CareerPlan

AI计算装备技术工程师

Dongguan, ChinaFull-time2026-10-13 → 2026-11-10

Core

Designing and developing AI computing hardware systems (modules, boards, clusters) from architecture to production, ensuring technical feasibility and delivery quality.

Role type

Senior IC hardware systems engineer (AI computing)

Builds

AI computing hardware modules, boards, and clusters

Domain

Hardware engineering / AI infrastructure

Deliverable

production ML models

Required skills

Server system hardware design, high-speed bus design (ETH/PCIe/DDR/LPDDR), end-to-end product delivery, power/clock/signal integrity debugging, schematic design tools

Preferred skills

Thermal management solutions, high-precision interconnect design, knowledge of AI hardware technology trends

Technologies

ETH, PCIe, DDR, LPDDR

Responsibilities

Analyze AI computing hardware requirements and design architecture solutions; Lead full-process hardware development, testing, component selection, and production ramp-up; Collaborate on structural, thermal, and interconnect engineering to resolve signal integrity and heat dissipation issues.

Seniority

Senior, hands-on IC