Hardware Engineer, Design Expert, or Architect (AI Hardware)

Location: 80% onsite in Hillsboro, Oregon, United States; office hours

Company

hirify.global is an independent research and analysis firm specializing in the semiconductor and AI industries, covering the supply chain from fabrication and hardware to AI models, software, and infrastructure.

What you will do

• Analyze the architecture of AI and datacenter hardware, including GPUs, ASICs, CPUs, custom accelerators, high-speed I/O, memory subsystems, and packaging.
• Lead end-to-end hardware teardowns and characterization using analytical tools and specialized expertise.
• Identify competitive advantages, design trade-offs, generational changes, and process-design interactions.
• Apply DTCO and STCO reasoning to interpret architecture, manufacturing, and system-level decisions.
• Co-author technical research based on physical observations, cross-industry context, and engineering analysis.
• Help expand the laboratory’s capabilities, toolchains, and research output.

Requirements

• At least 2 years of experience in hardware architecture, product design, silicon engineering, post-silicon debug, or an equivalent field, with exposure to leading-edge components.
• Strong knowledge of AI and datacenter hardware architecture, including GPUs, CPUs, and accelerators on advanced process nodes.
• Experience with physical or electrical failure analysis, fault isolation, device debugging, or related root-cause investigation.
• Understanding of Design Technology Co-Optimization principles.
• Experience with, or strong aptitude for working with, semiconductor sample preparation and analytical tools such as FIB, SEM, TEM, X-ray, and compositional analysis.
• US work authorization is required; visa sponsorship is not available.

Nice to have

• Experience in advanced packaging, including 2.5D/3D integration, high-speed interconnects, or hybrid bonding.
• Knowledge of advanced manufacturing across CMOS logic, memory, and emerging technologies.
• Ability to interpret micrographs and electrical measurements and develop physical and electrical failure-analysis toolchains.
• Python experience for data analysis and engineering tasks.
• Statistical and process-control literacy or a strong professional network of industry experts.

Culture & Benefits

• Work with a globally distributed team of more than 50 analysts and experts across the semiconductor supply chain and AI ecosystem.
• Contribute to industry research, models, consulting, technical due diligence, and public equity markets analysis.
• Build expertise in next-generation AI architectures, chiplets, heterogeneous computing, advanced packaging, HBM, and optical interconnects.
• Develop cross-layer knowledge spanning device physics, manufacturing, system architecture, workload optimization, and data-driven analysis.
• Progress toward a senior architect or subject matter expert role with influence over research direction and technical coverage.