As a Graduate Apprentice Trainee in Technology Engineering, you will work on innovative projects, automate CAE workflows, analyze simulation data, and develop dashboards for engineering insights. You will have the opportunity to collaborate with experts, gain hands-on industry experience, and contribute to sustainable mobility solutions.
Volvo Group is a leading manufacturer of trucks, buses, construction equipment, and marine and industrial engines. With a strong commitment to sustainability and innovation, the company is shaping the future of transport and infrastructure solutions. Volvo Group values diversity, inclusivity, and teamwork, and is dedicated to nurturing young talent through programs like the National Apprenticeship Training Scheme (NATS).
Why required: CAE tools are essential for simulating and analyzing the behavior of complex systems, and are widely used in the automotive and aerospace industries.
How recruiters evaluate: The recruiter will evaluate your proficiency in using CAE tools such as ANSA, Hypermesh, and Nastran, and your ability to apply them to real-world problems.
Why required: Python is a popular programming language used extensively in data analysis, machine learning, and automation.
How recruiters evaluate: The recruiter will assess your Python programming skills, including your ability to write efficient code, work with libraries like Pandas and NumPy, and integrate Python with other tools.
Why required: SQL is a fundamental skill for working with databases, and is essential for data analysis and reporting.
How recruiters evaluate: The recruiter will evaluate your SQL skills, including your ability to write queries, create databases, and optimize database performance.
Why required: Data analysis is a critical skill for engineers, and is used to identify trends, optimize systems, and make data-driven decisions.
How recruiters evaluate: The recruiter will assess your data analysis skills, including your ability to collect and analyze data, identify patterns, and communicate insights effectively.
Why required: Data science is a rapidly growing field that combines data analysis, machine learning, and domain expertise to extract insights from data.
How recruiters evaluate: The recruiter will evaluate your data science skills, including your ability to work with large datasets, build predictive models, and communicate complex insights effectively.
Why required: AIML (Artificial Intelligence Markup Language) is a language used to create conversational interfaces, and is increasingly used in industry and academia.
How recruiters evaluate: The recruiter will assess your AIML skills, including your ability to design and implement conversational interfaces, and integrate AIML with other tools and technologies.
Why required: Statistical methods are essential for engineers, and are used to analyze and interpret data, identify trends, and make predictions.
How recruiters evaluate: The recruiter will evaluate your statistical skills, including your ability to apply statistical techniques to real-world problems, and communicate insights effectively.
Why required: CAE (Computer-Aided Engineering) is a critical skill for engineers, and is used to simulate and analyze complex systems, and optimize designs.
How recruiters evaluate: The recruiter will assess your CAE skills, including your ability to use CAE tools, simulate and analyze systems, and optimize designs.
Why required: Simulation is a critical skill for engineers, and is used to model and analyze complex systems, and predict behavior under different scenarios.
How recruiters evaluate: The recruiter will evaluate your simulation skills, including your ability to design and run simulations, analyze results, and communicate insights effectively.
Why required: Engineering analytics is a critical skill for engineers, and is used to analyze and interpret data, identify trends, and make predictions.
How recruiters evaluate: The recruiter will assess your engineering analytics skills, including your ability to apply statistical and machine learning techniques to engineering problems, and communicate insights effectively.
Fresh engineering graduates with a strong foundation in mathematics and physics, and a passion for technology and innovation.
Experienced engineers looking to transition into a new field or industry, and who have a strong foundation in CAE, simulation, and engineering analytics.
Graduates with a degree in engineering, physics, or mathematics, and who have a strong foundation in CAE, simulation, and engineering analytics.
B.Tech graduates with a strong foundation in mathematics and physics, and a passion for technology and innovation.
MCA graduates with a strong foundation in computer science and mathematics, and a passion for technology and innovation.
Diploma holders with a strong foundation in engineering, physics, or mathematics, and a passion for technology and innovation.
The salary range for this position is ₹22,000 – ₹35,000 per month, which is competitive with industry standards.
Freshers can expect a salary range of ₹20,000 – ₹30,000 per month, depending on their skills and experience.
Experienced engineers can expect a salary range of ₹30,000 – ₹50,000 per month, depending on their skills and experience.
The salary range for this position is expected to grow as the company continues to expand and innovate.
This is an entry-level position that provides a foundation for a career in technology and innovation.
This position involves working on projects and contributing to the development of new technologies.
This position involves leading projects and teams, and contributing to the development of new technologies.
This course provides a comprehensive introduction to CAE tools and simulation techniques.
This course provides a comprehensive introduction to engineering analytics and machine learning.
This course provides a comprehensive introduction to Python programming and is suitable for beginners.
To succeed in this role, you should have a strong foundation in mathematics and physics, and a passion for technology and innovation. You should also be able to work well in a team and communicate complex ideas effectively.
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Graduate Apprentice Trainee
Location: Bangalore, IN, 562122
Position Type: Student
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
We value your data privacy and therefore do not accept applications via mail.
Who we are and what we believe in
We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.
Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.
Trucks Technology & Industrial Division hire team players who are ready to create real customer impact. Our decentralized teams work close to our customers, with speed and autonomy, to build what they truly need.
Join us to collaborate on innovative, sustainable technologies that redefine how we design, build, and deliver value. Bring your curiosity, your expertise, and your collaborative energy, and together, we’ll turn bold ideas into tangible solutions for our customers and contribute to a more sustainable tomorrow.
About Volvo Group:
At Volvo Group, we are driving prosperity through transport and infrastructure solutions, shaping the future of sustainable mobility. As part of our commitment to nurturing young talent, we invite fresh engineering graduates to join us under the National Apprenticeship Training Scheme (NATS). This is an excellent opportunity to gain hands-on industry experience and work alongside experts on real-world projects
Eligibility Criteria
Education: B.Tech / B.E. in Automobile Engineering or Mechanical Engineering
Year of Graduation: 2023, 2024, or 2025/2026
Program: National Apprenticeship Training Scheme (NATS) .
Key Skills & Knowledge Areas:
Strong fundamentals in Strength of Materials and Solid Mechanics.
Knowledge of CAE Tools such as ANSA, Hypermesh, Nastran
Intermediate Knowledge of tools like Python, SQL and Data Analysis Techniques.
Exposure to Data Science & AIML would be an added advantage.
Statistical methods for engineering applications
Passion for CAE, simulation, and engineering analytics.
Interest in combining mechanical engineering with data driven decision making.
Understanding of meshing, model setup, load application, boundary conditions, and result interpretation would be added advantage
Roles & Responsibilities:
Automate CAE workflows and simulation data processing using Python, SQL, Pandas, and NumPy to improve engineering efficiency.
Analyze simulation and historical data to identify trends and enhance predictive durability methodologies.
Develop dashboards and visualizations using Power BI, Tableau, Matplotlib, and Excel for engineering insights and decision making.
Apply statistical analysis, predictive modelling, and basic machine learning techniques to improve durability prediction accuracy.
Program Duration: As per NATS guidelines
Job Category: Technology Engineering
Organization: Trucks Technology & Industrial
Travel Required: No Travel Required
Requisition ID: 32685
