Sr Engine Simulation Engineer

The Senior Staff Engine Analysis/Simulation Engineer provides engineering input that supports the advancement of the design and performance of internal combustion engines (ICE), through simulation, modeling, and data-driven analysis. This position leverages 1-D & 3-D, CFD, FEA, and machine learning tools to optimize system behavior, reduce emissions, and improve product reliability across a range of applications.

• Lead the development and performance of 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 and make recommendations based upon simulation results and collaborate with cross-functional teams through design reviews and technical discussions to guide product development.
• Develop modeling workflows and analysis best practices to improve efficiency and accuracy.
• Document analysis objectives, methods, and results using standardized reporting formats and recommend modifications based upon findings.
• 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 and recommend changes to best practice based upon findings.

• Bachelor of Science Degree in Mechanical or Electrical Engineering or related discipline
• 10+ years of relevant work experience

• Previous experience in a Simulation Engineer, Analysis Engineer, or a related engineering discipline.
• Proficiency in 1-D simulation with GT-SUITE.
• Proficient at applying MATLAB/Simulink and Python in engineering analysis and simulation.
• Extensive 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.
• Proficient in simulating in-cylinder combustion using Converge.
• Proficient with co-simulation environments, including Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL).
• Experience with machine learning and predictive analytics techniques applied to engine performance and emissions modeling.
• Experience 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.

• Master’s degree in mechanical engineering, Aerospace Engineering, Computer Science, or a related field of study.

• Expertise in engine and engine system simulation with GT-SUITE.
• Expertise applying MATLAB/Simulink and Python in engineering analysis and simulation to internal combustion engine design.
• Fluency in using Converge to conduct in-cylinder combustion modeling in internal combustion engines.
• Expertise 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.