Software Engineer - Applied AI

Emerson • Dresden, NY

2h • Hybrid

About The Position

Emerson is seeking a hands-on Software Engineer for its team in Austin. The role is suited to an experienced professional or recent graduate interested in the intersection of AI, software engineering, data science, and test and measurement. It applies modern AI and data-driven methods to real-world measurement and test workflows used by scientists and engineers for experiments, product design, and validation of mission-critical systems. The engineer will work with engineers and customers to turn measurement data into intelligent capabilities, including AI-assisted analysis, anomaly detection, and LLM-powered engineering workflows.

The position involves collaborating with measurement engineers, data scientists, and customers to solve domain-specific problems; translating AI, machine learning, and agentic workflows into measurement use cases; and validating technical feasibility and customer impact through rapid full-stack prototypes. The engineer will contribute hands-on to platform and architecture decisions and establish best practices for the quality, reliability, and maintainability of applied AI solutions.

Requirements

• Master’s degree or PhD 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 software engineering foundation, 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.
• Authorized to work in the United States without sponsorship now or in the future; people with temporary visas or who require current or future sponsorship 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 closely 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, including 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

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

What This Job Offers

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