5+ years of CAD, flow, or methodology experience in semiconductor or EDA companies.
Hands-on experience with major Synopsys and Cadence tools.
Strong proficiency in Python and Tcl, with solid software engineering practices.
Experience managing compute farm infrastructure using LSF, Slurm, or similar tools.
Understanding of the complete RTL-to-GDSII design flow.
Responsibilities
Build and maintain design flows across 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.
Collaborate with ML researchers to generate and curate large-scale design data.
Support customer deployments in secure on-prem environments.
Benefits
Opportunity to work at the intersection of AI and semiconductor design.
Access to cutting-edge EDA tools and technologies.
Collaborative environment with ML researchers.
Potential for involvement in innovative projects with cloud and Kubernetes-based infrastructure.
Full Job Description
About this Role
You'll build the infrastructure that connects the whole chip design flow. You'll own design flows across frontend and backend while building the bridge between industry EDA tools and Voltai's AI systems.
What You'll Do
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.
Build 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.
What We're Looking For
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, plus solid software engineering practices.
Experience with LSF, Slurm, or similar compute farm infrastructure.
Understanding of the full RTL-to-GDSII flow.
Bonus Points
Experience with cloud or Kubernetes-based EDA infrastructure.
Experience with open-source EDA tools (Yosys, OpenROAD).
