Emerson logo
📈 Trending among freshers✓ Verified Listing

Software Developer

EmersonCompetition: Moderate • Entry Level
|Noida, Uttar Pradesh, India / Hybrid|By CampusToCareer Editorial Team|Posted 10 days ago|Last verified 10 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Jul 9, 2026
💼 Experience Required
1-5 Years
🕒 Employment Type
Full-time
🎓 Target Batch
Fresher/Exp
🚀 Role Category
Software Engineer
📌 How to Apply
Click on the Apply button
💰 Salary
Not publicly disclosed
Compensation follows company standards.
Skills Recommended
C#PythonTensorFlow/PyTorchMachine LearningDeep LearningGenerative AILLMsAgentic AIIndustrial AIDistributed SystemsCloud/On-Prem ArchitecturesAPIsEnterprise Software Development PracticesSoftware Development Processes
Career Guide • 15 min read

Complete preparation guide for Software Developer at Emerson

As a Software Developer at Emerson, you will be responsible for translating the company's digital transformation goals into executable, scalable agent development activities, working on AI-enabled applications and agent-based solutions, and implementing AI agents within the Ovation Intelligence ecosystem.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 3 Jul 2026

About Emerson

Emerson is a global leader in automation technology and software, helping customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.

Required Skills Explained

C#

Why required: C# is required for developing software applications, and Emerson uses it for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your proficiency in C# and your ability to apply it in real-world applications.

  • Microsoft Virtual Academy
  • C# Tutorials on Udemy
  • C# Documentation on MSDN

Python

Why required: Python is required for developing AI and ML models, and Emerson uses it for building AI agents and deploying them in industrial environments.

How recruiters evaluate: The recruiter will evaluate your proficiency in Python and your ability to apply it in AI and ML applications.

  • Python.org
  • Python Tutorials on Coursera
  • Python Documentation on GitHub

TensorFlow/PyTorch

Why required: TensorFlow and PyTorch are required for building and deploying AI and ML models, and Emerson uses them for developing AI agents and deploying them in industrial environments.

How recruiters evaluate: The recruiter will evaluate your proficiency in TensorFlow and PyTorch and your ability to apply them in AI and ML applications.

  • TensorFlow.org
  • PyTorch.org
  • Deep Learning Tutorials on Udemy

Machine Learning

Why required: Machine learning is required for developing AI agents and deploying them in industrial environments, and Emerson uses it for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of machine learning concepts and your ability to apply them in real-world applications.

  • Machine Learning Course on Coursera
  • Machine Learning Tutorials on edX
  • Machine Learning Documentation on GitHub

Deep Learning

Why required: Deep learning is required for developing AI agents and deploying them in industrial environments, and Emerson uses it for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of deep learning concepts and your ability to apply them in real-world applications.

  • Deep Learning Course on Coursera
  • Deep Learning Tutorials on Udemy
  • Deep Learning Documentation on GitHub

Generative AI

Why required: Generative AI is required for developing AI agents and deploying them in industrial environments, and Emerson uses it for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of generative AI concepts and your ability to apply them in real-world applications.

  • Generative AI Course on Coursera
  • Generative AI Tutorials on Udemy
  • Generative AI Documentation on GitHub

LLMs

Why required: LLMs (Large Language Models) are required for developing AI agents and deploying them in industrial environments, and Emerson uses them for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of LLMs and your ability to apply them in real-world applications.

  • LLMs Course on Coursera
  • LLMs Tutorials on Udemy
  • LLMs Documentation on GitHub

Agentic AI

Why required: Agentic AI is required for developing AI agents and deploying them in industrial environments, and Emerson uses it for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of Agentic AI concepts and your ability to apply them in real-world applications.

  • Agentic AI Course on Coursera
  • Agentic AI Tutorials on Udemy
  • Agentic AI Documentation on GitHub

Industrial AI

Why required: Industrial AI is required for developing AI agents and deploying them in industrial environments, and Emerson uses it for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of Industrial AI concepts and your ability to apply them in real-world applications.

  • Industrial AI Course on Coursera
  • Industrial AI Tutorials on Udemy
  • Industrial AI Documentation on GitHub

Distributed Systems

Why required: Distributed systems are required for deploying AI agents in industrial environments, and Emerson uses them for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of distributed systems concepts and your ability to apply them in real-world applications.

  • Distributed Systems Course on Coursera
  • Distributed Systems Tutorials on Udemy
  • Distributed Systems Documentation on GitHub

Cloud/On-Prem Architectures

Why required: Cloud and on-prem architectures are required for deploying AI agents in industrial environments, and Emerson uses them for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of cloud and on-prem architectures concepts and your ability to apply them in real-world applications.

