Senior Systems Engineer, Sensors
Key Skills for This Role
Full Job Posting
Responsibilities
- Develop measurement performance requirements. Select and evaluate new sensors for current and new sensing capabilities.
- Root-cause sensor signal issues from fleet to bench: use fleet telemetry (time-series + metadata) to isolate cohorts and failure signatures, test hypotheses via circuit simulation and benchtop reproduction, drive fixes design solutions, and partner with HW and FW engineering to implement them.
- Design and validate measurement chain changes to improve physical phenomena observability.
- Downsize on-device data. Develop signal compression techniques, selective data storage decisions, and sampling rate reduction strategies.
- Develop and own test methods to characterize and validate sensor performance.
- Develop hardware-in-the-loop test infrastructure to reproduce the real-world physical phenomena Gridware technology detects. Run hardware-in-the-loop tests to validate changes to our tech stack (HW, phenomena detection algorithms).
- Mentor team members. Raise the technical rigor of experiments, analysis, and validation work.
- Collaborate closely with product managers, data scientists, and SW/HW/FW engineers.
Required Skills
MS in Electrical Engineering, Physics, or a related field with 4+ years of relevant industry experience, or PhD with 1+ year of relevant industry experience.
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.
Strong fundamentals in electromagnetics.
Relevant Depth Areas
Sensing & measurement: Sensor characterization, performance requirements, signal/noise investigation, test development, and validation of sensing systems.
Signal processing & embedded systems: DSP on real-world sensor signals, including sampling, filtering, compression, and embedded implementation.
Modeling & experimentation: First-principles modeling, circuit simulation (SPICE or similar), and hands-on experiments to understand physical phenomena and improve sensing performance.
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.
About Gridware
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Gridware
Senior Software Engineer, Field Software
San Francisco, USA
Senior Software Engineer, Grid Communications
Los Altos, USA
Gridware is seeking a Senior Software Engineer to build and operate distributed software for communicating with a fleet of electrical-grid devices. Applicants need 5+ years developing cloud-native, event-driven systems w
Design Researcher, Geospatial & Utility Operations
San Francisco, USA
Program Manager, Business Operations
San Francisco, USA
Field Operations Technician (Seasonal)
Houston, USA
Senior Software Engineer, Field Software
San Francisco, USA
Senior Software Engineer, Grid Communications
Los Altos, USA
Design Researcher, Geospatial & Utility Operations
San Francisco, USA
Customer Success Manager
, USA
Senior ML Infrastructure Engineer
San Francisco, USA
Senior Applied ML Scientist, ML DSP
San Francisco, USA