G
Generac
Simulation Engineer
Skills
PythonMATLABData AnalysisMachine Learning
3 days ago
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Important information
Contract type:
Permanent
Location:
Ramban 182144
Work mode:
Onsite
Published on:
16 October 2026
What they need
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
- Bachelor’s 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.
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