Senior Principal Applied AI-Software Engineer

Emerson•Austin, TX

10h•Hybrid

About The Position

We are seeking a hands-on Senior Principal Applied AI-Software Engineer who excels at building compelling test and measurement solutions in AI software—turning ambiguous ideas into reality. You will directly impact Nigel, our AI-native platform for Test & Measurement, as well as the core services that give Nigel its capabilities. Nigel is used by scientists and engineers to conduct experiments, design products, and validate mission-critical systems. This role is ideal for a seasoned technologist who wants to shape how AI fundamentally reshapes scientific and engineering workflows.

Requirements

Bachelor's or master’s degree in computer science, Engineering, or related field
10+ years of professional software development experience commensurate with the level of this role
5+ years of technical leadership making high-stakes architectural decisions commensurate with the level of this role
Deep hands-on experience with AI coding agents (e.g. GitHub Copilot, Claude Code, Codex, Antigravity, Cursor)
Exceptional communication skills with the ability to influence technical strategy across teams and levels
Authorized to work in the United States without sponsorship now and in the future.
Individuals with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Nice To Haves

Experience with a variety of programming languages (e.g. C/C++, Go, .NET, Python)
Frontend experience (e.g. TypeScript, Next.js, React)
Experience integrating AI into systems and workflows (e.g. prompt/context engineering, RAG, fine tuning, agentic harnesses, tool use, MCP servers, etc.)
Experience in test & measurement, maker communities, or engineering domains beyond software

Responsibilities

Identify and prototype emerging technologies and evaluate where they deliver clear value to our customers
Tackle the most critical technical challenges at any given time
Flexibly and directly contribute across the stack as needed, using the latest AI tools
Rapidly prototype AI-enabled features, iterating from concept → demo → product
Champion and evangelize AI-native software development, CI/CD, DevOps, observability, and IaC
Partner across teams to turn working concepts into production-ready systems
Align teams and leadership around new technical directions