Job Details

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.

• 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.

• 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

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