Salary
💰 $85,600 - $128,400 per year
Tech Stack
CloudIoTPythonPyTorchTensorflow
About the role
- We are looking for a talented Electronic Systems Product Specialist to join our team specializing in Engineering in Columbus, IN.
- In this role, you will make an impact in the following ways:
- Problem Resolution: Investigating electronic application and systems problems, understanding their causes, and recommending actions will ensure timely and effective resolution, improving system reliability.
- Process Improvement: Applying and enhancing development processes and tools, including system specification, modeling, simulation, calibration, and troubleshooting, will streamline workflows and improve product quality.
- Collaboration: Gathering input from customers, technical teams, manufacturing engineers, suppliers, and other stakeholders will lead to well-informed recommendations and quality product decisions.
- Technical Decision-Making: Making informed decisions in electronic and electrical system design, requirements, calibration, and testing will directly impact the performance and quality of subsystems.
- Mentorship: Reviewing the work of less-experienced developers and testers will ensure robust, reusable, and efficient designs, while also providing valuable mentorship and knowledge transfer.
- Leadership: Leading smaller projects or complex components with full accountability will drive project success and demonstrate your ability to manage ambiguity and deliver results.
- Process Development: Leading the development and improvement of work processes and systems within a functional discipline area will enhance operational efficiency and effectiveness.
- Team Coordination: 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.
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