Job Purpose:
BorgWarner Technical Center India is seeking an experienced eMotor Design Methods & Tools Engineer to support the company's electromagnetics and multi-physics engineering capabilities as part of its digital transformation strategy. This role is responsible for the development, validation, automation, and deployment of engineering models, software tools, and digital workflows that enable innovative, optimized, and efficient electric motor designs.
The position focuses on building and integrating eMotor design databases, simulation-driven engineering workflows, optimization frameworks, and graphical user interfaces. It also plays a key role in advancing thermal, electromagnetic, and NVH (Noise, Vibration, and Harshness) engineering capabilities, while supporting enterprise Web Tools/Applications. Through Python and MATLAB-based software development, workflow automation, and Digital Twin integration, this role helps improve engineering productivity, product performance, and scalability across global engineering teams.

Key Responsibility:

▪ Develop and optimize electric motor design methods, models, and engineering workflows.

▪ Create and maintain digital processes for motor design, simulation, and performance analysis.

▪ Build, validate, and automate engineering models, software tools, and multi-physics workflows.

▪ Develop and maintain eMotor databases, model libraries, and reference architectures.

▪ Create software solutions using Python and MATLAB for automation, data processing, simulation integration, and design optimization.

▪ Automate simulation workflows and coordinate large-scale analyses to improve engineering efficiency.

▪ Support thermal, electromagnetic, performance, efficiency, and NVH analysis of electric motors.

▪ Develop, calibrate, and enhance thermal and NVH engineering models and capabilities.

▪ Integrate simulation tools and optimization frameworks into Digital Twin and engineering ecosystems.

▪ Manage engineering data, model configurations, and design parameters.

▪ Validate models using laboratory, bench, and vehicle test data.

▪ Apply engineering models to customer projects and communicate technical results.

▪ Support development, testing, and release of engineering tool/applications.

▪ Drive continuous improvement, standardization, and adoption of new methods, tools, and technologies.

▪ Mentor engineers and contribute to technical knowledge sharing across global teams.

Think Differently at BorgWarner

We’re building our future - and the future of mobility solutions - with the world’s top talent. Driven by a rich history of innovation and excellence, we’re designing and manufacturing the cutting-edge systems that will define the way we move forward. We offer exciting jobs that require all of us to think differently—to look at challenges with a new perspective, to question what we know, and explore what we don't. If you share our vision for a net-zero world and are committed to inclusion, integrity, excellence, responsibility and collaboration, you’ve come to the right place.

What We Are Looking For

Required Qualifications

▪ Master's degree in Electrical Engineering, Mechanical Engineering, or a related field.

▪ Minimum 5+ years of experience in electric motor design, including 2D and 3D motor geometry development.

▪ Minimum 3 years of experience with hybrid and electric propulsion systems.

▪ Strong expertise in electric motor design and simulation tools such as Motor-CAD, Maxwell, or equivalent software.

▪ Hands-on experience with Python and MATLAB for engineering analysis, automation, and model development.

▪ Solid understanding of:

• Electromagnetic analysis
• Thermal analysis
• CFD and FEA methods
• Analytical modeling techniques
• Design optimization and model simplification

▪ Automotive industry or electrified powertrain development experience.

▪ Strong analytical, problem-solving, communication, and teamwork skills.

Preferred Qualifications

▪ Experience with engineering workflow automation, simulation integration, and digital engineering solutions.

▪ Experience with configuration management systems and engineering data management processes.

▪ Knowledge of engineering data storage, retrieval, and archival methodologies.

▪ Expertise in electric motor NVH, dynamics, electromagnetics, and thermal systems.

▪ Experience with time-domain, frequency-response, and modal analysis techniques.

▪ Experience with simulation and modelling tools such as:

• ANSYS Suite
• MathWorks Suite
• GT-SUITE
• Amesim
• Mathcad
• MANATEE

▪ Experience with co-simulation environments and software integration.

▪ Programming experience beyond core requirements (e.g., C/C++, advanced Python frameworks, or additional scripting languages).

▪ Experience working within global engineering organizations.

▪ Experience driving digital transformation, model-based engineering, or Digital Twin initiatives.

#L1 Hybrid Hiring

Global Terms of Use and Privacy Statement

Carefully read the BorgWarner Privacy Policy before using this website. Your  ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms.

Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Career Scam Disclaimer:  BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website.  To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner.  Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online.  Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.