Engineer II - Engine Coding

The Engine Code Engineer II

plays an important role in advancing the design and performance of internal combustion engines (ICE), through code creation, embedded software, and code validation. This position leverages CAN, ATI Vision, and Matlab/Simulink tools to optimize system behavior, improve engine control, and increase engine performance across a range of gaseous fueled applications.

- Create system-level engine code using Matlab/Simulink to support engine and generator design and development.

- Conduct simulated and functional analyses to evaluate engine performance of mechanical and energy systems.

- Conduct system evaluation and testing to aid in optimizing an engine’s steady state and transient performance.

- Interprets testing results and collaborates with cross-functional teams through code design reviews and technical discussions to guide product development.

- Contribute to the development of software and code analysis best practices to improve efficiency and accuracy.

- Document code objectives, methods, and results using standardized reporting formats.

- Apply data analysis techniques, including Matlab/Simulink modeling and Python-based scripting and machine learning, to support code performance forecasting.

- Stay informed on relevant technologies, tools, and industry trends to support continuous improvement.

Minimum Qualifications

- Bachelor of Science Degree in Mechanical or Electrical Engineering or related discipline

- 2 or more years of relevant work experience

Knowledge, Skills And Abilities

- Hands-on experience with Matlab/Simulink.

- Experience applying MATLAB/Simulink and Python in engineering analysis and simulation.

- Hands-on experience with Matlab/Simulink as applied to engine control.

- 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.

- Experienced in automotive standards.

- 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 generator design.

- 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.

Preferred Qualifications

- Master’s degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field of study.

- Advanced experience in engine and engine system code writing in Matlab/Simulink.

- Advanced experience applying MATLAB/Simulink and Python to internal combustion engine design.

- Advanced experience using ATI Vision to set calibrations in internal combustion engines.

- Advanced experience in applying MATLAB/Simulink and Python in engineering analysis and simulation.

- Proficiency in applying Matlab/Simulink code to complex propulsion systems, with demonstrated success in optimizing transients, steady state, and overall performance.

- Deep knowledge in internal combustion engine system architecture, operational dynamics, and advanced testing methodologies.

- Experience designing and executing co-simulation workflows, including SiL and HiL integration for real-time system validation.

- Vast ability to synthesize and present complex code insights to diverse technical and non-technical stakeholders, influencing design decisions.

- Understanding of applying machine learning and advanced predictive analytics to optimize engine performance with experience developing custom code.

- 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.