Hardware Engineer (System Design)

Normal Computing Corp.; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Normal Computing Corp. in the United States is seeking a Hardware System Design Engineer to lead the system architecture of our AI compute hardware from concept to deployment.

You will shape boards, chassis, interconnects, and rack-scale designs across hardware and software teams. You will define requirements, evaluate options with ODMs and suppliers, and drive critical tradeoffs to deliver cohesive, high-performance AI systems.

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field.
• Significant experience architecting complex compute hardware systems.
• Experience with ODMs, suppliers, and hardware partners to resolve issues.
• Experience bringing hardware architectures into production-scale compute systems.
• Experience designing high-performance AI compute systems at server and rack scale.
• Advanced degree preferred.

Responsibilities

• Lead system architecture design from concept through design reviews, integration and deployment.
• Define system requirements, evaluate architectural options and drive key technical decisions.
• Collaborate with cross-functional teams and external partners to ensure performance and workload alignment.
• Lead tradesoffs and topology decisions across boards, chassis, interconnects, and rack-scale fabrics.
• Oversee bring-up, integration, validation and qualification strategies for AI compute hardware.

Skills

Hardware system architecture

ODM collaboration

Rack-scale/Server design

AI compute systems design

Bring-up and production deployment

Education

Bachelor’s degree in Electrical Engineering or Computer Engineering

Advanced degree in Electrical Engineering or Computer Engineering

Job description

• As a Hardware System Design Engineer, 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
• 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

• 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
• Significant experience architecting complex compute hardware systems, spanning server or machine-level designs through rack-scale platforms
• 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