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AI Engineer
Normal Computing · New York City, New York, USA
Pay
$200k–400k
Setting
Hybrid
Staff AI Engineer
Listed by Normal Computing for a position based in the United States. Employers on this board attest they are hiring domestically.
Design Verification Engineer
Normal Computing · New York City, New York, USA
Pay
$110k–205k
Setting
Hybrid
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 a Design Verification Engineer at Normal, you will verify our own physics-inspired ASICs on the road to tapeout, and set the quality bar for what our AI learns: reviewing generated verification collateral and shaping the standards our models train against. From time to time, you may also be tapped to support a customer deployment alongside our forward-deployed team, where your verification credibility helps our AI platform land inside real DV flows. The through-line is your DV expertise, applied to silicon that computes differently than anything you've verified before, and to the AI that is changing how verification gets done. This is a seat for a verification engineer who wants their craft to compound rather than repeat.
WHAT YOU WILL OWN
- Thermodynamic ASIC Verification: Own design verification for Normal's internal silicon: testbench environments, assertions, and coverage from design documents through functional coverage and closure, supporting the program to tapeout.
- AI Product Refinement: Review AI-generated verification collateral to shape product strategy and tool usability in collaboration with the ML and product teams.
- Data Quality Bar: Set the quality standard for verification training data: define rubrics, curate golden examples, and partner with our Data team, who own the pipelines, so our models learn from verification artifacts a real DV engineer would sign off on.
- Deployment Support: When needed, support customer engagements alongside our forward-deployed team: validating AI-generated collateral against real customer specifications and lending DV credibility to deployments.
- Tooling: Set up and evaluate EDA tools, ensuring usability and effective deployment on shared computing resources internally and in customer environments.
WHAT MAKES YOU A GREAT FIT
- 5+ years of experience in digital verification at a major semiconductor or EDA tool company
- Advanced proficiency in SystemVerilog, UVM methodology, and EDA verification tools (vManager, Xcelium, Jasper), with strong Python or Perl scripting
- Proven expertise in end-to-end design verification, including test plan creation, stimulus generation, and feature extraction
- Willingness to occasionally support customer-facing deployment work, including some travel
- Excellent written and spoken communication skills: you can hold the room with a customer's verification lead as credibly as you hold a debug session
BONUS POINTS
- Experience in a customer-facing, field-application, or forward-deployed engineering role at a semiconductor or EDA company
- Hands-on use of LLMs or agentic tools in verification workflows
- Exposure to analog, mixed-signal, or unconventional compute verification
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 Privacy Policy.
Listed by Normal Computing for a position based in the United States. Employers on this board attest they are hiring domestically.
Software Engineer, Product
Normal Computing · New York City, New York, USA
Pay
$200k–400k
Setting
Hybrid
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
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 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 Privacy Policy.
Listed by Normal Computing for a position based in the United States. Employers on this board attest they are hiring domestically.
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