368,634open jobs
9,437companies
50,578added this week
Browse all
Salary
$200k – $400k per year
Location
Remote/Hybrid (New York, United States, London, United Kingdom)
Seniority
Senior · 5+ years exp
Employment
Full-Time
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, San Francisco, London, Copenhagen, and Pangyo.

The Role

As an AI Product Engineer at Normal, you will build AI-native products and workflows for semiconductor engineers. This role sits at the intersection of product engineering, AI systems, and developer tooling. You'll ship real improvements to hardware teams who want to design and verify chips more efficiently, while pushing the boundaries of what's possible in AI for engineering through innovations in interface and workflow design, data modeling, and harness engineering.

What You Will Own

  • UX & AX: Architect interfaces and workflows that make highly technical systems intuitive and usable for chip engineers, as well as the agentic system they use.

  • Partnership: Partner closely with AI engineers, researchers, hardware engineers, and users to turn ambiguous workflow problems into clear requirements, explicit system behaviors, evaluation criteria, and working product features.

  • End to End Product: Understand the user problem and define the workflow through implementation, deployment, evaluation, and iteration across frontend, backend, data, and AI systems.

  • Judgment: Design and build product experiences for complex engineering workflows, taking them from initial prototype through the final layers of usability, reliability, performance, and polish required for production adoption.

  • Raise the Quality Bar: Identify subtle workflow, UX, and architectural weaknesses that make a system merely functional rather than genuinely effective.

  • AI-Native Execution: Use AI systems to accelerate implementation, exploration, testing, and analysis while maintaining clear ownership of requirements, verification, and final quality.

What Makes You a Great Fit

  • 5+ years of experience building and shipping full stack products, ideally in fast-moving startup or zero-to-one environments

  • Strong proficiency in TypeScript and React, with deep understanding of modern frontend architecture and how web technologies work

  • Experience building backend systems in Python, Node.js or other popular languages, with the ability and desire to contribute across the stack

  • A high bar for product and engineering quality, with the ability to identify subtle UX regressions, incomplete edge-case handling, and architectural choices that create long-term maintenance costs.

  • Effective in ambiguous environments: you proactively reduce uncertainty, identify the decisions that matter, and turn evolving product direction into concrete, testable plans.

  • Reliable, resourceful, and execution-oriented: you deliver on commitments, adapt quickly, and maintain a high standard for quality

  • Experience building AI-powered products, working with LLMs, or collaborating closely with ML teams

Bonus Points

  • Meaningful experience working within the semiconductor industry or building software for hardware engineering workflows

  • Experience building developer tools, workflow systems, IDE extensions, or highly technical internal or business-facing products

  • Familiarity with harness engineering, orchestration systems, or evaluation tooling

  • Experience with visual design or building polished, user-centric interfaces

  • Able to become productive quickly in unfamiliar technical domains by learning the relevant concepts, vocabulary, constraints, and validation methods without requiring prior mastery of every implementation detail.

  • Experience as an engineering manager or owning a product end-to-end.

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 Privacy Policy.

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.
368,634 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
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
New York
$77k – $140k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Berlin
Node JS
TypeScript
JavaScript
Node JS
Prisma
Databases
PostgreSQL
Redis
Frontend
Next.js
Tailwind CSS
tRPC
React.js
Apply
$93k – $140k per year • In office • Full-Time • 3+ years exp
Node JS
TypeScript
JavaScript
Node JS
Nest.JS
AI/ML
LLM
EU AI Act
Frontend
React.js
Cybersecurity
GDPR
Apply
Founding Engineer 1 day ago
$81k – $116k per year • In office • Full-Time • Bachelor's Degree • Munich
JavaScript
Python
TypeScript
Databases
MySQL
PostgreSQL
Frontend
Next.js
React.js
Tailwind CSS
DevOps
AWS
Azure
CI/CD
Docker
GCP
Grafana
Kubernetes
OpenTelemetry
Prometheus
Apply
$128k – $259k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Denver
JavaScript
TypeScript
Frontend
Angular
Apply
$70k – $105k per year • In office • Full-Time • 3+ years exp
Python
SQL
TypeScript
AI/ML
LLM
RAG
Function Calling
LLM Guardrails
Cybersecurity
GDPR
Management
n8n
Apply
$151k – $269k per year (Estimated) • Remote/Hybrid • Full-Time • PhD
C++
Python
SystemVerilog
AI/ML
Diffusion Models
LLM
Quantization
Apply
$200k – $400k per year • Remote/Hybrid • Full-Time • New York
C++
Python
SystemVerilog
VHDL
DevOps
CI/CD
Docker
GitLab CI
GitLab
Chips/EDA
Cocotb
Synopsys HAPS
UVM
Xilinx Vivado
Apply
$200k – $400k per year • Remote/Hybrid • Full-Time • 4+ years exp • New York • London • Zurich • Copenhagen
Databases
PostgreSQL
Redis
AI/ML
AI Agents
LLM
DevOps
Kubernetes
Platform Engineering
Apply
$200k – $400k per year • Remote/Hybrid • Full-Time • New York • London • Copenhagen
AI/ML
Reinforcement Learning
Post-training
Apply
$200k – $400k per year • Remote/Hybrid • Full-Time • New York • London
SystemVerilog
Chips/EDA
CVA6
Apply
$155k per year • In office • Full-Time • New York
Apply
$268k – $481k per year (Estimated) • Equity • In office • Full-Time • 10+ years exp • New York
Apply
$220k – $350k per year • Remote/Hybrid • Full-Time • 15+ years exp • New York • Princeton
AI/ML
AI Agents
LLM Guardrails
Model Context Protocol
DevOps
Azure
Azure DevOps
CI/CD
GitHub
Platform Engineering
Design
Figma
Management
Jira
QA
Playwright
Apply
$320k per year • In office • 10+ years exp • Bachelor's Degree • New York
AI/ML
Anthropic
Claude
Multimodal AI
Apply
$160k – $283k per year • Equity • In office • 5+ years exp • New York
AI/ML
AI Agents
Apply
See all jobs
This is one of many
368,634 more open roles from verified company boards, updated every day.