On site | Silicon CAD Engineer IV (California) — Up to $70/hr

We are sharing a specialised remote opportunity for Silicon CAD Engineers with advanced semiconductor design experience . This project supports the development of AI systems that learn from real-world chip design workflows and engineering expertise. Experts in this role contribute their experience working with RTL-to-GDSII design flows, power analysis tools, and semiconductor design methodologies . Your knowledge helps generate high-quality technical data used to improve AI systems working on complex engineering tasks. This opportunity is ideal for experienced semiconductor engineers with strong expertise in low-power design, CAD flows, and electronic design automation (EDA) environments. Key Responsibilities Perform power analysis across multiple design stages from RTL to GDSII Identify power inefficiencies and provide feedback to design teams Develop or improve automated power analysis workflows and pipelines Support large-scale dataset generation used for power modeling Apply expertise in low-power design methodologies to analyze chip architectures Contribute structured technical insights that support AI model training These tasks help improve automated reasoning systems used in semiconductor engineering environments. Ideal Profile Strong candidates may have: 4+ years of professional experience in semiconductor or silicon design environments Experience working with RTL-to-GDSII design flows in advanced technology nodes (7nm or below) Expertise in low-power design and implementation , including power gating and multi-voltage rails Experience with power analysis tools such as PrimeTime PX or PrimePower Knowledge of scripting languages such as Python for automation or modeling Solid understanding of RTL design principles Preferred qualifications may include: Experience with synthesis or Place-and-Route (PnR) flows Experience analyzing IP blocks for power characteristics Experience building power estimation models or automation pipelines Familiarity with data analysis or machine learning workflows in engineering environments Why This Opportunity Contribute engineering expertise to frontier AI research projects Work at the intersection of semiconductor engineering and artificial intelligence Flexible remote engagement with competitive compensation Collaborate on projects that improve AI systems used in chip design workflows Contract Details Independent contractor role Fully remote with flexible scheduling Minimum commitment of approximately 15 hours per week Weekly payments via Stripe or Wise Projects may be extended or adjusted depending on performance and demand About the Platform This opportunity is available through a leading AI-driven work platform.