Product Engineer, Engineering Applications

Nominal•Los Angeles, CA

6h•Onsite

About The Position

Nominal is building a Hardware Intelligence Platform for engineers who develop and operate complex physical systems. The Product Engineer, Engineering Applications works at the intersection of product, design, and engineering to create new applications for hardware engineering teams. The role involves shaping what the product does, working directly with users, making product decisions, and owning experiences from early ideas through customer use. The engineer will rapidly prototype loosely defined ideas, put prototypes in front of users, and develop the most promising ideas into polished products. The work spans the hardware development lifecycle, including planning, device monitoring and control, HMI diagrams, and automated test sequences. The role emphasizes turning complex technical and operational processes into clear, intuitive workflows while retaining the precision and reliability users need. Using React, TypeScript, and modern web technologies, the engineer will build scalable experiences across complex data models, asynchronous workflows, and live updates. They will collaborate with backend engineers on APIs and architecture and contribute across the stack where needed. Success depends on strong frontend engineering, product judgment, user empathy, and careful iteration based on direct user feedback.

Requirements

At least 2 years of experience building and shipping software products, with strong frontend skills and ownership of features from initial idea to real users.
Strong experience with TypeScript, React, and modern frontend architecture.
Understanding of how frontend systems interact with APIs and backend services, and comfort contributing beyond the interface when needed.
Ability to prototype, turn ambiguity into something users can try, learn from user feedback, and iteratively improve the result.
Product judgment and attention to interaction design and user-facing details.
Systems mindset, including interest in data models, relationships, state, and asynchronous workflows.
User empathy and clear communication, including the ability to understand users directly, clarify complex workflows, and explain technical and product tradeoffs across disciplines.
Practical use of modern AI coding tools, curiosity about improving ways of working, and accountability for the quality of shipped work.

Nice To Haves

Experience with planning and scheduling tools, canvas or diagram editors, live data visualization, hardware-control interfaces, or workflow and sequence builders.
Experience building products with connected objects, versions, evidence, and decisions that carry across workflows, with clear visibility into changes and applicability.
Experience or strong interest in building AI-powered interfaces for reviewing proposed actions, inspecting supporting evidence, editing results, and maintaining control over asynchronous work.
Experience building or extending shared product interaction patterns, components, permissions, collaboration, or navigation.
Experience with large datasets, virtualized interfaces, rendering performance, caching, and asynchronous data flows.
Experience designing APIs and making architectural tradeoffs across the stack.
Evidence of strong product craft, such as having shipped something people loved enough to recommend.

Responsibilities

Prototype loosely defined ideas, test them with users early, and develop the strongest concepts from zero to one.
Own product decisions in the assigned area, partnering with design, product, and engineering to determine scope, tradeoffs, and readiness.
Build intuitive workflows that help engineers reason about complex hardware development processes.
Create tools for authoring HMI diagrams, monitoring and commanding devices, and creating and running automated test sequences.
Help users understand hardware state, take action confidently, and assess whether hardware meets requirements.
Build scalable product experiences with React, TypeScript, and modern web technologies across complex data models, asynchronous workflows, and live updates.
Collaborate with backend engineers on APIs and architecture, and contribute across the stack as needed.
Seek feedback directly from engineers and technicians, observe how they work, and iterate on the product while maintaining precision and reliability.