About Architect

Architect is building the intelligence layer for chip companies to bring the time to tapeout from 3 years to 6 months. Our AI amplifies your hardware engineers across DI, DV, and PD workflows, help build IP from the ground up, and keeps you in the loop at every step.

Founded out of Stanford, we’re one of the fastest-moving Bay Area startups, blending frontier ML with deep chip design expertise to transform a trillion-dollar industry. Backed by top VCs and legendary angels, we’re assembling a world-class team of founding engineers and researchers to architect the next era of silicon.

What You’ll Do

• Play a fundamental role in shaping the technical direction of the company and identify market opportunities.
• Lead hardware engineering efforts and serve as the technical reference for ML engineers learning chip design
• Set up evaluations, benchmarks, and measurement frameworks to validate that ML models are producing correct hardware designs
• Work closely with ML team to translate hardware requirements and best practices into actionable guidance
• Guide and mentor founding hardware engineers while establishing hardware design methodologies
• Lead client calls to understand customer requirements and translate them for the engineering team

What We’d Like to See

• Degree: PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

• Chip-team experience: Led multiple tapeouts at chip companies as a senior engineer, director or VP and deep understanding of the end-to-end pre & post silicon design workflow.

• Coding skill: Can be very hands on and lead the team by an example. Ability to code in Python & Bash power user—comfortable writing scripts, data pipelines, or CI/CD around EDA flows

• EDA proficiency: Hands-on with standard Synopsys/Cadence tools (Xcelium, Genus, Innovus, etc.) and associated TCL flows

• Bonus: Prior work on AI-for-chip-design teams (e.g., Synopsys, Cadence, NVIDIA ML workflows) or DFT/power-optimization flow experience

What We Offer

• Competitive salary and equity stake
• Fast-paced startup with autonomy and visible impact
• Cutting-edge AI-driven chip design challenges