Staff CAD/EDA Tools Engineer - Hybrid Cloud Tooling Lead

Cognichip; Redwood City (CA); Híbrido; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Cognichip in Redwood City, CA, seeks a Staff CAD/EDA Tools Engineer to own the application layer of our EDA tool ecosystem: wrapper scripts, CLI tooling, and container images that let engineers and AI systems run open-source and commercial design tools reliably.

You will maintain and extend internal tooling on cloud-scale pipelines, turn tool quirks into dependable software, and collaborate with DevOps, RTL design, verification, and AI/ML engineers to support end-to-end workflows.

Formación

• 10+ years of software/tools engineering in CAD/EDA infrastructure.
• Hands-on experience with open-source EDA/RTL tools such as Verilator, Yosys, Icarus Verilog.
• Strong scripting in Python and Bash; building CLI tools around third-party software.

Responsabilidades

• Maintain wrapper scripts and CLI tooling with a single interface across open-source and commercial EDA tools.
• Build, harden, and version Docker images for EDA tools and publish for reliable team use.
• Own the application layer of the EDA tool stack end-to-end and integrate new tools.
• Diagnose tool compatibility issues, version drift, and build breakages across simulators and containers.
• Collaborate with DevOps on deployment and container image content; translate needs from RTL/verification/AI engineers.

Conocimientos

Python

Bash scripting

CLI tooling

Linux troubleshooting

collaboration

Educación

Bachelor's degree in Computer Science, Electrical Engineering, or related

Herramientas

Verilator

Yosys

Icarus Verilog

Docker

Cocotb

Descripción del empleo

Cognichip in Redwood City, CA, seeks a Staff CAD/EDA Tools Engineer to own the application layer of our EDA tool ecosystem: wrapper scripts, CLI tooling, and container images that let engineers and AI systems run open-source and commercial design tools reliably.

You will maintain and extend internal tooling on cloud-scale pipelines, turn tool quirks into dependable software, and collaborate with DevOps, RTL design, verification, and AI/ML engineers to support end-to-end workflows.