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SeniorFull-timePythonC++Machine LearningTensorFlowPyTorchML
Salary Range
$180,000 - $200,000 /year
About the Role
We are looking for a highly skilled Embedded Engineer to join Gridware, a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. You will work on translating advanced sensor algorithms and machine learning models into efficient, production-ready C/C++ implementations optimized for resource-constrained environments.
Key Responsibilities
- →Convert sensor algorithms and build ML inference pipelines into efficient embedded C/C++ code for microcontrollers or other constrained platforms.
- →Optimize code for memory footprint, CPU usage, and real-time performance.
- →Co-develop with algorithm/ML researchers to refine models for embedded deployment.
- →Profile runtime behavior, identify bottlenecks, and perform low-level debugging.
- →Work with firmware teams to integrate sensor algorithms/ML models into system software.
- →Develop monitoring and observability systems to track model performance, data drift, data quality, and overall system health.
Requirements
- ✓BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field.
- ✓Strong proficiency in C/C++ for embedded systems.
- ✓Ability to read/translate algorithmic descriptions in Python into low-level codes.
- ✓Experience translating and optimizing machine learning models for embedded targets (e.g., quantization, fixed-point, pruning).
- ✓Understanding basic DSP concepts (filters, FFTs, spectral processing, etc.)
- ✓2+ years of experience pushing sensor algorithm or ML models to production (C++)
- ✓Solid software engineering skills and proficiency in Python
