Software Engineering Intern (Applied AI)

Emerson•Austin, TX

About The Position

We are seeking a hands-on software intern who excels at rapid prototyping of AI-enabled software concepts—turning ambiguous ideas into working demos fast. You will directly contribute to Nigel, our AI-native platform for Test & Measurement. Nigel is used by scientists and engineers to conduct experiments, design products, and validate mission-critical systems. You will code across the stack using the latest AI coding tools. Depending on your skill set, you may do more frontend web UI work and/or more backend/core logic work, while collaborating closely with the team to iterate quickly and learn fast.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering (software-focused), or a related field.
Experience with agentic coding environments, such as GitHub Copilot, Cursor, Windsurf, Claude Code, or similar (Codex CLI, Gemini CLI, OpenHands also applicable).
Ability to go beyond “vibe coding” — comfortable producing readable, maintainable code with a team of software engineers, even when moving fast.
Strong programming fundamentals in at least one modern language (e.g., Go, C#, Python, or equivalent).
Familiarity with Git/GitHub workflows (branches, pull requests) and basic software engineering practices.
Legal Authorization to work in the United States – sponsorship will not be provided for this role.

Nice To Haves

Experience with either (a) modern web UI development, and/or (b) backend/microservice/cloud development, with willingness to contribute where needed.
Experience integrating AI into apps and workflows (e.g. prompt/context engineering, RAG, fine tuning, agentic harnesses, tool use, building MCP servers, etc.).
Bonus: Any experience with measurement equipment (e.g. oscilloscopes), maker communities, or engineering domains besides software (e.g., electrical engineering).

Responsibilities

Tackle the most critical technical challenges at any given time — you will learn a lot!
Rapidly prototype AI-enabled features and workflows, iterating from concept → demo → demo → product.
Use professional AI coding tools to accelerate implementation (code generation, refactoring, debugging, instructions), while validating outputs with disciplined debugging.
Build backend services (e.g., Go, C#, REST endpoints, Kubernetes, Azure, orchestration logic) that deploy on Azure and on-prem.
Build web UIs (TypeScript/Next.js/React) in collaboration with Interaction and Visual Designers working in Figma.
Create demo experiences with clear storylines appropriate for senior leadership feedback.
Collaborate with engineers and stakeholders to clarify requirements, identify constraints, propose tradeoffs, and deliver incremental improvements weekly
Blog about your learnings (what worked, what didn’t) and create quick-start guides to help others reproduce and extend your work.