Key Responsibilities

• Perform crash simulations and analysis using industry-standard tools (LS-DYNA, HyperMesh, ANSA, etc.) to evaluate vehicle crashworthiness and occupant safety.
• Collaborate with design and engineering teams to align crashworthiness goals with product specifications.
• Stay updated with industry safety standards (FMVSS, ECE, IIHS, etc.) and incorporate them into simulation practices.

Qualifications

• Experience: 3-5 years of relevant experience in crash analysis, crashworthiness, or related fields.
• Education: Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering, or a related discipline.
• Technical Skills:
  • Proficiency in LS-DYNA, HyperMesh, ANSA, or similar crash analysis software.
  • Strong understanding of crashworthiness concepts, vehicle dynamics, and occupant safety.
  • Knowledge of vehicle safety standards and regulations (FMVSS, ECE, NCAP, etc.).

Key Responsibilities

• Conduct NVH and durability simulations using Abaqus, Nastran, and other industry-standard software.
• Collaborate with design, engineering, and testing teams to optimize product designs for noise reduction, durability, and vibration minimization.
• Provide detailed documentation, reports, and presentations to communicate findings and recommendations to project stakeholders.

Qualifications

• Experience: 3-5 years of experience in NVH and durability analysis, preferably in automotive, aerospace, or related fields.
• Education: Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering, or a related discipline.
• Technical Skills:
  • Proficiency in Abaqus and Nastran for NVH and durability simulations.
  • Strong understanding of structural mechanics, dynamics, and fatigue analysis.
  • Experience with pre- and post-processing tools (such as HyperMesh, ANSA, or similar)

Qualifications

• Experience: 1-2 years of experience in CFD analysis, preferably in automotive, aerospace, or related industries.
• Education: Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.
• Technical Skills:
  • Proficiency in Star CCM+ and Fluent for CFD analysis.
  • Strong understanding of fluid dynamics, heat transfer.
  • Knowledge of CFD best practices and ability to troubleshoot simulation issues.

Key Responsibilities

• Develop and implement machine learning algorithms, including neural networks, to optimize mechanical engineering processes and predict system behaviors.
• Use Python programming and libraries (such as TensorFlow, PyTorch, SciPy, pandas) to design and test machine learning models for Finite Element / Finite Volume simulations.
• Collaborate with mechanical engineering teams to integrate data-driven solutions into product designs and simulations.
• Analyze large datasets from simulations, experiments, and real-world systems to derive meaningful insights for design optimization and predictive maintenance.
• Build and fine-tune predictive models to improve the accuracy and performance of engineering products.
• Conduct data pre-processing, feature engineering, and model validation to ensure high-quality results.
• Prepare reports and visualizations to communicate complex findings to technical and non-technical stakeholders.
• Stay updated with the latest advancements in machine learning and data science, particularly as they apply to mechanical engineering.

Qualifications

• Experience: 3-5 years of experience in data science or machine learning, with a strong background in mechanical engineering or a related field.
• Education: Master’s degree in Mechanical Engineering, Data Science, Applied Mathematics, or a related discipline. PhD Candidates are welcomed.
• Technical Skills:
  • Proficiency in Python programming and machine learning libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn.
  • Strong understanding of neural networks, deep learning, and machine learning algorithms.
  • Knowledge of mechanical engineering concepts, such as structural mechanics, thermodynamics, or fluid dynamics.
  • Familiarity with data manipulation and visualization tools (e.g., pandas, NumPy, matplotlib, seaborn).

Key Responsibilities

• Perform 1D system performance simulations using GT Suite, Amesim, Matlab/Simulink, and other relevant tools.
• Develop, test, and validate system models to simulate the behavior of complex mechanical, automotive, and mass /energy systems.
• Optimize system performance through simulation, including thermal management, fuel efficiency, powertrain performance, and HVAC systems.
• Collaborate with multidisciplinary teams, including mechanical engineers, control engineers, and system architects, to align simulation results with product design and requirements.
• Analyze simulation results, identify design improvements, and recommend modifications to improve system performance and efficiency.
• Prepare technical reports and presentations to communicate findings, insights, and recommendations to stakeholders.

Qualifications

• Experience: 3-5 years of relevant experience.
• Education: Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering,
• Technical Skills:
  • Proficiency in GT Suite, Amesim, and Matlab/Simulink for system performance simulations.
  • Strong knowledge of system dynamics, thermodynamics, and mechanical system modelling.

Key Responsibilities

• Perform multi-body dynamics (MBD) simulations using Simpack or Adams to analyze the behavior of mechanical systems, including automotive components, machinery, and suspension systems.
• Develop, test, and validate dynamic models of complex mechanical systems, including modeling kinematics, dynamics, and vibrations.
• Conduct system-level analysis, including load analysis, motion analysis, and component interactions, to improve system performance and durability.
• Analyze simulation results, identify potential improvements, and provide recommendations to enhance product design, performance, and safety.
• Prepare detailed technical reports and presentations to communicate findings and recommendations to clients and stakeholders.

Qualifications

• Experience: 3-5 years of relevant experience.
• Education: Bachelor’s or Master’s degree in Mechanical Engineering, Automotive Engineering,
• Technical Skills:
  • Proficiency in Simpack or Adams for multi-body dynamics simulations.
  • Strong understanding of mechanical system dynamics, kinematics, and vibrations.
  • Experience with system-level simulations for automotive, machinery, or suspension systems.
  • Familiarity with model validation, sensitivity analysis, and optimization techniques.