Normal Computing

Hardware Engineer, Design Verification

Normal Computing  •  $200k - $400k/yr  •  New York City, NY / Mountain View, CA (Onsite)  •  3 hours ago
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Job Description

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

As a Design Verification Engineer at Normal, you will verify our own physics-inspired ASICs on the road to tapeout, and help set the bar for the AI-assisted verification flows we are building for ourselves. 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-Assisted Verification: Review AI-generated verification collateral and help define what good looks like, so the tools the team builds raise the bar rather than lower it.
  • Tooling: Set up and evaluate EDA tools, ensuring usability and effective deployment on shared computing resources internally.

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
  • Excellent written and spoken communication skills: you can hold the room in a design review as credibly as you hold a debug session

Bonus Points

  • 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 Applicant Privacy Notice.

Normal Computing

About Normal Computing

At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the physical world. We are tackling problems across semiconductors and industrials with a mix of interdisciplinary approaches across the full stack: from probabilistic software infrastructure and algorithms to hardware and physics, enabling AI that can reason and understand its own limits.

We understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms.

Normal was founded in 2022 by engineers and scientists that pioneered industry-leading Physics + ML tools for next-gen AI at Google Brain and Google X.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
New York, NY
Year Founded
2022
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