Software Engineering Intern (Applied AI)

Software Engineering Intern – Applied AI (Frontend / Backend / Full-Stack)

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.

IN THIS ROLE, YOUR RESPONSIBILITIES WILL BE:

• 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 → 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.

WHO YOU ARE:

A high-ownership self-starter who takes ambiguous problems and drives them to completion. Intellectually curious and excited to learn new tools/frameworks quickly on an experienced, fast-paced team. A clear communicator who can articulate intent, assumptions, tradeoffs, and next steps in writing and in-person. A structured problem solver who uses a tight loop debugging mindset (hypothesis → test → iterate) and any/all tools at their disposal to isolate root causes and validate fixes. Comfortable collaborating with AI: you can steer AI tools effectively, recognize when outputs are wrong, and course correct quickly.

FOR THIS ROLE, YOU WILL NEED:

• Currently pursuing a Bachelor’s 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)
• 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.

PREFERRED QUALIFICATIONS THAT SET YOU APART:

• Pursuing a Master’s degree in Computer Science, Computer Engineering, Electrical Engineering (software-focused), or a related field
• 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.).
• Experience with measurement equipment (e.g. oscilloscopes), maker communities, or engineering domains besides software (e.g., electrical engineering).