AI scientists to discover materials for the semiconductor industry. Backed by Y Combinator.
About the role
Our models today generate new materials and synthesis recipes faster than any lab can validate them. Many of these materials and recipes are dead ends, but a few are genuinely interesting and could lead to a novel breakthrough.
What they're looking for
- Synthesize materials across multiple classes using PVD techniques
- Build feedback loops using experimental data to filter out good, unique recipes that are worth trying from millions of bad ones
- Help stand up the lab: We’ll start at UC Berkeley’s or Stanford’s nanolabs while our systems come online
- You’ve worked with co-sputter or other combinatorial techniques
- You’ve tried new synthesis approaches, and have an ability to set up experiments that will validate or disprove new techniques
- You enjoy working with fast-paced, ambitious teams and on new problems
More about this role
Our models today generate new materials and synthesis recipes faster than any lab can validate them. Many of these materials and recipes are dead ends, but a few are genuinely interesting and could lead to a novel breakthrough.
- Synthesize materials across multiple classes using PVD techniques
- Build feedback loops using experimental data to filter out good, unique recipes that are worth trying from millions of bad ones
- Help stand up the lab: We’ll start at UC Berkeley’s or Stanford’s nanolabs while our systems come online
- You’ve worked with co-sputter or other combinatorial techniques
- You’ve tried new synthesis approaches, and have an ability to set up experiments that will validate or disprove new techniques
- You enjoy working with fast-paced, ambitious teams and on new problems
We’re Advaith and Akash. Akash has a PhD in Material Science from Stanford University, and has spent the last 11 years researching new materials for semiconductor chips. His work on new nanoscale interconnects was Stanford Engineering’s most popular story of 2025. Advaith studied AI at Carnegie Mellon and was a research engineer building video models and agents at Persona AI (acquired) and Luma...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Founding team roles · San Francisco Bay Area