Gridware is seeking a systems research engineer to be the go-to expert for how their products detect electromagnetic phenomena around the grid, translating research into engineering and defining performance needs for measurement and interpretation of these phenomena.
Requirements
- 3+ years of experience developing performance requirements and testing hardware against those requirements.
- 3+ years of hands-on experience designing, developing, and executing physical experiments.
- 3+ years of scientific computing experience in a language like MATLAB or Python.
- Strong fundamentals in electromagnetics.
- Hardware development: ability to develop mechatronic/robotic hardware prototypes independently (draft requirements, design, fabricate, test).
- Familiarity with IoT systems, sensing dynamic systems, and integrating sensors into mechanical hardware.
- Familiarity with measurement system theory and validation.
Responsibilities
- Own and be the subject matter expert for our product measurement chains: from the underlying physics of the electromagnetic phenomena we detect, to their translation into sensor voltage changes, to their algorithmic implementation in firmware.
- Lead the development of product requirements for physical measurements: define the performance needed to measure the meaningful electromagnetic phenomena that occur around the electrical grid.
- Select and test sensors to these requirements using methods you develop.
- Develop physical experiments and hardware-in-the loop testbeds to emulate real-world phenomena and answer scientific questions about technology performance.
- Collaborate closely with cross-functional teams, including data scientists, product development engineers, and product managers
Other
- Either an MS in electrical engineering + 3 years of industry experience, or a PhD in electrical engineering + 2 years of industry experience.
- Project leadership: can lead and deliver on complex, cross-functional problems with strict deadlines.
- Strong fundamentals in applied mathematics (linear algebra, ODEs, numerical analysis, dynamical systems).