  • Cloud Architecture Course on Coursera
  • On-Prem Architecture Tutorials on Udemy
  • Cloud and On-Prem Documentation on GitHub

APIs

Why required: APIs are required for integrating AI agents with other systems, and Emerson uses them for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of APIs concepts and your ability to apply them in real-world applications.

  • APIs Course on Coursera
  • APIs Tutorials on Udemy
  • APIs Documentation on GitHub

Enterprise Software Development Practices

Why required: Enterprise software development practices are required for developing AI agents and deploying them in industrial environments, and Emerson uses them for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of enterprise software development practices concepts and your ability to apply them in real-world applications.

  • Enterprise Software Development Practices Course on Coursera
  • Enterprise Software Development Practices Tutorials on Udemy
  • Enterprise Software Development Practices Documentation on GitHub

Software Development Processes

Why required: Software development processes are required for developing AI agents and deploying them in industrial environments, and Emerson uses them for building AI-enabled applications and agent-based solutions.

How recruiters evaluate: The recruiter will evaluate your understanding of software development processes concepts and your ability to apply them in real-world applications.

  • Software Development Processes Course on Coursera
  • Software Development Processes Tutorials on Udemy
  • Software Development Processes Documentation on GitHub

Who Should Apply

freshers

Freshers with a degree in Computer Science, Electrical Engineering, AI/ML, or related fields and a strong understanding of AI and ML concepts can apply for this role.

experienced

Experienced professionals with 1-5 years of experience in AI/ML model development, deployment, and optimization can apply for this role.

graduates

Graduates with a degree in Computer Science, Electrical Engineering, AI/ML, or related fields and a strong understanding of AI and ML concepts can apply for this role.

btech

B.Tech graduates with a degree in Computer Science, Electrical Engineering, AI/ML, or related fields and a strong understanding of AI and ML concepts can apply for this role.

mca

MCA graduates with a degree in Computer Science, Electrical Engineering, AI/ML, or related fields and a strong understanding of AI and ML concepts can apply for this role.

diploma

Diploma holders with a degree in Computer Science, Electrical Engineering, AI/ML, or related fields and a strong understanding of AI and ML concepts can apply for this role.

Typical Hiring Process

  1. Round 1: The first round will be a technical interview to evaluate your understanding of AI and ML concepts and your ability to apply them in real-world applications.
  2. Round 2: The second round will be a coding challenge to evaluate your coding skills and your ability to develop AI agents and deploy them in industrial environments.
  3. Round 3: The third round will be a personal interview to evaluate your communication skills and your ability to work in a team.

Resume Tips for This Role

  • Highlight your experience in AI/ML model development, deployment, and optimization.
  • Mention your proficiency in C#, Python, TensorFlow/PyTorch, and other relevant technologies.
  • Include your understanding of distributed systems, cloud/on-prem architectures, APIs, and enterprise software development practices.

Interview Preparation Tips

  • Be prepared to answer technical questions related to AI and ML concepts.
  • Showcase your coding skills and your ability to develop AI agents and deploy them in industrial environments.
  • Highlight your communication skills and your ability to work in a team.

Possible Interview Questions (10)

  1. What is your experience in AI/ML model development, deployment, and optimization?
  2. How do you stay up-to-date with the latest developments in AI and ML?
  3. Can you explain the concept of distributed systems and how they are used in industrial environments?
  4. How do you ensure the quality of AI agents and their deployment in industrial environments?
  5. Can you describe your experience with cloud/on-prem architectures and APIs?
  6. How do you handle the challenges of developing AI agents and deploying them in industrial environments?
  7. Can you explain the concept of enterprise software development practices and how they are used in industrial environments?
  8. How do you ensure the security of AI agents and their deployment in industrial environments?
  9. Can you describe your experience with software development processes and how they are used in industrial environments?
  10. How do you handle the challenges of working in a team and communicating with stakeholders?

Salary Insights (India)

Industry range

The salary range for this role in the industry is ₹8-15 lakhs per annum.

Freshers

The salary range for freshers in this role is ₹6-10 lakhs per annum.

Experienced

The salary range for experienced professionals in this role is ₹10-20 lakhs per annum.

The salary for this role can grow up to ₹25 lakhs per annum with experience and performance.

Career Path Roadmap

1
Software Engineer

As a software engineer, you will be responsible for developing AI agents and deploying them in industrial environments.

2
Senior Software Engineer

As a senior software engineer, you will be responsible for leading a team of software engineers and developing complex AI agents and deploying them in industrial environments.

