Senior Engine Simulation Engineer

Senior 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
• 5+ 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.