Electronic Systems Product Engineer

Job Summary

Entry level/early career professional, product focused position tailors electronic and electrical systems for Cummins products. People in these positions translate product requirements into hardware and software technical requirements that control the operation of Cummins’ products in a variety of customer applications. Additionally, they configure (tune) and complete comprehensive validation testing of fully integrated hardware and software systems.

• Investigates electronic application and systems problems, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results with guidance from more experienced team members.
• Applies and supports the improvement of electronic application and systems development processes and tools. Processes include system specification, modeling and simulation, calibration, Design Verification Plan and Report (DVP&R), and troubleshooting. Application of tools for simulation, calibration, and product life maintenance required.
• Obtains input from customers, technical and product teams, manufacturing engineers, supplier partners, and other stakeholders to deliver information and recommendations that lead to quality product decisions.
• Makes decisions in the areas of electronic and electrical system design, requirements, calibration, and test that impact the quality and performance of individual calibrated features and/or components.
• Owns problem resolution for moderately complex components, products, systems, subsystems or services with technical complexity and ambiguity increasing as experience is gained in the role.
• Provides independent execution of established work processes and systems, while still developing technology or product knowledge; engages with the improvement of systems and processes.
• Involves no direct management of people but could involve the coordination and direction of work amongst technicians and/or temporary student employees.
• Contributes effectively toward team goals, exhibits influence within a work group and continues to develop proficiency in the competency areas critical to success in the role.

College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required.

Post‑graduate (Master's) degree relevant to this discipline may be required for select roles.

This position may require licensing for compliance with export controls or sanctions regulations.

Entry level/Early career professional. Preferred candidates would have relevant experience working in either a temporary student employment environment (intern, co‑op, or other extracurricular team activities) or as an early‑career professional in a relevant technical discipline area. Knowledge of MS Office tools is also preferred.

• College Job Type: Entry Level University Hire
• Degree Level: Bachelor
• Education Program:
  Engineering in Mechanical/Electronics/Computer Science
• Start Date:
  
  June 2026

• Proficiency in Python, MATLAB for Data manipulation and Analysis
• Experience with SQL and database management
• Competency in R for Data Visualization and statistical analysis
• Understanding of Engineering principles and numerical methods
• Strong analytical and Problem‑solving skills
• Effective written and verbal communication skills
• Ability to work well in a team environment
• Willingness to learn and apply new tools and technologies
• Precision in coding and data handling

• Engine System expertise:
  Understanding of Internal Combustion Engine components, operation and performance characteristics
• Familiarity with Emissions Control systems, Including EGR, SCR, DPF, and Aftertreatment technologies
• Knowledge of Diagnostics protocols like OBD standards

• Familiarity with basic Machine Learning concepts and libraries
• Knowledge on Cloud Platforms (e.g.: AWS, Azure) for Data Storage, Data processing
• Knowledge of advanced Data Visualization tools like Power BI
• Experience with Advanced Statistical methods like multivariate analysis or time series forecasting
• Familiarity with Databricks for big data processing, analytics and machine…