CAD & Engineering Infrastructure Lead

Velaura

Santa Clara (CA)

On-site

USD 200,000 - 500,000

Full time

12 days ago

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Benefits offered by this job

Equity participation
Medical, dental, and vision coverage
Paid time off
Flexible work arrangements
Professional development opportunities

Job summary

Velaura is seeking a CAD & Engineering Infrastructure Lead to build and own the engineering platform behind its silicon development, including compute infrastructure, EDA ecosystem, RTL-to-GDS release flow, and AI-assisted workflows.

You will own flow release, CI/CD pipelines, multi-vendor EDA tool deployment, licensing, procurement, and vendor strategy, while partnering with RTL, verification, DFT, physical design, and packaging teams to keep engineering productive.

Qualifications

  • Understanding ASIC development lifecycle from architecture to tapeout.
  • Experience owning CAD/infrastructure across multiple SoC programs.
  • Hands-on setup/maintenance of RTL-to-GDS flow environments.
  • Strong grasp of engineering compute infrastructure: scheduling, storage, networking, cloud.
  • Experience deploying EDA tools from multiple vendors (Synopsys, Cadence, Siemens).

Responsibilities

  • Define and drive engineering infrastructure requirements (compute, storage, job scheduling, security, backup, DR, cloud).
  • Lead AI adoption across RTL, verification, DFT, physical design, packaging, software; identify leverage and scale from pilot to standard.
  • Own design-flow CI/CD pipelines, release qualification, and QoR dashboards.
  • Provide compute capacity and deployment support for thousands of regression jobs weekly; ensure infra won’t bottleneck.
  • Own end-to-end flow release: content, testing, versioning, cadence, rollback.
  • Lead deployment and integration of multi-vendor EDA tools, balancing productivity, quality, and cost.

Skills

ASIC lifecycle
CI/CD platforms
Python scripting
EDA workflows
License management
Cloud infrastructure
Communication
Leadership

Tools

Synopsys
Cadence
Siemens EDA

Job description

Role Overview

We are looking for a CAD & Engineering Infrastructure Lead to build and own the engineering platform behind Velaura's silicon development: the compute infrastructure, EDA ecosystem, integrated RTL-to-GDS release flow, and AI-assisted workflows that every design team depends on. This role owns flow release and qualification, design-flow CI/CD pipelines, multi-vendor EDA tool deployment, and EDA licensing, procurement, and vendor strategy; domain design methodology and flow content stay with the functional teams: RTL, verification, DFT, physical design, and packaging. The ideal candidate is hands-on setting up and maintaining integrated RTL-to-GDS flow environments, understands engineering compute infrastructure and license management at scale, and has a practical view of where AI creates measurable leverage in chip development. Above all, this is someone who measures success by how productive everyone else is.

Responsibilities
  • 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.
Required Qualifications
  • Deep understanding of the complete ASIC development lifecycle, from architecture and RTL through tapeout—enough to be a credible partner to every functional team.
  • Experience owning CAD and infrastructure across multiple successful SoC programs.
  • Hands-on experience setting up and maintaining an integrated RTL-to-GDS flow environment—tool and version management, foundry and IP collateral integration, and flow release and qualification across concurrent projects.
  • Strong understanding of engineering compute infrastructure: distributed scheduling (LSF, Slurm, or equivalent), storage systems, networking, cloud environments, and license management at scale.
  • Hands-on experience with EDA ecosystems from multiple vendors such as Synopsys, Cadence, and Siemens EDA.
  • Strong knowledge of version control, CI/CD platforms, and the compute and storage patterns behind high-volume regression workloads, along with reproducible engineering practices.
  • Excellent scripting and automation skills using Python, Tcl, Bash, or similar.
  • Experience evaluating and deploying AI-assisted engineering tools and workflows, with a practical view of where they create leverage in chip development.
  • Excellent communication skills and the ability to influence senior technical leaders across disciplines.
Preferred Qualifications
  • Experience scaling infrastructure in an early-stage semiconductor company.
  • Experience with advanced technology nodes with leading foundries.
  • Experience building or operating agentic AI systems, LLM-based tooling, or AI-native design automation.
  • Experience supporting chiplet-based designs or advanced packaging.

$200,000 - $500,000 a year

Compensation & Benefits

At Velaura, we believe exceptional talent deserves exceptional rewards. Compensationfor this role includes a competitive base salary, performance-based incentives, andequity participation, allowing team members to share in the company’s long-termsuccess.

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 PhysicalAI. Our solutions will enable robots, autonomous systems, drones, and other intelligentmachines to operate efficiently in the physical world. This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape thefuture of Physical AI, we would love to hear from you.

Equal Employment Opportunity and Accommodations

Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity.Qualified applicants will receive consideration for employment without regard to race,color, religion, national origin, gender, sexual orientation, gender identity, disability orprotected veteran status. We also take affirmative action to offer employment opportunities to minorities, women, individuals with disabilities, and protected veterans.

Velaura is committed to working with qualified individuals with physical or mentaldisabilities. Applicants who would like to contact us regarding the accessibility of ourwebsite or who need special assistance or a reasonable accommodation for any part ofthe application or hiring process may contact us at: careers@velaura.ai. This contact information is for accommodation requests only. Evaluation of requests for reasonableaccommodation will be determined on a case-by-case basis.

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