CAD & Infrastructure Team Leader

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Description

About the Business Unit

The Infrastructure team is part of the broader VLSI department within the AI-DIVISION, enabling the development of state‑of‑the‑art AI processors, DSPs, and hardware accelerators for advanced ASIC products in AI, vision, wireless, and base‑station domains.

The Infrastructure team provides cross BU, cross site support in the domains of CAD, DevOps, emulation, and automation infrastructure that supports design, verification, and release flows across multiple product lines.

About The Role

We are looking for an Infrastructure Team Leader to lead and manage a highly skilled team of 4-5 engineers, responsible for Emulation, CAD, DevOps, compute infrastructure, and automation.

This role combines 50% hands‑on and 50% manageiral technical leadership and end‑to‑end ownership of infrastructure, tooling, and release flows.

The position has a significant impact on productivity, quality, and time‑to‑market of the company’s silicon products and is reporting directly to the director of the department.

Responsibilities

Lead and mentor the Infrastructure team, including CAD, DevOps, automation, and emulation activities.

Own the definition, development, and maintenance of infrastructure: Emulation, design flows, verification flows, releases, automation, TFS Azure DevOps and CI/CD pipelines.

Drive continuous improvement of infrastructure reliability, performance, scalability, and usability.

Take end‑to‑end responsibility, cross BU, cross site VLSI releases, environments, and production readiness.

Collaborate closely with different stakeholders in the HW and SW RnD teams to align infrastructure with project needs.

Requirements

• B.Sc. / M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• 5+ years of proven hands‑on experience in CAD/DevOps/Infrastructure development.
• Previous experience in people management is not mandatory but a plus.
• Strong proficiency in scripting and automation (Python, shell, or similar).
• Solid experience designing, deploying, and maintaining CI/CD and build systems.
• Strong understanding of Unix/Linux environments and distributed compute systems.
• Excellent problem‑solving skills, ownership mentality, and clear communication abilities.
  
  

• Experience in Emulation and FPGA prototyping.
• Technical leadership experience and in-depth knowledge with different AI tools.
• Experience with cloud platforms and DevOps toolchains (e.g., Azure DevOps, TFS, or similar).
• Knowledge of version control systems (Git).
• Experience with containerization and orchestration (Docker, Kubernetes).