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Remote Power Distribution Engineer Jobs in Kansas

Overstory

This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from ... Experience in remote-first or globally distributed teams Note: We believe that all people are ...

StackAdapt

StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the ... distributed environment.

MaintainX

$150/day

... distributed engineering org aligned and shipping. * Surface cross-team risks early, provide ... Experience shipping AI/ML-powered products or working with foundation models. * Experience scaling ...

Luxus

Senior Electrical Relay Engineer

Overland Park, KS · On-site +1

$125K - $185K/yr

Electrical Relay Engineer - Power Generation & Substation Systems Company Name: LDB, Inc. Location ... Power Generation, Substations, Transmission & Distribution (T&D), and Industrial Power Systems Work ...

Luxus

Senior Electrical Relay Engineer

Shawnee, KS · On-site +1

$125K - $185K/yr

Electrical Relay Engineer - Power Generation & Substation Systems Company Name: LDB, Inc. Location ... Power Generation, Substations, Transmission & Distribution (T&D), and Industrial Power Systems Work ...

CrowdStrike

We work on large scale distributed systems, processing almost 3 trillion events per day and this ... that powers our next generation of AI-driven security products. This role requires significant ...

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Remote Power Distribution Engineer information

What does a Remote Power Distribution Engineer do?

A Remote Power Distribution Engineer is responsible for designing, analyzing, and maintaining electrical power distribution systems, often from a remote location. They use specialized software and tools to monitor power grids, troubleshoot issues, and optimize the distribution of electricity to ensure reliability and efficiency. Their work may involve collaborating with field teams, planning system upgrades, and ensuring compliance with safety and regulatory standards. Remote work allows them to manage projects and resolve problems without needing to be physically present at power distribution sites.

What are the key skills and qualifications needed to thrive as a Remote Power Distribution Engineer, and why are they important?

To thrive as a Remote Power Distribution Engineer, you need a solid background in electrical engineering, power systems analysis, and a relevant engineering degree with licensure such as a Professional Engineer (PE) certification. Familiarity with software like AutoCAD, SCADA systems, and power flow analysis tools is typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate remotely are vital soft skills for this role. These competencies enable engineers to ensure safe, efficient, and reliable power distribution while coordinating with dispersed teams and stakeholders.

What are some common challenges faced by Remote Power Distribution Engineers, and how can they be effectively managed?

Remote Power Distribution Engineers often encounter challenges such as coordinating with on-site teams across different locations, troubleshooting issues without being physically present, and ensuring reliable communication with stakeholders. Effective management of these challenges involves leveraging advanced remote monitoring tools, maintaining clear communication protocols, and staying updated on the latest industry standards. Building strong relationships with field personnel and participating in regular virtual meetings can also help bridge the gap and ensure smooth project execution.
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Remote Power Distribution Engineer jobs near you

Staff Machine Learning Engineer - Wildfire

Overstory

On-site, Remote

Other

Posted 25 days ago

Job description

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You'll help shape the next generation of Overstory's modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You'll Do

In collaboration with data, ML, and science colleagues, you will:

  • Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
  • Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
  • Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
  • Build reproducible experimentation frameworks and model evaluation workflows.
  • Scale models from research to production with a focus on performance, reliability, and explainability.
  • Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
  • Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
Skills & Experience
  • Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
  • 10+ years of experience designing and building production-grade ML pipelines and systems 
  • Strong background in deep learning, computer vision, or remote sensing
  • Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring
  • Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
  • Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
  • Strong communication skills and ability to collaborate across technical and scientific domains
  • Comfortable leading architectural discussions and mentoring other engineers
Nice To Have
  • Background in wildfire science, forestry, or remote sensing
  • Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
  • Experience in model interpretability and data provenance for environmental ML systems
  • Experience with deep learning models for weather or climate data
  • Experience in remote-first or globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, coworking and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply