and other hardware partners, including reviewing designs, defining technical requirements, and driving technical issues to resolution.
• Degree in Electrical Engineering, Computer Engineering, or a related field.

Responsibilities

• Lead hardware system architecture from initial concept and requirements through design reviews, integration, and production deployment.
• Translate workload and performance requirements into hardware decisions, working closely with cross-functional teams and external partners.
• Lead architecture design across boards, chassis, and racks, including system topology, power, thermal, scale-up and scale-out fabrics, and networking.
• Define and own bring-up, system integration, validation and qualification strategy.

Skills

Hardware system architecture

Education

Electrical Engineering

Computer Engineering

Job description

Normal Computing in New York seeks a Hardware System Design Engineer to lead the system architecture design of AI compute hardware from concept to deployment, guiding boards, chassis, interconnects, and rack-scale layouts to meet performance and workload requirements.

You will define requirements, evaluate options with cross-functional teams and external partners, and drive architectural decisions across the full stack from concept through production deployment.