● Define and drive Velaura’s engineering infrastructure requirements covering compute, storage, job scheduling, security, backup, disaster recovery and cloud in partnership with stakeholders.
● Lead AI adoption across engineering functions including RTL, verification, DFT, physical design, packaging, software, and CAD itself. Identify where AI-assisted workflows create measurable leverage and drive them from pilot to standard practice.
● Own design-flow CI/CD pipelines including orchestration, flow-release qualification, and result/QoR dashboards
● Provide the compute, capacity, and deployment support that functional regressions run on, scaling to thousands of jobs per week; teams own their regression content, triage, and pass/fail criteria, and this role makes sure the infrastructure underneath never becomes the bottleneck.
● Own flow release process end to end: assemble team-owned flow content into qualified releases, regression-test before deployment, and manage versioning, cadence, and rollback — keeping handoffs from RTL through synthesis, place-and-route, and signoff consistent.
● Lead the deployment, and integration of EDA tools across multiple vendors, balancing productivity, quality, flexibility, and cost.
● Own EDA licensing strategy, vendor relationships, procurement, budgets, IP administration, and license compliance.
● Build and operate the platform behind AI-assisted engineering—model access, agentic tooling, compute capacity, and data pipelines—with the security and IP guardrails required to apply AI to proprietary design data safely, measuring productivity impact and retiring what doesn’t pay off.