Mechanical Engineer II-Engines

Generac Power Systems • Waukesha, WI

78d • Onsite

About The Position

We are Generac, a leading energy technology company committed to powering a smarter world. Over the 60 plus years of Generac's history, we've been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries. The Mechanical Engineer II-Engines plays an important role in advancing the design and performance of internal combustion engines (ICE), through engine development, data-driven analysis, testing, and design of system components. This position leverages data analytics, ATI Vision, and data acquisition tools to optimize system behavior, improve engine control, improve product reliability, and increase engine performance across a range of gaseous fueled applications.

Requirements

• Bachelor's degree in Mechanical Engineering or Electrical Engineering, or related discipline.
• 2 or more years of relevant work experience.
• Experience in new IC engine design and development.
• Ability to create systems for internal combustion engines, including understanding of the effects of spark control, adjusting AFR for best performance and emissions, PID settings for best transient performance, MAP based control, calibrating w/EGR, and calibrating with a catalyst.
• Develops, tests, and integrates complex components and evaluates overall effectiveness, cost (including cost/benefit analysis), reliability (risk analysis), and safety.
• Designs, develops, executes, and evaluates testing, product specifications, and process validation plans for a variety of complex products and/or components.
• Ability to perform detail-oriented work with a high degree of accuracy on multiple projects.
• Good knowledge of internal combustion engine performance development and specification.
• Strong analytical and problem-solving skills, with a deep understanding of internal combustion engine design, operation, and testing.
• Written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.
• Familiarity with machine learning and predictive analytics techniques applied to engine performance and emissions modeling.
• Collaborate with internal manufacturing partners, contract manufacturers, designers, and product specialists to optimize complex and advanced designs for performance.

Nice To Haves

• Master's degree in mechanical engineering, Aerospace Engineering, Computer Science, or a related field of study.
• 3 years of hands-on experience in engine and engine system development.
• 3 years of experience applying MATLAB/Simulink and Python in internal combustion engine design.
• 3 years of experience using ATI Vision for calibrating internal combustion engines.
• 2 years of experience in an Automotive, Development, or a related engineering discipline.
• 2 years of hands-on experience with engine and engine component development.
• 2 years of experience in powertrain data collection and analysis - ATI/CAN or similar.
• 1 year of hands-on experience with ATI Vision as applied to engine control systems.
• 1 year of experience in exhaust aftertreatment simulation with GT-Suite/GT-xCHEM or CHEMKIN.

Responsibilities

• Develop engine systems and components for engine performance using design reviews, testing, problem solving, and calculations to support engine and generator design.
• Conduct testing to evaluate the engine and systems relative to performance and emissions.
• Conduct system analysis using development processes to aid in optimizing the transient, emissions, and steady-state performance of the engine/generator.
• Interpret testing results and collaborate with cross-functional teams through design reviews and technical discussions to guide product development.
• Contribute to the development of engine workflows and analysis best practices to improve group efficiency and accuracy.
• Document project objectives, methods, and results using standardized reporting formats.
• Apply data analysis techniques, including Matlab/Simulink or 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Machinery Manufacturing
• Education Level: Bachelor's degree