Senior Embedded Machine Learning Engineer
GridwareSan Francisco, CAPosted 21 February 2026
Tech Stack
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.
Role Description
We are looking for a highly skilled Embedded Engineer who can translate advanced sensor algorithms and machine learning models into efficient, production-ready C/C++ implementations optimized for extremely resource-constrained environments. You will work closely with ML scientists and firmware teams to bring cutting-edge signal processing capabilities and ML models onto embedded platforms with strict memory, computing and power budgets.
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