EDACAD Engineer
Job Location:
Los Altos, CA - USA
Yearly Salary:
$ 250000 - 350000
Posted:
22 October 2026 (20 hours ago)
Application Deadline:
19 January 2027
Vacancies:
1 Vacancy
Job Summary
Our client is an early-stage AI-powered semiconductor design startup transforming electronic design automation (EDA). By applying AI to chip design the company aims to optimize power performance and area while improving manufacturability. Backed by experienced founders with a publicly announced partnership with a major semiconductor foundry the team is building technology to push the boundaries of chip design.
Why Join
- Build from scratch: Own the development of a cell characterization engine comparable to leading industry tools.
- Meaningful equity: Join a founding-stage team with equity opportunities of up to 1.5%.
- Competitive compensation: $250K$350K base salary with flexibility for exceptional candidates.
- Work with industry leaders: Collaborate directly with founders technical teams and major semiconductor customers.
- Sustainable work culture: Focused in-office collaboration MondayThursday.
- Visa sponsorship available: Open to visa transfers and new sponsorship.
Key Responsibilities
- 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.
Required Experience
- 310 years of experience in cell characterization tools EDA research and development or related engineering.
- Hands-on experience with C and Python for engineering tool development.
- Strong knowledge of SPICE-based simulation tools such as HSPICE Spectre or FineSim.
- Experience with Liberty (.lib) generation timing and power characterization and tools such as PrimeLib SiliconSmart or Cadence Liberate.
- MS or PhD in Electrical Engineering Computer Science or a related field preferred; a bachelors degree with strong hands-on tool-building experience is also considered.