Normal ComputingNC

Digital Verification Engineer

Normal Computing is a deep tech AI startup developing full-stack applications with enterprise reliability, focusing on probabilistic AI and thermodynamic computing to solve mission-critical problems.

Normal Computing

Employee count: 11-50

Salary: 140k-180k USD

United States only

Your Role in Our Mission

As a Digital Verification Engineer at Normal Computing, you will bring your expertise in the end-to-end design verification flow for functional coverage by supporting our Verification AI team and building testbench environments from design documents to support product development.

Overview & Responsibilities

  • Reviewing chip documentation to develop test plans, test suites, coverage code, and testbenches.

  • Setting up EDA tools and vendor-specific chip design tools on shared computing resources.

  • Speaking with customers to conduct user research and participate in Normal’s technical sales effort.

  • Partnering with our internal hardware, product, and machine learning teams to provide expertise on a variety of design verification projects.

  • Working with contractors to acquire and produce high-quality design verification collateral.

What makes you a great fit:

  • 5+ years of experience in Digital Verification at a major semiconductor or EDA tool company

  • Experience working on DRAM, Memory Controllers, ASICS, or MCUs

  • Proven expertise in all areas of the end-to-end design verification workflow for function coverage, including design document review, feature extraction, test plan creation, stimulus generation, testbench creation, and test suite creation

  • Advanced proficiency in SystemVerilog and UVM Methodology

  • Proficiency with EDA verification tools like vManager, Xcelium, Jasper, etc.

  • Experience in creating and testing with Verification IPs

  • Excellent written and spoken communication skills

Bonus points for:

  • Bachelor’s or Master’s degree in Computing Engineering, Electrical Engineering, or a related field

  • Experience in SystemC

  • Experience in formal 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 [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.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 140k-180k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Normal Computing

Learn more about Normal Computing and their company culture.

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We are on a mission to make AI universally scalable and useful. At Normal Computing, we're rewriting the foundations of AI to push the frontier of reasoning and reliability in the real world. We were founded in 2022 by a team of engineers and scientists from Google Brain, Google X, and Palantir who were pioneers in developing industry-leading Physics + ML tools for the next generation of artificial intelligence. Our core belief is that the true potential of AI can only be unlocked when it can reliably and safely interact with and reason about the physical world. This is why we are developing full-stack solutions, from innovative hardware and physics-based approaches to advanced probabilistic software infrastructure and algorithms. This allows us to create AI that not only performs complex tasks but also understands its own limitations, a critical factor for adoption in high-stakes enterprise environments.

Our work tackles significant challenges in sectors like semiconductor manufacturing, supply chain management, banking, and government agencies, where risk has traditionally been a major barrier to AI adoption. We are building AI systems that can design and verify hardware logic from specifications alone, a crucial step in overcoming the silicon complexity crisis. Furthermore, we are pioneering 'thermodynamic computing,' a novel approach that widens the conventional design space and enables custom silicon to operate at the very energy limits of artificial reasoning. We've already developed the world's first thermodynamic computer, a breakthrough that promises to make AI more efficient and capable. We are a diverse and lean team of some of the world's best engineers, scientists, and operators, with a presence in New York City, San Francisco, London, and Copenhagen. We foster a culture of individual ownership and deep partnership, collaborating closely with the largest semiconductor design and manufacturing institutions to deliver our software and hardware. We are backed by significant seed capital from prominent investors who share our vision of securing silicon supremacy and providing a 1000x increase in intelligence per unit.

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Normal Computing

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