
Senior Engineer - NVH CV
- Chakan, Maharashtra
- Permanent
- Full-time
- Demonstrating a thorough understanding of vehicle NVH frontloading, particularly in light commercial vehicles (LCVs).
- Exhibiting strong skills in updating models for correlating operational NVH performance, ensuring our products meet the industry's highest standards.
- Creating and implementing effective solutions aimed at enhancing vehicle performance regarding NVH.
- Conducting advanced simulations, including engine-induced structure-borne simulations, sensitivity analysis, and diagnostics such as TPA, MCA, and PCA.
- Managing the complexities involved in variability considerations during simulations.
- Utilising NVH optimization tools such as LMS Virtual LAB effectively while collaborating on various design validation plans (DVPs).
- Assessing and resolving noise and vibration issues in road-induced structure-borne simulations.
- Implementing design solutions and cascading vehicle-level operational NVH targets to specific simulation targets.
- Documenting processes and preparing content for multiple projects, ensuring manufacturability, cost efficiency, and performance integrity.
- Solid expertise in automotive NVH, specifically with experience in light commercial vehicles (LCVs).
- A background in NVH simulations, preferably 2 to 5 years, involving full vehicle finite element (FE) model building using HyperMesh.
- Experience in creating NASTRAN decks for SOL 108 and SOL 111, using Virtual Lab.
- Proficiency in FEM/BEM acoustic analysis with tools such as Sysnoise and Virtual Lab.
- Competency in post-processing techniques including TPA and PCA using industry-standard software.
- A degree in Mechanical or Automotive Engineering.
- At least one year of practical experience in NVH.
- Exhibit strong problem-solving skills and the ability to think analytically.
- Communicate effectively with cross-functional teams and stakeholders.
- Adapt to evolving project requirements and maintain flexibility in approach.
- Be dedicated to continuous learning and improvement in NVH methodologies.