Gridware

Machine Learning Engineer

• Develop algorithms that improve the speed, accuracy, and reliability of Gridware’s automated hazard detection systems
• Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics.
• Design models that are robust, interpretable, and deployable in production environments.
• Live in the data; help curate & share strategic & well-defined datasets that help solve our highest-value challenges
• Explore advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals
• Write clean, scalable, well-tested Python code that integrates into a large shared codebase.
• Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment.
• Optimize models for performance, reliability, and real-world constraints.
• Collaborate on infrastructure for model monitoring, validation, and continuous improvement.
• Translate complex analyses into clear insights for engineers, operators, and leadership.
• Frame solutions to ambiguous, open-ended problems to achieve buy-in from various stakeholders by focusing on the business impact of your projects
• Communicate uncertainty, tradeoffs, and model behavior effectively.
• Partner cross-functionally with software, data engineering, product, and event-reporting teams.
• Help shape technical direction and best practices for ML at Gridware. This includes exemplifying standards for experiment tracking, model versioning, reproducibility, and lifecycle management.

Senior ML Engineer, Multi-Sensor Modeling

Data Scientist

• Build and productionize forecasting models to predict weather-driven grid events, hazard incidence, and downstream operational workload.
• Develop demand forecasts for analyst staffing, incorporating weather signals, seasonality, geographic deployment footprint, and historical event patterns.
• Quantify relationships between environmental factors (e.g., wind, precipitation, temperature, vegetation conditions) and hazard/event types across service territories.
• Design end-to-end modeling pipelines, including data ingestion, feature engineering, model validation, deployment, and monitoring.
• Establish model performance tracking, drift detection, and retraining strategies to ensure reliability in dynamic conditions.
• Translate model outputs and uncertainty into clear, actionable recommendations for operational leadership.

Data Scientist, Forecasting

Security Operations

• Lead and support security incident response, including triage, investigation, containment, and post-incident reviews.
• Analyze and tune EDR, SIEM, and network telemetry alerts to separate false positives from real threats.
• Configure and optimize detection tools, including correlation rules, detection logic, and response playbooks.
• Implement and maintain identity and access controls, ensuring least-privilege and conditional access standards.
• Automate recurring SecOps workflows through scripting and integrations across monitoring and response tools.

Senior Security Engineer, SecOps

SDET

• Implement and support automated and manual test systems for high-volume manufacturing environments.
• Provide day-to-day production test support to ensure stable, repeatable, and efficient operations.
• Own test system implementation, fixture development, and test readiness activities for assigned programs.
• Maintain and continuously improve test procedures, fixtures, and equipment.
• Ensure test systems comply with safety, quality, and regulatory standards.
• Analyze production test data to identify trends, systemic issues, and improvement opportunities.
• Develop and implement incremental improvements to increase throughput, reduce cycle time, and improve yield.
• Own SPC dashboards, monitoring, and reporting for production test metrics.
• Validate data integrity and logging within manufacturing test databases.
• Support KPI and OKR reporting through structured data analysis and clear communication of results.
• Troubleshoot test failures and differentiate between product-related and test-system-related issues.
• Lead root cause investigations for recurring or high-impact production issues.
• Support hardware and firmware regression testing and assist in debugging failures during release cycles.
• Minimize production downtime through timely issue resolution and structured problem-solving.
• Ensure test procedures align with product specifications and defined quality standards.
• Own test coverage documentation and maintain clear visibility into test gaps and limitations.
• Support audits and continuous improvement initiatives related to manufacturing test coverage.
• Contribute to Design for Testability (DFT) efforts in collaboration with hardware and firmware engineering teams.
• Partner closely with hardware, firmware, and systems engineering teams to support manufacturing readiness.
• Work with contract manufacturers and production teams to deploy, train, and sustain test systems.
• Coordinate with quality and operations teams to ensure alignment on yield, reliability, and performance goals.
• Provide clear technical communication across cross-functional teams.

Manufacturing Test Engineer

DevOps Engineer

• Develop and implement reliability test plans and protocols for PCBAs and electronic assemblies
• Partner with hardware, firmware and manufacturing engineers to establish and refine component and system level reliability targets for our electronics and battery systems
• Drive Design Failure Modes and Effects Analyses (DFMEA) for various systems to capture performance risks and implement appropriate mitigation activities
• Partner with Sales and Product to develop lifetime reliability and warranty targets
• Create holistic models of product lifetimes and common failure modes using field data, field failure analysis, and accelerated life testing
• Monitor field performance and identify statistical trends in failure

