Software Engineer - AI Enablement & Engineering Productivity
- Hiring from
- United States
- Work type
- Hybrid
- Posted
- Oct 1, 2026
The Test & Measurement Group in Austin is seeking a Software Engineer to join our AI Enablement & Engineering Productivity team.
Our team develops, supports, and maintains internal tools that help engineering teams work more efficiently. We leverage AI technologies, automation, and modern software solutions to improve daily workflows across the organization. Examples include AI-powered assistants, developer productivity tools, GitHub Copilot enablement, workflow automation, and internally developed engineering solutions.
In this role, you will work closely with software engineers, engineering managers, and technical teams to identify opportunities for improvement and develop solutions that help increase productivity and reduce friction in everyday engineering work.
This is an excellent opportunity for someone early in their career who enjoys learning new technologies, solving challenging problems, and exploring how AI can be applied to real-world engineering workflows.
We are hiring for this position in Austin, Texas. This is a primarily onsite role with flexibility to work remotely one day per week.
- Design, develop, and maintain internal tools and services that improve engineering productivity.
- Support and enhance AI-enabled solutions used by engineering teams.
- Work with stakeholders to understand challenges and identify opportunities for automation and workflow improvements.
- Design, develop, test, and maintain software solutions, automations, and internal services that improve engineering productivity.
- Evaluate and adopt new AI technologies and productivity solutions.
- Troubleshoot issues and improve the reliability of internally developed tools and services.
- Collaborate with engineering teams worldwide to help improve development workflows and tooling.
You are naturally curious and enjoy learning how systems work. When faced with a problem, you ask questions, gather information, and work toward practical solutions.
You enjoy finding better ways to accomplish tasks and are motivated by helping other engineers work more efficiently. You take ownership of your work, adapt quickly to new technologies, and are excited by opportunities to apply software, automation, and AI to real-world engineering challenges.
- B.S. degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related field.
- Strong programming fundamentals demonstrated through coursework, internships, personal projects, or professional experience, including experience designing, developing, and debugging software solutions.
- Proficiency in at least one modern programming language.
- Strong analytical, problem-solving, and troubleshooting skills.
- Excellent written and verbal communication skills.
- Demonstrated ability to learn new technologies quickly and apply them to solve practical engineering problems.
- Interest in applying AI technologies, automation, and software solutions to improve engineering productivity and developer workflows.
- 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.
- Hands-on experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar technologies.
- Experience developing applications, services, automations, or integrations.
- Exposure to software development concepts such as APIs, web applications, databases, cloud platforms, test systems, machine learning, or hardware-integrated software solutions.
- Experience identifying opportunities to automate repetitive processes or improve workflows.
- Passion for continuous improvement and workflow optimization.
Success Factors
- Strong curiosity and desire to learn new technologies.
- Demonstrates initiative in identifying and solving problems.
- Shows ownership and accountability for assigned work.
- Communicates clearly and asks thoughtful questions to understand problems before proposing solutions.
- Interested in improving engineering productivity through software, automation, and AI.