System Architect Lead

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 | 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), London, Copenhagen, and Seoul.

The Role

As the System Architect Lead, 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 [e-mail].

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.