Senior Experimental Research Engineer, Electromagnetics

Quality Control Specialist - Pest Control; San Francisco (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

A technology company in San Francisco is seeking a researcher in sensing technologies to join their Physical R&D team. This role focuses on leading early-stage research with an emphasis on iterative experimentation and novel measurement methods, mainly in power electronics. Candidates should have extensive experience in experimental methods and a strong background in electromagnetics.

Qualifications

• 4+ years developing experimental methods and executing physical experiments.
• 4+ years quantitative modeling in MATLAB or Python.
• Experience with kW-level power electronics.

Responsibilities

• Lead early-stage cross-functional research projects.
• Conduct experiments to invent measurement technology.
• Write code for analyzing experimental results.

Skills

Electromagnetics

Quantitative Modeling

Experimental Methods

Scientific Computing

Education

Degree in Physics

Degree in Electrical Engineering

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

About the Role
We are seeking a creative, fast-paced experimentalist to join our growing Physical R&D team. You will be responsible for leading early-stage research of novel sensing technologies to expand our product offerings. The ideal candidate will be an expert in electromagnetic theory, experimental design, and hands-on development of novel experimental methods involving kW-level power electronics.

This is not a product development role. All project work is focused on early-stage research to de-risk potential, future products. The work focuses on iterative physical experimentation to discover novel technology.

Responsibilities

• Lead early-stage cross-functional research projects to expand Gridware’s product offerings.
• Independently conduct experiments to invent measurement technology. Build your experimental infrastructure, including measurement equipment implementation, hardware prototypes, and novel methods to emulate the physical phenomena you're trying to measure.
• Write clean code to analyze experimental results, perform exploratory data analysis, and model physical phenomena.
• Conduct literature reviews and research on novel sensing technology.
• Work closely with cross-functional teams, including data scientists, product development engineers, and product managers.
• Serve as the physics SME for high power, electromagnetic systems

Required Skills

• 4+ years of developing novel experimental methods and executing physical experiments to answer research questions. Note: this does not include evaluating PCB performance using standard EE benchtop test methods.
• 4+ years of quantitative modeling and analysis experience in a scientific computing language like MATLAB or Python.
• 4+ years of experience with kW-level power electronics.
• Experience using data acquisition systems to acquire time-series measurements of dynamical systems.
• Strong fundamentals in Electromagnetics (E&M).

Bonus Skills

• Project leadership: can lead and deliver on complex, abstract, cross-functional problems with strict deadlines.
• Hands-on experience with high power AC/DC-AC/DC converters, custom magnetics, ionizing voltages, and breakdown dielectrics.
• Strong fundamentals in applied mathematics (linear algebra, ODEs, PDEs, numerical analysis, dynamical systems).

This role is most relevant to people with degrees in

• Physics
• Electrical Engineering