3
Technical Lead

As a technical lead, you will be responsible for leading a team of software engineers and technical leads and developing and deploying AI agents in industrial environments.

Why This Opportunity Is Worth Considering

  • This role offers a chance to work on cutting-edge AI and ML technologies and develop AI agents that can be deployed in industrial environments.
  • You will have the opportunity to work with a team of experienced professionals and learn from them.
  • The company offers a competitive salary and benefits package and a chance to grow and develop your career.

Things To Know Before Applying

  • The company is a global leader in automation technology and software.
  • The company has a strong commitment to innovation and R&D.
  • The company offers a chance to work on diverse projects and develop a wide range of skills.

Recommended Courses

AI and ML Course
Coursera

This course provides a comprehensive introduction to AI and ML concepts and their application in industrial environments.

C# Course
Udemy

This course provides a comprehensive introduction to C# and its application in software development.

Python Course
Python.org

This course provides a comprehensive introduction to Python and its application in software development.

Career Advice

To succeed in this role, you need to have a strong understanding of AI and ML concepts and their application in industrial environments. You should also have excellent coding skills and be able to work in a team.

Editorial Note: This role is a great opportunity for software engineers who want to work on cutting-edge AI and ML technologies and develop AI agents that can be deployed in industrial environments.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The salary range for this role is ₹8-15 lakhs per annum.
The key skills required for this role are AI and ML concepts, C#, Python, TensorFlow/PyTorch, distributed systems, cloud/on-prem architectures, APIs, enterprise software development practices, and software development processes.
The career path for this role is software engineer, senior software engineer, and technical lead.

Similar Roles to Explore

AI EngineerML EngineerSoftware DeveloperData ScientistBusiness Analyst
Application trackerSkill learning pathsDaily coding practice
Apply Now
Reference Only

Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

Software Developer

NOIDA, UTTAR PRADESH, India (Hybrid)

Trending

Apply Now

Job Description

In this Role, Your Responsibilities Will Be:

In this role, you’ll help Translate Emerson’s digital transformation goals into executable, scalable agent development activities.

Work for AI-enabled applications and agent-based solutions.

Implement AI agents within the Ovation Intelligence ecosystem.

Work with team of AI engineers, software developers, and domain SMEs in developing AI agents.

Actively participate in the design and implementation of the Agent Builder platform used to create custom user agents for diagnostics, automation, engineering workflows, and operational support.

Ensure the quality of the agents to meaningfully improve operator awareness, reduce troubleshooting time, enhance engineering productivity, and enable predictive maintenance workflows.

Work closely with Engineering, Architecture, UX, QA, and domain SMEs to define agent use cases and deployment strategies.

Work with Cybersecurity teams to enforce Emerson’s rigorous security standards for AI-driven solutions.

Work with infrastructure and platform teams to align compute, GPU usage, and performance requirements.

Who You Are:

You have a strong bottom-line orientation. You learn quickly when facing new situations. You ask the right questions to accurately analyze situations. You introduce new ways of looking at problems. You orchestrate multiple activities simultaneously to accomplish a goal.

For This Role, You Will Need:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, AI/ML, or related fields.

1–5 years of hands-on experience in AI/ML model development, deployment, and optimization, with a track record of driving innovation and efficiency in real-world applications.

Experience with large language models, retrieval-augmented generation (RAG), agent architectures, and industrial AI applications.

Understanding of distributed systems, cloud/on-prem architectures, APIs, and enterprise software development practices.

Understanding of software development processes, including definition of requirements, testing and validation, and deployment.

Preferred Qualifications that Set You Apart:

We’re looking for someone with strong expertise in machine learning, deep learning, and generative AI, including LLMs, Agentic AI and its applications. Proficiency in C#, Python, TensorFlow/PyTorch is essential, along with hands-on experience deploying AI in real-world, industrial environments.

Prior experience with Emerson Ovation, industrial control systems (DCS/SCADA), or power plant operations.

Knowledge of operational technology (OT) networks, cybersecurity principles, and safety-critical system constraints.

Experience deploying AI solutions in regulated or mission-critical environments.

Familiarity with ML Ops, prompt engineering, and AI reliability frameworks.

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

About Us

WHY EMERSON

Our Commitment to Our People

At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.

We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.

At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together.

Accessibility Assistance or Accommodation

ABOUT EMERSON

Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.

With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.

We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go!

No calls or agencies please.

Apply Now

Job Info

Job Identification

26001839

Job Function

Development Engineering

Posting Date

06/26/2026, 11:47 AM

Job Schedule

Full time

Locations

A1 1st and 7th Floor, Noida, Uttar Pradesh, 201301, IN

(Hybrid)