Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everything, and when it grinds to a halt, the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.

Our team engineers an advanced sensing system to continuously analyze both the electrical and mechanical behavior of grid assets. Utilizing high-precision sensor arrays, the system identifies and allows preemptive mitigation of faults. The technology has been proven with utilities to bolster safety, reliability, and reduce customer outage durations. 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 the Bay Area in northern California.

We’re currently looking for an experienced Applied Scientist with strong data skills to help us build tools and systems to detect electrical grid faults with data collected by our fleet of devices around the clock.

WHY do we need you?

At a pivotal moment in our growth, we've successfully deployed our innovative power grid monitoring devices across several regions, marking a significant milestone in our mission to enhance the safety and efficiency of power distribution networks worldwide. We need build intelligent systems to handle efficiently handle a rapidly increasing fleet of devices while ensuring that each potential event is fully investigated.

As an early team member of our operations team you will play a critical role in building our next generation monitoring system and developing novel detectors to identify previously unseen faults in the grid. You will provide scientific support to growing number of operational hubs in various countries as we expand beyond the United States. You will help create a integrated technical system which prevents potential disasters, ensures fleet reliability, and safeguards communities

Responsibilities:

1. Develop an advanced operations alerting system to efficiently respond to real time events on the electrical grid.
2. Leverage intelligent processing of high-frequency data across multiple sensor modalities to generate informative features for both human and machine learning models.
3. Advance research and development efforts for characterization and detection of faults on the electrical grid.
4. Expand monitoring capabilities to identify long-term risks to the electrical grid and explore new markets for safety and reliability improvement.

Ideal Candidate:

• Has an advanced degree in engineering or a physical science.
• Has a track record of delivering multiple projects using diverse and distributed sensor data to classify or detect natural phenomena.
• Has experience in preparing real-time data and tools for operations centers, such as security monitoring, weather, pipeline, wind turbine, or utility management.
• Proven experience in presenting data to diverse audiences through dashboards and user-facing software tools.

Minimal Qualifications:

• 3 years of experience in analyzing and interpreting sensor or instrumentation data within a scientific or engineering context.
• Demonstrated ownership and delivery of at least two scientific projects involving event detection or classification based on sensor data.
• Working knowledge of signal processing and time-series analysis.
• Proficiency with Python, Git, and SQL.
• Familiarity with C++ and Spark.
• Ability to work in a Linux environment.

Benefits:

• Flexible hours / hybrid schedule for those in the Bay Area
• Health, Dental & Vision (Gold and Platinum plans fully covered)
• Paid parental leave
• Commuter allowance
• Company-paid training

Gridware is an equal opportunity employer. We want applicants of diverse backgrounds and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.