Software Engineer, Backend
Company: Normal Computing
Location: New York City Metropolitan Area
Type: Full-time
Level: mid
Posted: 2026-03-06
About this role
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 building the systems and workflows used by hardware engineers to build and verify the chips that power modern AI. 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 core product functionality, collaborating closely with other engineers in developing them.
We're hiring engineers who are passionate about solving real-world problems in complex, technical domains and building systems 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-grade services, and polished frontend interfaces to create working V0s that users can actually test and the ML team can validate.
- Architecting and developing backend systems that support complex verification workflows.
- Owning API contracts between frontend and backend systems.
- Driving engineering roadmaps in collaboration with researchers, hardware experts, and product managers to discover and propose features that drive user stickiness.
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