Senior Director, CAD & Design Methodology
Listed on 2026-08-10
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Engineering
Systems Engineer
Role Overview
We are looking for a Senior Director of CAD & Design Methodology to lead Velaura’send-to-end ASIC design methodology, engineering infrastructure, and CAD organization.
This role will define the tools, automation, and workflows that support chip development from RTL through signoff, packaging integration, and tapeout. The ideal
candidate has deep experience building scalable design methodologies, managing EDAecosystems and infrastructure, and leading teams that improve engineering productivity and design quality.
- Architect and own Velaura’s end-to-end ASIC development methodology—from the first line of RTL through physical implementation, signoff, packaging integration, and tapeout.
- Establish scalable, reproducible design flows across RTL, verification, synthesis, DFT, physical design, STA, physical verification, release management, and silicon bring-up support.
- Lead the evaluation, selection, deployment, and integration of best-in-class EDA tools across multiple vendors, balancing productivity, quality, flexibility, and cost.
- Define the company’s engineering infrastructure strategy, including compute, storage, networking, cloud resources, job scheduling, security, backup, and disaster recovery.
- Build automation frameworks, CI/CD pipelines, regression systems, dashboards,and engineering workflows that continually improve productivity and design quality.
- Own EDA licensing strategy, vendor relationships, procurement, budgets, IP administration, and license compliance.
- Partner with architecture, RTL, verification, physical design, packaging, software, and IT teams to remove friction and accelerate execution.
- Build, mentor, and scale a world-class CAD and methodology organization.
- Deep understanding of the complete ASIC development lifecycle, from architecture and RTL through tapeout.
- Experience developing and owning design methodologies across multiple successful SoC programs.
- Hands-on experience with EDA ecosystems from multiple vendors such as Synopsys, Cadence, Siemens EDA, Ansys, and related tools.
- Strong understanding of engineering compute infrastructure, distributed scheduling, storage systems, cloud environments, and license management.
- Excellent scripting and automation skills using Python, Tcl, Bash, or similar.
- Strong knowledge of version control, continuous integration, regression management, and reproducible engineering practices.
- Ability to make sound technical and business decisions involving tools, infrastructure, budgets, licensing, and engineering investment.
- Exceptional organizational and leadership skills, with a passion for enabling other engineers to do their best work.
- Excellent communication skills and the ability to influence senior technical leaders across disciplines.
- Experience with advanced technology nodes (N3, N2, or beyond).
- Experience building CAD organizations in an early-stage semiconductor company.
- Familiarity with AI-assisted engineering workflows and next-generation design automation.
- Experience supporting chiplet-based designs or advanced packaging.
$200,000 - $500,000 a year
Compensation & BenefitsAt Velaura, we believe exceptional talent deserves exceptional rewards. Compensation for this role includes a competitive base salary, performance-based incentives, andequity participation, allowing team members to share in the company’s long-term success.
Your base pay will depend on your skills, qualifications, experience, and location.
In addition to compensation, Velaura offers a comprehensive benefits package that may include medical, dental, and vision coverage; paid time off; flexible work arrangements; professional development opportunities; and other benefits designed to support the well-being and growth of our team.
Velaura is committed to pay equity and transparency and regularly benchmarks compensation to ensure we remain competitive in the market.
Why Velaura?Velaura is building next-generation compute technology for cloud, edge, and Physical AI. Our solutions will enable robots, autonomous systems, drones, and other intelligent machines to operate efficiently in the physical world.
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