Job Description

For our team in Austin, we are looking for a hands-on Software Engineer – an experienced professional or a recent graduate – who wants to work at the intersection of AI, Software Engineering, Data Science, and Test and Measurement. This role focuses on applying 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. You will work closely with engineers and customers to transform measurement data into intelligent capabilities — ranging from AI-assisted analysis and anomaly detection to LLM-powered engineering workflows. 

IN THIS ROLE, YOUR RESPONSIBILITIES WILL: 

• 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 (e.g., 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 

WHO YOU ARE: You are driven to tackle the most critical technical challenges of the time. You thrive on the unknown and bring a proactive, “can-do” attitude to every team project, consistently taking ownership to drive exceptional results. You are excited to explore and experiment with the latest AI capabilities, embracing emerging technologies with curiosity, creativity, and a willingness to adopt them in practice. 

FOR THIS ROLE, YOU WILL NEED: 

• 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 
• 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 solve real-world engineering challenges 
• Excellent communication skills and ability to collaborate within multidisciplinary teams 
• 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. 

PREFERRED QUALIFICATIONS THAT SET YOU APART: 

• 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 

Our Culture & Commitment to You

We recognize that for our organization to support a diverse workforce, we must focus on employee wellbeing. We know that to do your best work, you must have flexible, competitive benefit plans to meet you and your family’s physical, mental, financial, and social needs. We provide a market-leading 401(k) and profit-sharing plan, a variety of medical insurance plans, with dental and vision coverage, family formation benefits in addition to paid parental leave (maternal and paternal), Employee Assistance Program, tuition reimbursement, employee resource groups, recognition, and much more. Our culture prioritizes work-life balance and offers flexible time off plans, inclusive of vacation, holiday, and sick leave. Our goal is to offer a strong benefits foundation while allowing employees the flexibility to choose options that best suit their needs. 

At Emerson, we are committed to fostering a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that inspires innovation and brings the best solutions to our customers. 

This philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place.  Learn more about our  Culture & Values and about Diversity, Equity & Inclusion at Emerson. Our training programs and initiatives focus on end-to-end development, from onboarding through senior leadership. We provide a wide range of development opportunities, including face-to-face and virtual training, mentorship and coaching, project management, and on-the-job training. 

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