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Job Description
Major Responsibilities
- Perform system-level and component-level simulations using 1-D tools such as GT-SUITE, Matlab/Simulink, Converge, and Ansys Fluent to support engine and generator design and development.
- Conduct CFD and FEA analyses to evaluate thermal, structural, and fluid dynamics performance of mechanical and energy systems.
- Conduct in-cylinder combustion analysis using Converge to aid in optimizing the power cylinder design for combustion efficiency and thermal management.
- Interpret simulation results and collaborate with cross-functional teams through design reviews and technical discussions to guide product development.
- Contribute to the development of modeling workflows and analysis best practices to improve efficiency and accuracy.
- Document analysis objectives, methods, and results using standardized reporting formats.
- Apply data analysis techniques, including Matlab/Simulink modeling, Python-based scripting and machine learning, to support predictive modeling and performance forecasting.
- Stay informed on relevant technologies, tools, and industry trends to support continuous improvement. Minimum Job Requirements Education
- Bachelors degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a related field of study. Certification / License Work Experience
- 3 years of experience in a Simulation Engineer, Analysis Engineer, or a related engineering discipline.
- 3 years of hands-on experience with 1-D simulation with GT-SUITE.
- 2 years of experience applying MATLAB/Simulink and Python in engineering analysis and simulation.
- 1 year of hands-on experience with GT-xCHEM or CHEMKIN as applied to engine aftertreatment system modeling. Knowledge / Skills / Abilities
- Proficiency in applying 1-D and 3-D CFD tools to internal combustion engine related systems, including thermal management, lubrication system, crankcase ventilation, combustions phasing, camshaft design, turbochargers, exhaust gas recirculation, and exhaust aftertreatment.
- Experienced in simulating in-cylinder combustion using Converge.
- Experience with co-simulation environments, including Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL).
- Familiarity with machine learning and predictive analytics techniques applied to engine performance and emissions modeling.
- Familiarity with internal combustion engine exhaust aftertreatment system design and specification.
Skills
PythonData AnalysisMachine LearningPredictive AnalyticsPredictive ModelingAnalyticsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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