{"schemaVersion":"jobsearcher.job.v1","id":"8924e6d4ff6cb0c937d2bfa9","url":"https://jobsearcher.com/jobs/8924e6d4ff6cb0c937d2bfa9","canonicalUrl":"https://jobsearcher.com/jobs/8924e6d4ff6cb0c937d2bfa9","title":"Senior Research Engineer, Electrical","description":"About Gridware\n\nGridware 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.\n\nRole Description\nWe are seeking a creative, hands‑on Senior Research Engineer to lead ambiguous sensing and measurement problems with real‑world impact.\n\nYou will become an expert in how our grid sensor signals behave in the real world. You will investigate sensing issues and performance via exploratory data analysis, hardware simulation, and bench debugging, design improvements, and validate improvements using test infrastructure you develop. You will define sensing requirements, develop measurement‑chain improvements, and help mature new sensing capabilities.\n\nThis position focuses on measurement performance, validation, and technology transfer rather than product design and implementation.\n\nResponsibilities\n\nDevelop measurement performance requirements. Select and evaluate new sensors for current and new sensing capabilities.\n\nRoot‑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.\n\nDesign and validate measurement chain changes to improve physical phenomena observability.\n\nDownsize on‑device data. Develop signal compression techniques, selective data storage decisions, and sampling rate reduction strategies.\n\nDevelop and own test methods to characterize and validate sensor performance.\n\nDevelop 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).\n\nMentor team members. Raise the technical rigor of experiments, analysis, and validation work.\n\nCollaborate closely with product managers, data scientists, and SW/HW/FW engineers.\n\nRequired Skills\n\nMS 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.\n\nStrong fundamentals in electromagnetics.\n\nTrack record of owning ambiguous sensing, signal‑quality, or measurement‑performance problems from framing through validation.\n\nScientific computing: comfortable writing analysis pipelines in Python, MATLAB, or equivalent to investigate and report system performance.\n\nExperience collecting high‑quality electrical measurements: have built and run custom measurement setups using standard lab instrumentation (scope/DAQ and related tools).\n\nStrong technical judgment, communication, and cross‑functional collaboration.\n\nExperience leading technically complex work with multiple stakeholders and deadlines.\n\nRelevant Depth Areas\nWe 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.\n\nSensor 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.\n\nDSP 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.\n\nCircuit simulation: have used SPICE‑class simulation (LTspice/PSpice/ngspice/Spectre or similar) to model HW and perform investigations.\n\nRoot‑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.\n\nPhysical sensing research: have researched new physical sensing capabilities using first‑principles modeling, experiments, and sensor trade studies to evaluate feasibility and performance.\n\nBonus Skills\n\nDesign and automate validation: have designed system validation plans with explicit acceptance criteria. Have built or owned repeatable test infrastructure.\n\nExperience with deployed IoT fleets (tens of thousands of devices) and developing observability for sensor performance e.g. telemetry design, health metrics, calibration drift monitoring.\n\nExperience optimizing sampling and signal processing on constrained compute devices to reduce power and storage.\n\n$185,000 - $200,000 a year\n\nThis describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!\n\nBenefits\n\nHealth, Dental & Vision (Gold and Platinum with some providers plans fully covered)\n\nPaid parental leave\n\nAlternating day off (every other Monday)\n\nOff the Grid, a two week per year paid break for all employees.\n\nCommuter allowance\n\nCompany‑paid training\n\n#J-18808-Ljbffr","company":"Gridware Technologies","rawCompany":"gridware technologies","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-17T03:31:23.705Z","occupations":[{"code":"17-2071.00","title":"Electrical Engineers","slug":"electrical-engineers"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Research Engineer, Electrical","description":"About Gridware\n\nGridware 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.\n\nRole Description\nWe are seeking a creative, hands‑on Senior Research Engineer to lead ambiguous sensing and measurement problems with real‑world impact.\n\nYou will become an expert in how our grid sensor signals behave in the real world. You will investigate sensing issues and performance via exploratory data analysis, hardware simulation, and bench debugging, design improvements, and validate improvements using test infrastructure you develop. You will define sensing requirements, develop measurement‑chain improvements, and help mature new sensing capabilities.\n\nThis position focuses on measurement performance, validation, and technology transfer rather than product design and implementation.\n\nResponsibilities\n\nDevelop measurement performance requirements. Select and evaluate new sensors for current and new sensing capabilities.\n\nRoot‑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.\n\nDesign and validate measurement chain changes to improve physical phenomena observability.\n\nDownsize on‑device data. Develop signal compression techniques, selective data storage decisions, and sampling rate reduction strategies.\n\nDevelop and own test methods to characterize and validate sensor performance.\n\nDevelop 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).\n\nMentor team members. Raise the technical rigor of experiments, analysis, and validation work.\n\nCollaborate closely with product managers, data scientists, and SW/HW/FW engineers.\n\nRequired Skills\n\nMS 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.\n\nStrong fundamentals in electromagnetics.\n\nTrack record of owning ambiguous sensing, signal‑quality, or measurement‑performance problems from framing through validation.\n\nScientific computing: comfortable writing analysis pipelines in Python, MATLAB, or equivalent to investigate and report system performance.\n\nExperience collecting high‑quality electrical measurements: have built and run custom measurement setups using standard lab instrumentation (scope/DAQ and related tools).\n\nStrong technical judgment, communication, and cross‑functional collaboration.\n\nExperience leading technically complex work with multiple stakeholders and deadlines.\n\nRelevant Depth Areas\nWe 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.\n\nSensor 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.\n\nDSP 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.\n\nCircuit simulation: have used SPICE‑class simulation (LTspice/PSpice/ngspice/Spectre or similar) to model HW and perform investigations.\n\nRoot‑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.\n\nPhysical sensing research: have researched new physical sensing capabilities using first‑principles modeling, experiments, and sensor trade studies to evaluate feasibility and performance.\n\nBonus Skills\n\nDesign and automate validation: have designed system validation plans with explicit acceptance criteria. Have built or owned repeatable test infrastructure.\n\nExperience with deployed IoT fleets (tens of thousands of devices) and developing observability for sensor performance e.g. telemetry design, health metrics, calibration drift monitoring.\n\nExperience optimizing sampling and signal processing on constrained compute devices to reduce power and storage.\n\n$185,000 - $200,000 a year\n\nThis describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!\n\nBenefits\n\nHealth, Dental & Vision (Gold and Platinum with some providers plans fully covered)\n\nPaid parental leave\n\nAlternating day off (every other Monday)\n\nOff the Grid, a two week per year paid break for all employees.\n\nCommuter allowance\n\nCompany‑paid training\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T03:31:23.705Z","dateModified":"2026-06-17T03:31:23.705Z","hiringOrganization":{"@type":"Organization","name":"Gridware Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8924e6d4ff6cb0c937d2bfa9"},"url":"https://jobsearcher.com/jobs/8924e6d4ff6cb0c937d2bfa9"}}