Engineer II - Engine Coding

Description

• Stay informed on relevant technologies, tools, and industry trends to support continuous improvement.
• Apply data analysis techniques, including Matlab/Simulink modeling and Python-based scripting and machine learning, to support code performance forecasting.
• Contribute to the development of software and code analysis best practices to improve efficiency and accuracy.
• Conduct simulated and functional analyses to evaluate engine performance of mechanical and energy systems.
• Document code objectives, methods, and results using standardized reporting formats.
• Conduct system evaluation and testing to aid in optimizing an engine’s steady state and transient performance.
• Create system-level engine code using Matlab/Simulink to support engine and generator design and development.
• Interprets testing results and collaborates with cross-functional teams through code design reviews and technical discussions to guide product development.

Requirements

• Bachelor of Science Degree in Mechanical or Electrical Engineering or related discipline
• Experience applying MATLAB/Simulink and Python in engineering analysis and simulation.
• Familiarity with generator design.
• Master’s degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field of study.
• Excellent written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.
• Vast ability to synthesize and present complex code insights to diverse technical and non-technical stakeholders, influencing design decisions.
• Advanced experience in engine and engine system code writing in Matlab/Simulink.
• Proficiency in applying Matlab/Simulink code to complex propulsion systems, with demonstrated success in optimizing transients, steady state, and overall performance.
• Hands-on experience with Matlab/Simulink.
• Experience designing and executing co-simulation workflows, including SiL and HiL integration for real-time system validation.
• 2 or more years of relevant work experience
• Proficiency in applying Matlab/Simulink to internal combustion engine related systems, including steady state, transient, fault codes, SPNs, SAE J1939 CAN networks, sensor integration, and embedded systems.
• Familiarity with machine learning and predictive analytics techniques applied to engine performance and emissions modeling.
• Advanced experience using ATI Vision to set calibrations in internal combustion engines.
• Strong written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.
• Hands-on experience with Matlab/Simulink as applied to engine control.
• Experienced in automotive standards.
• Experience with co-simulation environments, including Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL).
• Advanced experience in applying MATLAB/Simulink and Python in engineering analysis and simulation.
• Advanced experience applying MATLAB/Simulink and Python to internal combustion engine design.
• Understanding of applying machine learning and advanced predictive analytics to optimize engine performance with experience developing custom code.
• Strong analytical and problem-solving skills, with a deep understanding of internal combustion engine design, operation, and testing.
• Deep knowledge in internal combustion engine system architecture, operational dynamics, and advanced testing methodologies.
• Familiarity with gaseous fuel systems for internal combustion engines.
• Analytical acumen and strategic problem-solving capabilities, with a track record of delivering high-impact engineering solutions.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance