Senior Research Engineer, Electrical

MS in Electrical Engineering, Physics, or a closely related field plus 5+ years of relevant industry experience owning ambiguous sensing / signal-quality problems end-to-end, or PhD in one of those fields plus 2+ years of relevant industry experience.

Strong fundamentals in electromagnetics.

Track record of owning ambiguous sensing, signal-quality, or measurement-performance problems from framing through validation.

Scientific computing: comfortable writing analysis pipelines in Python, MATLAB , or equivalent to investigate and report system performance.

Experience collecting high-quality electrical measurements : have built and run custom measurement setups using standard lab instrumentation (scope/ DAQ and related tools).

Strong technical judgment, communication, and cross-functional collaboration.

Experience leading technically complex work with multiple stakeholders and deadlines.

Relevant Depth Areas

We do not expect every senior candidate to be equally deep in every area below. Strong candidates will usually bring deep experience in several of these areas.

Sensor characterization and validation: led sensor performance evaluation from characterization, through test method development. Experience developing performance requirements and testing or validating sensing systems against those requirements.

DSP in embedded systems: have applied DSP to real sensor signals in embedded systems. Competent in C/C++ (or similar low-level languages), timing, sampling, and sensor communication interfaces.

Circuit simulation : have used SPICE-class simulation (LTspice/PSpice/ngspice/Spectre or similar) to model HW and perform investigations.

Root-cause sensor signal issues : have a track record investigating and solving signal/noise issues, e.g. identifying issues through exploratory data analysis, reproducing issues in simulation and on the bench, and implementing solutions.

Physical sensing research : have researched new physical sensing capabilities using first-principles modeling, experiments, and sensor trade studies to evaluate feasibility and performance.