Research Engineer, Electrical
Team: R&D
Location: San Francisco, CA
Commitment: Full-Time
Workplace Type: hybrid
Role Description
Responsibilities
- Contribute to the development of measurement performance requirements. Evaluate new sensors for current and new sensing capabilities.
- Design and execute benchtop and full-scale experiments to characterize sensor and system performance.
- Support investigations from fleet observations through exploratory data analysis of fleet telemetry, bench reproduction, simulation, and test execution. Investigate signal behavior and communicate findings.
- Contribute to research of new sensing capabilities.
- Help develop validation methods and implementation-ready technical recommendations.
- Collaborate closely with product managers, data scientists, and SW/HW/FW engineers.
Required Skills
- MS in Electrical Engineering, Physics, or a closely related field and 2+ years of relevant industry experience.
- Strong fundamentals in electromagnetics, signal processing, or circuits.
- Hands-on experience contributing to physical experiments, measurement setups, hardware validation, or bench investigations.
- Scientific computing: comfortable writing analysis pipelines in Python, MATLAB, or equivalent.
- Experience collecting high-quality electrical measurements: have built and run custom measurement setups using standard lab instrumentation (scope/DAQ and related tools).
- Clear technical communication and documentation skills.
- Comfortable working on ambiguous technical problems and learning new domains quickly.
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Sensor characterization and validation: sensor performance evaluation from characterization, through test method development. Experience developing performance requirements and testing or validating sensing systems against those requirements.
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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.
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Circuit simulation: have used SPICE-class simulation (LTspice/PSpice/ngspice/Spectre or similar) to model HW and perform investigations.
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Root-cause sensor signal issues: have investigated and solved signal/noise issues, e.g. identifying issues through exploratory data analysis, reproducing issues in simulation and on the bench, and implementing solutions.
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Physical sensing research: have researched new physical sensing capabilities using first-principles modeling, experiments, and sensor trade studies to evaluate feasibility and performance.
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Relevant Depth Areas
You do not need to match every area below. Strong candidates will usually bring depth in one or two of these areas.
Bonus Skills
- Design and automate validation: have designed system validation plans with explicit acceptance criteria. Have built or owned repeatable test infrastructure.
- Experience with deployed IoT fleets (tens of thousands of devices) and developing “observability for sensor performance” e.g. telemetry design, health metrics, calibration drift monitoring.
- Experience optimizing sampling and signal processing on constrained compute devices to reduce power and storage.
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