CAD & Engineering Infrastructure Lead

What you'll do

• Define and drive engineering infrastructure requirements for compute, storage, scheduling, security, backup, disaster recovery, and cloud.
• Lead design-flow CI/CD, release qualification, regression support, and deployment of multi-vendor EDA tools.
• Drive AI adoption and operate AI engineering infrastructure, including model access, agentic tools, compute, and data pipelines.

What they ask for

• Deep understanding of the ASIC development lifecycle and experience owning CAD and infrastructure across multiple successful SoC programs.
• Hands-on experience setting up and maintaining integrated RTL-to-GDS flows, including tool and version management, collateral integration, and release qualification.
• Strong understanding of engineering compute infrastructure, including scheduling, storage, networking, cloud, and license management at scale.
• Experience with multi-vendor EDA ecosystems, CI/CD and version control, high-volume regression workloads, scripting, and deploying AI-assisted engineering tools.

Nice to have

• Experience scaling infrastructure in an early-stage semiconductor company or with advanced technology nodes.
• Experience with agentic AI systems, LLM-based tooling, AI-native design automation, chiplet designs, or advanced packaging.

Pay

USD 200,000–300,000 (per-year-salary) base salary

Tools

LSF, Slurm, Synopsys, Cadence, Siemens EDA, Python, Tcl, Bash

AI focus

Lead adoption of AI-assisted engineering workflows and operate the platform behind them, including model access, agentic tooling, compute, and data pipelines; measure productivity impact and protect proprietary design data.