Lead Hardware System Architect for AI Compute & Rack-Scale

Jobtailor; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor in Mountain View, CA, seeks a Lead Hardware Architect to drive system architecture from concept through production deployment. You will translate workload and performance requirements into hardware decisions, collaborate with cross-functional teams and external partners, and lead topology, power, thermal, and rack-scale fabric designs.

The role requires designing high-performance AI compute systems at server and rack scale, bringing novel architectures into production, and guiding

Qualifications

• Experience architecting complex compute hardware systems from concept through production deployment.
• Experience taking hardware systems from early requirements and architecture through specification and bring-up.
• Experience working with ODMs and suppliers, reviewing designs and driving technical issues to resolution.
• Degrees in Electrical Engineering or Computer Engineering (advanced degrees preferred).

Responsibilities

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

Skills

Complex Compute Hardware Systems

System Topology Design

Power and Thermal Management

Scale-Up and Scale-Out Fabrics

System-Level Tradeoffs

Hardware Requirements Translation

Validation and Qualification Strategy

Production Deployment

Design Review

Technical Gap Identification

Education

Advanced Degree in Electrical Engineering

Advanced Degree in Computer Engineering

Job description

Jobtailor in Mountain View, CA, seeks a Lead Hardware Architect to drive system architecture from concept through production deployment. You will translate workload and performance requirements into hardware decisions, collaborate with cross-functional teams and external partners, and lead topology, power, thermal, and rack-scale fabric designs.

The role requires designing high-performance AI compute systems at server and rack scale, bringing novel architectures into production, and guiding