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Emerson

Embedded Software Engineer – AI, Web

Emerson

. Design, develop, test, and maintain modern web-based user interfaces for embedded products .

Posted 11/4/2026full-timeMarshalltown • Iowa • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in modern web development, including proficiency in HTML, CSS, JavaScript, and front-end frameworks like React or Angular. Capable of integrating AI solutions and developing software for embedded products while collaborating effectively across engineering disciplines.

Highest-signal resume keywords
Web DevelopmentAI AgentsREST APIsEmbedded SystemsAutomated Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
HTMLCSSJavaScriptTypeScriptReactAngularVueREST APIsWebSocketsObject-Oriented Design
Soft Skills
Problem-SolvingCommunicationCollaboration
Tools & Technologies
Generative AILarge Language ModelsSource ControlContinuous IntegrationAI Workflow Automation
Certifications & Qualifications
Bachelor's Degree in Software EngineeringComputer EngineeringComputer ScienceArtificial IntelligenceMachine LearningData Science
Industry Keywords
Embedded ProductsNetwork CommunicationSoftware Development LifecycleEngineering ProcessesIndustrial Applications

Tech Stack

Tools & technologies
AngularJavaScriptReactTypeScriptVue.js

About the role

Key responsibilities & impact
  • Design, develop, test, and maintain modern web-based user interfaces for embedded products
  • Collaborate with firmware, hardware, test, UX, and product engineering teams on integrated product solutions
  • Develop software communicating with embedded devices through REST APIs, WebSockets, and network-based interfaces
  • Develop and integrate AI agents and AI-enabled workflows for software development, testing, diagnostic analysis, documentation, technical information retrieval, and other engineering use cases
  • Troubleshoot issues across user interfaces, backend services, network communication, and embedded-device layers
  • Identify high-value opportunities for AI agents and workflow automation to reduce manual work and improve engineering processes
  • Participate in software design, code reviews, testing, documentation, and other software development lifecycle activities
  • Build software across web and embedded technologies for industrial applications

Requirements

What you’ll need
  • Bachelor's degree in Software Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline, or equivalent experience
  • 0+ years of professional software development experience; recent graduates and early-career candidates encouraged
  • Hands-on experience using generative AI, large language models, or AI agent technologies through academic, internship, professional, or personal projects
  • Knowledge of modern web development, including HTML, CSS, JavaScript or TypeScript
  • Familiarity with front-end frameworks such as React, Angular, Vue, or similar
  • Understanding of object-oriented design, data structures, debugging, source control, and automated testing
  • Ability to learn unfamiliar technologies and apply them to engineering problems
  • Strong problem-solving and communication skills with ability to collaborate across engineering disciplines
  • Legal authorization to work in the United States without sponsorship now or in the future
  • Temporary visa holders including E, F-1 (including OPT or CPT), H-1, H-2, L-1, B, J, or TN, and those needing sponsorship, are not eligible for hire
  • Preferred: experience developing web applications communicating with embedded or connected devices
  • Preferred: backend development, REST APIs, WebSockets, networking, or similar communication technologies
  • Preferred: automated testing and continuous integration
  • Preferred: AI agents, agentic workflows, prompt design, or AI workflow automation
  • Preferred: integrating AI solutions with APIs, software-development tools, test environments, databases, or other external systems

Benefits

Comp & perks
  • Comprehensive health coverage
  • Wellness resources supporting mental resilience and work–life balance
  • Programs promoting financial confidence
  • Competitive benefit plans with choice, flexibility, and peace of mind
  • Mentorship, training, and leadership opportunities
  • Ongoing career development
  • Meaningful recognition programs
  • Employee resource groups fostering belonging and inclusion
  • Exposure to global projects
  • Collaborative, modern engineering environment
  • Lower cost of living, short commutes, and access to outdoor recreation in Marshalltown