Head of Silicon Product Engineering
Normal Computing
Mountain View, CA · Posted October 22, 2026
Just laid off? Start here: a plan for the first weeks
Want recruiters in Engineering to be able to find you?
Roles at this level, like this one at Normal Computing, are often filled through recruiters.
See every open role at Normal Computing
More in California job market · Technology & Software · Engineering jobs
More roles at Normal Computing
- Compiler Backend Engineer · Mountain View, CA
- Executive Business Partner · Mountain View, CA
- Media & PR Lead
- Platform Engineer · Mountain View, CA
- Hardware Engineer, PCB
- Compiler Frontend Engineer · Mountain View, CA
Similar jobs
- VP, Platform Engineering · Happen · San Francisco, CA
- Manager, Field Engineering · L3HARRIS Technologies · Carlsbad, CA
- Quality Engineering Manager · L3HARRIS Technologies · San Diego, CA
- Senior Director, Engineering · Skyworks Solutions · San Jose, CA
- Package Process Development - Sr. Manager, Engineering · Skyworks Solutions · Irvine, CA
- Engineering Maintenance Manager · Newell Brands · Victorville, CA
Where Mountain View, CA ranks
Where Mountain View, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for AI-skill jobs45% · of 100
- #1Best cities for AI-skill jobs in the West Coast45% · of 71
- #1Best cities for mid-career professionals in the West Coast68% · of 71
- #1Best all-round cities for mid-career professionals in the West Coast85 / 100 · of 39
- #1Best all-round cities for AI careers in the West Coast96 / 100 · of 39
- #2Best cities for finance pay after cost of living$161k · of 35
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
AI use among architectural and engineering managers is little observed so far. Measured exposure for architectural and engineering managers: 3% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
NORMAL COMPUTING | BUILD WITH US
Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), and London.
THE ROLE
Normal builds custom silicon for AI inference. As Head of Silicon Product Engineering, you will own everything that happens between a design being correct and a product being real: packaging, test and ATE, post-silicon validation and bring-up, yield and qualification, OSAT and test-house selection, and production calibration and screening of our memory products.
This is a build role. You will stand up the team, the vendor relationships, and the processes that take Normal’s silicon from tape-out through high-volume manufacturing, working at the intersection of design, manufacturing, and product to turn architectural intent into a producible, testable, reliable product at scale. You will also be setting precedent: establishing test and calibration methodology for a new silicon program as it matures toward volume.
WHAT YOU WILL OWN
- Post-Silicon Strategy: Own end-to-end bring-up, characterization, validation, and debug across multiple silicon generations.
- Packaging & Test: Define and drive packaging and test strategy, including ATE program development, test coverage, and test condition optimization for yield, quality, and performance.
- OSAT & Test-House Selection: Select, qualify, and manage OSAT and test-house partners; own the relationship through NPI and into high-volume manufacturing, including cost, quality, and yield negotiations.
- Yield & Qualification: Lead yield learning and qualification efforts from early silicon through production ramp, including root-cause analysis of systematic and random failures.
- Production Calibration & Screening: Own production calibration and screening methodology for our memory products, ensuring performance and reliability targets are met at volume.
- Team Build: Build and lead a high-performing silicon product engineering organization from the ground up, including hiring, process, and tooling.
- Cross-Functional Feasibility: Partner closely with design, architecture, and supply chain teams to ensure designs are producible, testable, and optimized for cost and yield before they become expensive to change.
- Data Infrastructure: Build the data analysis practices needed to catch failure mechanisms early: characterization and manufacturing data from wafer acceptance testing, sort, package, and system-level test.
WHAT MAKES YOU A GREAT FIT
- 15+ years in semiconductor product/test engineering, with direct ownership of silicon from NPI through high-volume manufacturing.
- Proven experience selecting and managing OSAT and foundry partners, including cost, quality, and yield negotiations.
- 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.
- A 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.
BONUS POINTS
- Experience bringing up test and qualification for a new or unconventional silicon architecture, not just a new generation of a familiar one.
- Experience with memory-adjacent product engineering (DRAM, HBM, or custom memory modules).
- Experience at an AI or high-performance compute startup where design, verification, and product engineering worked in tight iteration cycles.
- Comfort operating in an environment where the test methodology is still being invented alongside the hardware.
Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice https://normalcomputing.com/applicant-privacy-notice.