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Salary
≈ $34k – $81k per year (Estimated)
Location
In office (Shanghai)
Seniority
Architect · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Mar 25, 2026. InfiScale scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Shanghai, China, InfiScale (InfiScale Electronic Technology) is an artificial intelligence systems and software infrastructure company specializing in AI chip toolchains and high-performance inference solutions. The company develops foundational compiler technologies, cloud-to-edge inference optimization platforms, and automated code-translation tools - including CUDA-compatible operator migration - designed to bridge diverse hardware architectures with modern machine learning frameworks and accelerate time-to-market for AI semiconductors. By facilitating high-throughput, low-power model deployment across edge servers, industrial inspection systems, medical devices, and personal computing hardware, InfiScale plays a vital role in expanding the AI chip ecosystem and lowering the barrier to scalable enterprise AI adoption.
Backed by Yunqi Partners

核心职责

1. IT 战略与架构

制定并执行与公司芯片研发战略对齐的 IT 路线图;

设计支持大规模数字/模拟/混合信号设计的 IT 基础设施(包括 Linux 工作站集群、NAS/PBS 存储、License 服务器等);

推动云(公有云/私有云)与本地 HPC 的融合架构,优化 EDA 工具运行效率。

2. EDA 与研发环境管理

管理 Cadence、Synopsys、Siemens EDA 等主流 EDA 工具的部署、许可、版本升级与性能调优;

构建高可靠、低延迟的研发网络与共享存储系统(如 Isilon、NetApp、Lustre);

支持 CI/CD 流水线在芯片验证与回归测试中的落地。

3. 信息安全与 IP 保护

建立符合 SEMI、ISO 27001、GDPR 等标准的信息安全体系;

实施芯片 IP(Intellectual Property)的分级访问控制、数据防泄漏(DLP)、终端加密与审计追踪;

管理洁净室、实验室、Fab(如适用)相关 IT 系统的安全隔离。

4. IT 运维与服务

领导 IT 运维团队,保障 7×24 小时关键系统(邮件、AD、ERP、PLM、Jira 等)稳定运行;

优化 IT 服务台(Service Desk)流程,提升工程师用户满意度;

管理 IT 预算、供应商(硬件、软件、云服务)及合同。

5. 数字化与创新

推动 PLM(产品生命周期管理)、ERP(如 SAP/Oracle)、项目管理系统与芯片研发流程深度集成;

探索 AI/ML 在芯片设计自动化(如布局布线优化、功耗预测)中的 IT 支撑能力;

支持远程办公、跨国团队协作(如与海外 design center 协同)。

任职要求

必备条件:

1.本科及以上学历,计算机、电子工程、信息管理或相关专业;

2.8 年以上 IT 管理经验,至少 3 年在半导体、芯片设计或高科技制造行业;

3.精通 Linux/Windows 混合环境、TCP/IP 网络、虚拟化(VMware/K8s)、企业存储架构;

4.熟悉主流 EDA 工具生态及 License 管理机制(如 FlexNet);

5.具备大型 HPC 集群或云计算平台(AWS/Azure/GCP)部署经验;

6.深刻理解芯片研发流程(RTL → Netlist → GDSII)及 IT 支撑痛点;

7.出色的跨部门沟通、团队领导与危机处理能力。

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