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The Engine Analysis Engineer plays an important role in advancing the design and performance of internal combustion engines (ICE), through simulation, modeling, and data-driven analysis. This position leverages 1-D, CFD, FEA, and machine learning tools to optimize system behavior, reduce emissions, and improve product reliability across a range of applications.
Job Responsibility:
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
Requirements:
Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a related field of study
2 years of relevant work experience
Experience as a Simulation Engineer, Analysis Engineer, or a related engineering discipline
Hands-on experience with 1-D simulation with GT-SUITE
Experience applying MATLAB/Simulink and Python in engineering analysis and simulation
Hands-on experience with GT-xCHEM or CHEMKIN as applied to engine aftertreatment system modeling
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
Strong analytical and problem-solving skills, with a deep understanding of internal combustion engine design, operation, and testing
Strong written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences
Nice to have:
Master’s degree in mechanical engineering, Aerospace Engineering, Computer Science, or a related field of study
5 years of hands-on experience in engine and engine system simulation with GT-SUITE
3 years of experience applying MATLAB/Simulink and Python in engineering analysis and simulation to internal combustion engine design
3 years of experience using Converge to conduct in-cylinder combustion modeling in internal combustion engines
3 years of experience in exhaust aftertreatment simulation with GT-Suite/GT-xCHEM or CHEMKIN
Advanced proficiency in applying 1-D and 3-D CFD tools to complex propulsion systems, with demonstrated success in optimizing thermal, lubrication, and ventilation performance
Deep expertise in internal combustion engine system architecture, operational dynamics, and advanced testing methodologies
Extensive experience designing and executing co-simulation workflows, including SiL and HiL integration for real-time system validation
Exceptional ability to synthesize and present complex simulation insights to diverse technical and non-technical stakeholders, influencing design decisions
Proficient in applying machine learning and advanced predictive analytics to optimize engine performance and emissions, with experience developing custom models
Superior analytical acumen and strategic problem-solving capabilities, with a track record of delivering high-impact engineering solutions
Excellent written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences
Familiarity with gaseous fuel systems for internal combustion engines
What we offer:
medical, dental and vision plans
life, long-term disability, flexible spending, and health savings accounts, accrued paid time off, 8 paid Holidays, opportunity for overtime and 401(k) retirement benefits