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Software Engineer, AI Product Engineer

Role overview

Qualifications

  • 5-8 years of frontend software engineering experience focused on building sophisticated user experiences, with strong TypeScript and React proficiency and solid knowledge of modern frontend architecture and state management
  • Experience working with LLMs or building AI-powered applications, with understanding of model paradigms (agents, multimodality) and AI-enabled workflows
  • Prior leadership or startup experience as a zero-to-one engineering lead or founder is highly valued
  • Ability to learn continuously, work independently, and collaborate with product designers and cross-functional teams in a dynamic environment

Responsibilities

  • Build complete, integrated prototypes that bring AI capabilities to life in production workflows by stitching together LLMs, backend services, and polished frontend interfaces for testing and validation
  • Architect and develop interactive workflow UIs that make complex verification workflows approachable
  • Own APIs and orchestration patterns connecting frontends with ML inference servers and backend services
  • Partner with ML researchers, product teams, and users to translate complex requirements into proof-of-concept features integrating AI into existing workflows

About the company

Normal Computing logo

Normal Computing

Information Technology & Services

At Normal, our mission is to make AI universally scalable and useful. AI has been subject to technological limitations such as unpredictable factual errors in generative AI or lack of auditability as black-box models. We believe that AI can unlock transformative value in enterprise applications by reasoning reliably, autonomously, and understanding its own limits. Our products enable AI deployment in high-stakes enterprise applications. Unlike other surface-level approaches, our approach involves redesigning AI systems from the ground up. Normal's AI application development platform is powered by novel full-stack probabilistic machine learning infrastructure driven by thermodynamic physics. Normal was founded by former engineers from Google Brain, Alphabet X, and Palantir. We engage with leading institutions across various industries, including services, manufacturing, and the public sector.

Company details

Company typeScaleup
IndustryInformation Technology & Services
Company size11 - 50

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Job description

Normal Computing | Incredible Opportunities

The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London.

Your Role in Our Mission:

As a Software Engineer focused on product engineering in Normal EDA, you will be responsible for crafting the interfaces and workflows used by hardware engineers to build and verify the chips that power modern technology. You will be architecting and developing the user experiences that make AI-assisted semiconductor verification both powerful and approachable. You may spend one day interviewing users to better understand their needs and identifying product gaps to improve. Previous experience with the semiconductor or hardware industry is valued, but not required.

You'll regularly be faced with sophisticated technical problems at the intersection of AI and product engineering, requiring you to scope out solution designs and find incremental paths to shipping new features. As part of this, you will own APIs and schemas that power your frontend code, or work with backend engineers in developing them together.

We're hiring engineers who are passionate about solving real-world problems in complex, technical domains and building interfaces that empower users to work optimally. If you're motivated to develop reliable, performant systems and design intuitive experiences for AI-powered workflows, this role offers the opportunity to make a significant impact on how an entire industry works.

Responsibilities:

  • Building complete, integrated prototypes that bring AI capabilities to life in production workflows - stitching together LLMs, backend services, and polished frontend interfaces to create working V0s that users can actually test and the ML team can validate.

  • Architecting and developing interactive workflow UIs that make complex verification workflows feel approachable.

  • Collaborating closely with product designers to ensure pixel-perfect implementation and maintain an exceptionally high bar for interface quality and usability.

  • Owning APIs and orchestration patterns that connect frontends with ML inference servers and backend services.

  • Partnering with ML researchers, product teams and users to translate complex technical requirements into proof-of-concept features that integrate AI capabilities seamlessly into existing workflows.

  • Driving engineering roadmaps in collaboration with researchers, hardware experts, and product managers to discover and propose features that drive user stickiness.

What Makes You A Great Fit:

  • 5-8 years of frontend software engineering experience, with a strong focus on building sophisticated user experiences. Experience as a former zero-to-one engineering lead or startup founder is highly valued.

  • Strong frontend coding skills used to write clean, effective code, with existing proficiency in TypeScript and React and deep understanding of modern frontend architecture, state management, and how web technologies work.

  • Experience crafting complex user experiences with a strong intuition for good design and usability. You avoid the failure mode of shipping features quickly without ensuring the frontend work is truly excellent.

  • Experience working with LLMs or building AI-powered applications. You're excited about understanding the nuances of different model paradigms (agents, multimodality, simulation methods) and how to design product experiences that augment rather than detract from user workflows.

  • Proven ability to learn continuously, work independently, and make decisions with minimal supervision. You deliver on your commitments, value outcomes, and adapt quickly when priorities shift.

  • Skill and comfort working in a constantly evolving environment with dynamic objectives and iteration with users.

  • Experience brainstorming and iterating with product designers.

Bonus Points For:

  • Experience building IDE extensions, developer tools, or design-to-code systems.

  • Meaningful experience working and building within or for the semiconductor industry, or developing hardware products or software for hardware products.

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.

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Marcus Rivera

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