HEV / xEV Simulation Engineer

Role & responsibilities : Were Hiring | HEV / xEV Simulation Engineer
Location: Chennai

Qualification: BE/BTech/ME/MTech (Mechanical/Automotive/Electrical), PhD (Engine/Thermal/Climate)

Experience : 6 To 9 Years

Notice Period: Immediate to 30 Days

Skill set: MATLAB, Simulink, GT-Suite, AVL-Cruise, Amesim, M-scripting, Github, IC Engine, HEV

Domain knowledge : - 3+ years of experience with analyzing various hybrid electric vehicle (HEV) architectures such as full, plug-in, series, parallel, powersplit, and range extender systems. (mandatory)
- 3+ years of experience with operation, modeling and control of internal combustion engines and aftertreatment systems for ensuring regulatory compliance. (mandatory)
- 3+ years of experience with MATLAB / Simulink / Stateflow. (mandatory)
- 3+ years of experience with other relevant simulation tools (e.g., GT-SUITE, AVL CRUISE M, AMESim, etc.). (mandatory)
- Direct experience with model development of specific complex xEV architectures (e.g., powersplit, series, parallel, and advanced multi-mode hybrids). (good to have)
- Good understanding of EPA emissions regulations for light-duty / heavy-duty vehicles. (good to have)
- Working knowledge of Thermal, Climate systems and Passenger Comfort as applied to hybrid electric architectures. (good to have)
- Experience with optimization techniques and tools applied to engineering problems like ModeFrontier.
- Experience in Matlab based scripting/Python based scripting (good to have).
- Demonstrated strong written and verbal communication skills.
- Excellent organizational skills including attention to detail and multi-tasking skills.

Preferred candidate profile :

- Conduct detailed vehicle-level attribute analysis (fuel economy, performance, emissions, thermal management, passenger comfort) using high-fidelity simulation models across diverse xEV architectures to drive development and optimization of Fords current and future xEV offerings.
- Perform functional validation and correlation of high-fidelity vehicle and propulsion system models against physical test data, ensuring accuracy and reliability across steady-state and transient operating conditions.
- Lead and execute large-scale attribute optimization studies leveraging HPC/cloud environments to balance system performance objectives over regulatory cycles and representative real-world customer driving profiles.
- Develop intuitive dashboards and reports to effectively visualize and communicate complex simulation results and real-world data insights to engineering

Please share me yoyr updated cv's to email ID : [email removed]