EDA/CAD Engineer — AI-Driven Chip Design (Equity)

Success Matcher Recruitment; Los Altos (CA); Presencial; USD 250.000 - 350.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity up to 1.5%

Visa sponsorship available

In-office Mon–Thu collaboration

Competitive compensation

Descripción de la vacante

Success Matcher Recruitment is partnering with an early-stage AI-powered semiconductor startup to build a high-performance cell characterization engine. You will tackle timing, power, and noise models for standard cells and IP, integrating SPICE simulation orchestration and Liberty model generation.

Ideal candidates have 3–10 years in EDA tool development, strong C++/Python skills, and a MS/PhD (or BS with hands-on tool-building).

Formación

• MS or PhD in Electrical Engineering, Computer Science, or a related field preferred; a bachelor’s degree with strong hands-on tool-building experience is also considered.
• 3–10 years of experience in cell characterization tools, EDA R&D, or related engineering.
• Hands-on experience with C++ and Python for engineering tool development.

Responsabilidades

• Build a scalable characterization engine for standard cells and custom IP, covering timing, power, and noise models.
• Develop and optimize SPICE simulation orchestration, parallelization, and sampling.
• Generate and validate Liberty (.lib) models for downstream static timing analysis tools.
• Build APIs connecting characterization data with AI-driven chip optimization workflows.

Conocimientos

C++

Python

SPICE tools

ED A tooling

Educación

MS/PhD in EE/CS

Bachelor with hands-on experience

Herramientas

HSPICE

Spectre

FineSim

Cadence Liberate

PrimeLib

SiliconSmart

Descripción del empleo

Success Matcher Recruitment is partnering with an early-stage AI-powered semiconductor startup to build a high-performance cell characterization engine. You will tackle timing, power, and noise models for standard cells and IP, integrating SPICE simulation orchestration and Liberty model generation.

Ideal candidates have 3–10 years in EDA tool development, strong C++/Python skills, and a MS/PhD (or BS with hands-on tool-building).