Investigating electronic application and systems problems, understanding their causes, and recommending actions will ensure timely and effective resolution, improving system reliability. Exploring and applying the latest combinations of AI and physics informed modeling technologies for the prognosis and fault isolation for the next generations of Cummins products.
Requirements
- Programming experience in Python and Tensorflow, PyTorch and/or Jax and sufficient programming experience to adapt to different languages and environments
- Preference for experience in physics informed machine learning, federated learning, generative AI, control theory and/or system identification
- First principles based reduced order system modeling
- Preference for experience with HPC, cloud, edge algorithm deployment, including containerization and IoT technologies
- Ability to specify and apply electronic hardware and interconnections for measuring and controlling systems in Cummins' products.
- Skill in combining parts or sub-systems to achieve optimal performance, reliability, cost, and quality, using standard tools and best practices.
- Proficiency in using computational tools to predict product capabilities and inform design decisions at various system levels.
Responsibilities
- Investigating electronic application and systems problems, understanding their causes, and recommending actions will ensure timely and effective resolution, improving system reliability.
- Applying and enhancing development processes and tools, including system specification, modeling, simulation, calibration, and troubleshooting, will streamline workflows and improve product quality.
- Making informed decisions in electronic and electrical system design, requirements, calibration, and testing will directly impact the performance and quality of subsystems.
- Reviewing the work of less-experienced developers and testers will ensure robust, reusable, and efficient designs, while also providing valuable mentorship and knowledge transfer.
- Leading the development and improvement of work processes and systems within a functional discipline area will enhance operational efficiency and effectiveness.
- Coordinating and directing work among technicians and temporary employees, and assisting in knowledge transfer, will ensure smooth project execution and build a stronger, more knowledgeable team.
- Exploring and applying advanced techniques for health monitoring of power systems, including internal combustion, fuel cell, and battery electric systems.
Other
- Gathering input from customers, technical teams, manufacturing engineers, suppliers, and other stakeholders will lead to well-informed recommendations and quality product decisions.
- Leading smaller projects or complex components with full accountability will drive project success and demonstrate your ability to manage ambiguity and deliver results.
- Required Work Location: Hybrid (mix of on-site and off-site)
- College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required.
- Prior Senior or Lead Engineer equivalent work experience in a relevant discipline area is required with a demonstrated track record of technical problem solving and quality decision making.
