Software Engineer - Applied AI

Emerson • Dresden, TX

18h • Hybrid

About The Position

Emerson is seeking a hands-on Software Engineer for its Austin team to work at the intersection of AI, software engineering, data science, and test and measurement. The role applies modern AI and data-driven methods to real-world measurement and test workflows used by scientists and engineers to conduct experiments, design products, and validate mission-critical systems. The engineer will collaborate with other engineers and customers to turn measurement data into intelligent capabilities, including AI-assisted analysis, anomaly detection, and LLM-powered engineering workflows.

Requirements

• Master’s or PhD degree in Computer Science, Computer Engineering, Artificial Intelligence, Software or 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. Experience may come from academic projects, internships, work, research, or personal projects.
• Experience developing software in Python and 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 real-world engineering challenges.
• Excellent communication skills and ability to collaborate within multidisciplinary teams.
• Must be authorized to work in the United States without sponsorship now or in the future; applicants who need sponsorship or hold specified temporary visas are not eligible.

Nice To Haves

• Hands-on experience with measurement systems, test automation, or engineering data analysis.
• Experience in test and measurement or engineering domains beyond software.
• Experience deploying, monitoring, or evaluating AI solutions.

Responsibilities

• Work with measurement engineers, data scientists, and customers to solve test and measurement domain-specific problems.
• Translate AI, machine learning, and agentic workflows into measurement use cases, such as AI-assisted interpretation of complex measurement data, test optimization, and automation.
• 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.

Benefits

• 401(k) and profit-sharing plan.
• Medical insurance plans, with dental and vision coverage.
• Family formation benefits and paid parental leave.
• Employee Assistance Program.
• Tuition reimbursement.
• Employee resource groups and recognition programs.
• Flexible time off, including vacation, holiday, and sick leave.
• Training and development opportunities, including mentorship, coaching, project management, and on-the-job training.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level