CAD & Engineering Infrastructure Lead
Velaura AI develops ultra-low-power compute technology for cloud, edge, and physical AI applications. It also offers Teraflux Bitcoin mining hardware, fleet-management software, and related support for mining operators.
Maintainer signals as of 8/14/2026
Funding history
About Velaura AI
Velaura AI is a semiconductor and technology company that provides patented ultra-low-power silicon design technology, IP, toolflows, and custom chiplet solutions for AI compute platforms. Its customers include hyperscaler and XPU companies seeking reduced power consumption and higher compute efficiency. The company also builds Teraflux Bitcoin mining products, including air-, hydro-, and immersion-cooled miners, ASICs, modular containers, miner firmware, fleet-management software, and enterprise customer support.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You build and own the engineering platform behind silicon development, including compute infrastructure, EDA ecosystems, integrated RTL-to-GDS release flows, CI/CD pipelines, tool deployment, licensing, and AI-assisted workflows. You scale regression infrastructure, qualify flow releases, manage vendors and licenses, and apply AI safely to proprietary design data.
Requirements
- Deep understanding of the ASIC development lifecycle from architecture and RTL through tapeout
- Experience owning CAD and infrastructure across multiple successful SoC programs
- Hands-on experience setting up and maintaining integrated RTL-to-GDS flow environments
- Experience with tool and version management, foundry and IP collateral integration, and flow release qualification
- Strong understanding of distributed scheduling, storage systems, networking, cloud environments, and license management
- Hands-on experience with Synopsys, Cadence, and Siemens EDA ecosystems
- Knowledge of version control, CI/CD platforms, and high-volume regression workloads
- Excellent scripting and automation skills using Python, Tcl, Bash, or similar
- Experience evaluating and deploying AI-assisted engineering tools and workflows
- Experience scaling infrastructure in an early-stage semiconductor company
- Experience with advanced technology nodes, agentic AI systems, LLM-based tooling, chiplets, or advanced packaging
Responsibilities
- Define engineering infrastructure requirements for compute, storage, scheduling, security, backup, disaster recovery, and cloud
- Lead AI adoption across engineering functions
- Identify and standardize AI-assisted engineering workflows
- Own design-flow CI/CD pipelines, flow-release qualification, and result dashboards
- Provide compute, capacity, and deployment support for high-volume regressions
- Assemble, regression-test, version, deploy, and roll back qualified flow releases
- Lead deployment and integration of multi-vendor EDA tools
- Own EDA licensing strategy, vendor relationships, procurement, budgets, IP administration, and compliance
- Build and operate the platform for AI-assisted engineering
- Measure AI productivity impact and protect proprietary design data
Benefits
- Performance-based incentives
- Equity participation
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Flexible work arrangements
- Professional development opportunities