Software Engineer, Applied AI
Emerson
Austin, TX0–7 yrs1h agovia LinkedIn
Posted 13 Nov 2026, 19:01 ET
This job at a glance
- Who can apply
- New grads and up to 7 years
- Must know
- Machine learningPythonPyTorchscikit-learnPandasNumPy
- Nice to have
- Data analysis
- Work
- On-site in Austin
- Pay
- Not stated by the employer.
- Skill demand
- Python75%Machine learning10%of 20 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About the Role
This role focuses on applying modern AI and data-driven methods to real-world measurement and test workflows. You will work closely with engineers and customers to transform measurement data into intelligent capabilities.
Key Responsibilities
- Work closely with measurement engineers, data scientists, and customers to solve test and measurement domain-specific problems.
- Translate AI, ML, and agentic workflows into concrete measurement use cases.
- Validate technical feasibility and customer impact through rapid full-stack prototyping.
- Influence platform and architecture decisions through hands-on contribution.
- Set best practices for applied AI quality, reliability, and maintainability.
Requirements & Tech Stack
- Python programming experience.
- Proficiency with common data science and machine learning libraries such as PyTorch, Pandas, NumPy, or Scikit-Learn.
- Strong foundation in software engineering, including modern languages, APIs, software design, testing, and version control.
- Curiosity to learn new technologies and apply them to solve real-world engineering challenges.
- Excellent communication skills and ability to collaborate within multidisciplinary teams.
Qualifications
- Master’s degree or PhD degree in Computer Science, Computer Engineering, Artificial Intelligence, Software / Communications Engineering, Information Technology, or a related field.
- 0 to 7+ years of hands-on experience applying AI technologies such as LLMs, context engineering, MCP, retrieval-augmented generation (RAG), AI evaluation, training/inference, and agentic workflows, gained through academic projects, internships, work, research, or personal projects.
- Authorized to work in the United States without sponsorship now and in the future.
Preferred Qualifications
- Hands-on experience with measurement systems, test automation, or engineering data analysis.
- Experience in test & measurement or engineering domains beyond software.
- Experience deploying, monitoring, or evaluating AI solutions.