CAD & Flow Methodology Engineer

Job Title

CAD & Flow Methodology Engineer

Role Summary

Own and develop RTL-to-GDSII design flows and infrastructure that connect frontend and backend EDA toolchains to Voltai's AI systems. The role includes building automation, data pipelines, and the operational systems required to run EDA workloads at scale.

Work with ML researchers and engineering teams to produce large-scale design data, maintain regressions and reporting, and support secure on-prem customer deployments.

Experience Level

Mid-level (5+ years experience in CAD, flow, or methodology roles)

Responsibilities

Key responsibilities include:

• Build and maintain design flows spanning RTL, synthesis, STA, place-and-route, and signoff.
• Integrate commercial EDA tools with Voltai's AI agents and data pipelines.
• Develop regression, tracking, and reporting infrastructure for design and verification.
• Manage EDA licenses, compute infrastructure, and job scheduling at scale.
• Partner with ML researchers to generate and curate large-scale design data.
• Support customer deployments in locked-down on-prem environments.

Requirements

Must-have qualifications:

• 5+ years of CAD, flow, or methodology experience at a semiconductor or EDA company.
• Hands-on experience with major Synopsys and Cadence tools.
• Strong Python and Tcl skills and solid software engineering practices.
• Experience with compute-farm infrastructure and job schedulers (LSF, Slurm, or similar).
• Practical understanding of the full RTL-to-GDSII flow.

Nice-to-have:

• Experience with cloud or Kubernetes-based EDA infrastructure.
• Experience with open-source EDA tools (Yosys, OpenROAD).
• Background in ML data pipelines.

Education Requirements

Not specified.

About the Company

Company: Voltai

Headquarters: Palo Alto, CA, United States

Voltai develops AI-driven world models and agents to design, evaluate, and optimize physical systems-focusing on hardware, electronics, and semiconductors to enable AI-led hardware co-design, performance modeling, and cross-domain optimization.