Senior Hardware Reliability Engineer

Operations

• Lead, train, and manage Field Operations Specialists performing Gridscope installations
• Set daily/weekly field priorities and ensure work is executed safely and efficiently
• Conduct ride-alongs, on-site coaching, and performance feedback
• Serve as the primary point of escalation for field issues
• Oversee and participate, as needed, in Gridscope installations
• Ensure installations meet Gridware quality standards
• Review and validate field specialist installations to ensure collected data is without error
• Coordinate access and schedules with internal project managers and utility partners
• Own field workflows, documentation, and standard operating procedures (SOPs)
• Track installation progress, field metrics, and operational KPIs
• Identify inefficiencies and continuously improve field processes
• Partner closely with Engineering, Product, and Customer Success to provide field insights and learnings
• Provide structured feedback from the field to improve product design and deployment processes
• Support pilot programs, new product rollouts, and process scaling efforts
• Enforce safety policies and best practices
• Submit incident reports when necessary
• Lead safety briefings and trainings as needed

Field Operations Supervisor

Payroll

• Process bi-weekly/monthly payroll accurately and on time, maintaining records for earnings, deductions, taxes, and benefits.
• Ensure compliance with federal, state, and local payroll regulations, including support for year-end processes (W-2s and required filings).
• Partner with HR and internal stakeholders on new hires, terminations, compensation updates, and benefits deductions, resolving payroll discrepancies as needed.
• Manage accounts payable operations, including vendor invoices, employee expense reimbursements, and payment processing (ACH, check, wire).
• Maintain accurate vendor records, reconcile AP subledger to the general ledger, and support month-end close, audits, and reporting.

Payroll, Accounts Payable Specialist

• Responsible for executing on-site installations, maintenance, and support of sensing systems.
• Work closely with utility partners and troubleshoot technical issues.
• Ensure high-quality installations that meet safety and performance standards.
• Planning and overseeing installation of devices on electric poles in remote areas.
• Working with line crews to provide instructions and supervision during installation process.
• Acting as liaison between Gridware and utility companies, local authorities, and community members.
• Utilize internal tools to maintain accurate records of installation activities.

Field Operations Technician

Supply Chain

• Own and manage all logistics processes, including shipments from contract manufacturers to utility customers, and internal shipment requests.
• Analyze logistics processes and recommend improvements to logistics workflows, shipping methods, and carrier strategies to support scale.
• Manage inventory tracking for components and finished devices across manufacturers, warehouses, and customer destinations.
• Partner with Accounts Payable and Finance to support monthly inventory reporting, reconciliations, and accounting processes.
• Support production planning activities, including aligning inventory availability with build schedules and customer demand.
• Support the implementation and operation of Gridware’s ERP system, and own inventory tracking and data accuracy within that system.
• Own and scale the return (RMA) and reverse logistics process, including handling field returns, coordinating with contract manufacturers, and improving existing workflows to support higher volumes and traceability.
• Create and maintain clear documentation and reporting to provide visibility into inventory levels and logistics performance.

Logistics & Inventory Manager

• Administer, monitor, and optimize relational databases (PostgreSQL, Amazon RDS) for performance, availability, and security.
• Troubleshoot complex database and infrastructure issues, including query performance, replication, schema evolution, and event streaming pipelines.
• Maintain and support Kafka infrastructure for company-wide streaming pipelines and integration with databases.
• Implement backup, restore, and disaster recovery strategies for databases and streaming platforms.
• Collaborate with DevOps and Data Engineering teams to maintain CI/CD pipelines for schema, data, and infrastructure changes.
• Enforce database and infrastructure best practices, standards, and security policies.
• Proactively monitor health and performance of databases, streaming pipelines, and cloud infrastructure using Grafana, Prometheus, or equivalent.
• Contribute to Infrastructure as Code (Terraform, Ansible) for database, Kafka, and cloud infrastructure provisioning and management.
• Support internal teams during incidents or urgent troubleshooting, balancing reliability with rapid deployment needs.

Senior Database Reliability Engineer

• 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.

Senior Embedded Machine Learning Engineer

Engineering Manager

• Lead, support, and grow a team of software engineers building products that help utilities detect, prevent, and respond to grid failures
• Establish and maintain a high technical bar through active participation in code reviews, design reviews, and architectural discussions
• Translate business and customer needs into clear technical direction, driving execution toward outcomes with real-world impact
• Champion agile best practices, ensuring teams plan effectively, deliver predictably, and continuously improve
• Invest deeply in people development by coaching engineers, building feedback loops, and developing future technical and people leaders

Software Engineering Manager

Product Manager

• Owns the strategy, implementation, and ongoing evolution of ERP and manufacturing systems
• Acts as the connective layer between manufacturing operations, enterprise software, and data engineering teams
• Ensures that systems are designed as scalable, productized platforms rather than one-off implementations

Senior Product Manager, Manufacturing Systems

Full-stack Engineer

• Design and build systems for device management, fleet monitoring, and firmware deployment.
• Develop backend and internal tooling to support large-scale operational workflows.
• Collaborate closely with firmware, hardware, and operations teams to ensure seamless integration and real-time observability.
• Implement metrics, dashboards, and alerting pipelines to improve visibility into fleet health and reliability.
• Scale systems to support exponential device growth while maintaining performance and security.