Hardware Engineer, System Design

Job Title

Hardware Engineer, System Design

Role Summary

Lead system architecture design for Normal’s AI compute hardware across boards, chassis, interconnects, and rack-scale systems, from concept through integration and deployment.

Collaborate with hardware, software, and external partners to translate workload requirements into system-level designs that meet performance, power, thermal, and scalability targets.

Experience Level

Mid-level. The posting expects significant, hands-on experience architecting and delivering compute hardware systems; no specific years were listed.

Responsibilities

Own system-level architecture and drive technical decisions across components and scale.

• Lead hardware system architecture from concept, requirements, and specification through design reviews, integration, and production deployment.
• Translate workload and performance requirements into hardware design decisions and system topology.
• Design across boards, chassis, and rack-scale platforms, including power, thermal, interconnects, and networking.
• Define and own bring-up, system integration, validation, and qualification strategy.
• Evaluate partner and vendor designs against requirements; identify technical gaps and schedule risks early.

Requirements

Must-have skills and experience:

• Proven experience architecting complex compute hardware systems, including server- and rack-scale designs.
• Track record taking hardware systems from early requirements and architecture through specification, integration, bring-up, validation, and production deployment.
• Experience working with ODMs, suppliers, and hardware partners: reviewing designs, defining technical requirements, and driving resolution of technical issues.
• System-level judgment on topology, power delivery, thermal design, and scalable interconnects.
• Ability to collaborate across hardware, software, and cross-functional teams.

Nice-to-have:

• Experience designing high-performance AI compute systems at server and rack scale.
• Experience bringing novel hardware architectures into production-scale compute systems.

Education Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field is required. An advanced degree (MS/PhD) in Electrical Engineering, Computer Engineering, or a related field is preferred.

Normal Computing is an equal opportunity employer; all qualified applicants will receive consideration regardless of legally protected status.

Accessibility accommodations: contact accommodations@normalcomputing.com for assistance.

About the Company

Company: Normal Computing

Headquarters: New York, NY, USA

Normal Computing develops software and hardware solutions for the semiconductor and AI infrastructure industries, specializing in ASICs for image and video diffusion inference and AI accelerators. The company focuses on architecture and microarchitecture of compute blocks, PE array design, ISA co-design, and FPGA prototyping.