Normalcomputing
Head of Silicon Product Engineering
Mountain View, Remote. Posted 24 days ago
The role
You will own the process of turning silicon designs into real products through packaging, testing, validation, and manufacturing. You will build the silicon product engineering team and establish test and calibration methodologies.
What you will do
- Own end-to-end bring-up, characterization, validation, and debug across multiple silicon generations
- Define and drive packaging and test strategy
- Select, qualify, and manage OSAT and test-house partners
- Lead yield learning and qualification efforts from early silicon through production ramp
- Own production calibration and screening methodology for memory products
- Build and lead a silicon product engineering organization
- Partner with design, architecture, and supply chain teams
- Build data analysis practices for characterization and manufacturing data
Required qualifications
- 15+ years in semiconductor product/test engineering
- Direct ownership of silicon from NPI through high-volume manufacturing
- Experience selecting and managing OSAT and foundry partners
- Deep hands-on background in packaging, ATE, and post-silicon bring-up and validation
- Experience with production test and screening methodology for complex, high-reliability products
- Track record of building and scaling engineering teams from early stage
- Strong cross-functional fluency with design, architecture, and supply chain organizations
- Bachelor’s or Master’s degree in Electrical Engineering or a related field
Nice to have
- Experience bringing up test and qualification for a new or unconventional silicon architecture
- Experience with memory-adjacent product engineering (DRAM, HBM, or custom memory modules)
- Experience at an AI or high-performance compute startup
- Comfort operating in an environment where the test methodology is still being invented
About the company
Normal is an applied AI company solving problems in AI and silicon. They build foundational hardware and software for the semiconductor industry and critical AI infrastructure.