Job description

NORMAL COMPUTING | BUILD WITH US Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), and London. The Role As the Systems/Rack Architect, you will lead the system architecture design of Normal’s AI compute hardware end-to-end, from initial concept to specification, design reviews, integration, and deployment. You will guide system-level decisions spanning boards, chassis, interconnects, and rack-scale system design, collaborating closely across hardware, software, and other engineering teams to ensure system designs meet performance and workload requirements. You’ll define system requirements and specifications, evaluate architectural options, and drive key technical decisions as our hardware platforms evolve. You’ll evaluate partner and vendor designs against our requirements, identify technical gaps and schedule risks early, and lead system-level tradeoffs. You’ll play a central role in bringing these pieces together into cohesive, high-performance AI compute systems and driving the overall system from architecture through deployment. What You Will Own - 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. What Makes You a Great Fit - Significant experience architecting complex compute hardware systems, spanning server or machine-level designs through rack-scale platforms - Experience taking hardware systems from early requirements and architecture through specification, integration, bring-up, validation, and production 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 Bonus Points - Experience designing high-performance AI compute systems at server and rack scale - Experience bringing novel hardware architectures into production-scale compute systems - Advanced degree in Electrical Engineering, Computer Engineering, or a related field Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice normalcomputing.com.

Requirements

Must-haves

What You Will Own
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.
What Makes You a Great Fit
Significant experience architecting complex compute hardware systems, spanning server or machine-level designs through rack-scale platforms
Experience taking hardware systems from early requirements and architecture through specification, integration, bring-up, validation, and production 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

Nice-to-haves

Experience designing high-performance AI compute systems at server and rack scale
Experience bringing novel hardware architectures into production-scale compute systems
Advanced degree in Electrical Engineering, Computer Engineering, or a related field

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiaccessibility

Platform: ashby
Effort: quick