Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everyone and makes our modern economy possible. But it’s also fragile. When the grid is compromised, everything grinds to a halt, and the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.
Our team builds smart sensors that help utility companies to immediately detect, find, and fix outages and take steps to prevent new outages, and other related disasters, from happening at all. The need for power will only increase. We protect the grid of today while we build the grid of tomorrow.
Gridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in the Bay Area in northern California.
About Gridware
Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everything and the consequences can be dire when it fails: wildfires burn, land is destroyed, property is damaged, and lives are lost.
Our team created an advanced sensing system to continuously analyze critical grid behavior. Utilizing high-precision sensor arrays and intelligence, our system identifies and preemptively mitigates faults. The technology has been proven with utilities to bolster safety, enhance reliability, and reduce outages. The demand for power will only increase. We protect the grid of today while we build the grid of tomorrow.
Gridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in San Francisco, California.
Role Description:
The Senior Applied Scientist specializing in ML DSP (Machine Learning with Digital Signal Processing) is responsible for evaluating and developing models for multimodal time series sensor data on heavily resource-constrained computation systems. The ideal candidate will possess deep knowledge of machine learning architectures, digital signal processing techniques, and algorithm design.
This 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!
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
Paid parental leave
Alternating day off (every other Monday)
“Off the Grid”, a two week per year paid break for all employees.
Commuter allowance
Company-paid training
Responsibilities
The Senior Applied Scientist will, as a starting point, be responsible for the following: Execute end-to-end ML projects including exploratory data analysis, feature engineering and model training / evaluation. Implement DSP pipeline and machine learning model in firmware (low-level language) Conduct literature reviews and research on resource-constrained inference and training techniques. Work closely with cross-functional teams, including hardware engineers, firmware engineers, and product managers. Required Skills
Computer Science or Electrical Engineering degree (MS or PhD) 4+ years of professional experience with production machine learning models 4+ years of research experience Strong fundamentals in C/C++ and memory management Expert in porting a machine learning model (TensorFlowLite) to C/C++ (TFLM) Experience with physical sensors and time series data modeling