1,962,733open jobs
115,624companies
242,268added this week
Browse all
Salary
≈ $336k – $609k per year (Estimated)
Location
Hybrid (Mountain View, United States)
Seniority
Architect · 15+ years exp
Visa
H-1B filings in 12 months: 1 · for this role: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026. Normal Computing scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Normal Computing is an artificial intelligence and semiconductor technology company headquartered in New York City, New York, and founded in 2022. The firm develops a full-stack platform including AI-native Electronic Design Automation software and thermodynamic Application-Specific Integrated Circuits designed to optimize AI inference and long-context reasoning. Backed by investors such as Samsung Catalyst, the company partners with major semiconductor manufacturers to deploy its co-design solutions for complex system-on-chip verification and hardware acceleration.

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), London, Copenhagen, and Seoul.

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 [email protected].

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,962,733 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Recommended for you based on this role

Hardware
Similar stack
Same company
Mountain View
$171k – $293k per year • In office • 10+ years exp • Bachelor's Degree • United States
Robotics
Digital Twin
Apply
Director, Cache RTL 1 hour ago
≈ $200k – $362k per year (Estimated) • In office • Bachelor's Degree • Fort Collins
Verilog
SystemVerilog
Apply
Lead SoC Architect 1 hour ago
≈ $164k – $311k per year (Estimated) • In office • Master's Degree • San Jose
Apply
$116k – $175k per year • In office • Secret • Full-Time • Bachelor's Degree • Chandler
DevOps
Linux
Windows
Apply
$98k – $148k per year • In office • Secret • Full-Time • Bachelor's Degree • Chandler
DevOps
Linux
Windows
Apply
Firmware Engineer 2 days ago
≈ $205k – $375k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • Mountain View
AI/ML
AI Agents
Apply
≈ $162k – $306k per year (Estimated) • Hybrid • Full-Time • 7+ years exp • Mountain View
Python
AI/ML
AI Agents
Chips/EDA
Tessent
Synopsys TestMAX
Apply
≈ $207k – $378k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • Mountain View
Python
C++
SystemC
AI/ML
AI Agents
Apply
Memory Architect 2 days ago
≈ $250k – $456k per year (Estimated) • Hybrid • Full-Time • Mountain View
Python
C++
SystemVerilog
AI/ML
Machine Learning
Apply
≈ $178k – $403k per year (Estimated) • Hybrid • Full-Time • Mountain View
Python
Perl
Apply
≈ $95k – $185k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • Mountain View
Python
C++
Chips/EDA
Cadence Allegro
Apply
$210k – $284k per year • Equity • In office • Full-Time • 8+ years exp • Bachelor's Degree • Mountain View
AI/ML
AI Agents
Machine Learning
DevOps
AWS
FinOps
Cybersecurity
GDPR
HIPAA
Management
Agile
Apply
≈ $175k – $386k per year (Estimated) • In office • PhD • Mountain View
Python
AI/ML
Reinforcement Learning
JAX
AI Agents
TensorFlow
PyTorch
Machine Learning
Apply
≈ $195k – $399k per year (Estimated) • In office • 10+ years exp • Bachelor's Degree • Mountain View
AI/ML
Machine Learning
Apply
≈ $198k – $397k per year (Estimated) • In office • 1+ year exp • Mountain View
Python
C++
C++
PyTorch C++
AI/ML
vLLM
RLHF
Reinforcement Learning
Quantization
JAX
SGLang
TensorRT
TensorRT-LLM
PyTorch
LLM
Synthetic Data
CUDA
Triton
Post-training
RLAIF
Apply
See all jobs
This is one of many
1,962,733 more open roles from verified company boards, updated every day.