Gridware

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

Machine Learning 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.

Senior Software Engineer, Full Stack

Revenue Operations

• Own and optimize the full GTM tech stack.
• Evaluate, select, and implement tools to improve productivity and operational accuracy.
• Maintain data integrity and documentation for all GTM systems.
• Drive alignment across Sales, Engineering, Regulatory, Marketing, Customer Success, Field Operations, and Product.
• Establish repeatable operating cadences (QBRs, pipeline reviews, forecasting cycles).
• Act as the connective tissue between GTM and other functional groups.
• Build dashboards, reporting frameworks, and analytics.
• Define, track, and socialize GTM KPIs and operational health metrics.
• Develop board-ready reporting materials in partnership with senior GTM leadership.
• Monitor competitive landscape, regulatory trends, and utility procurement insights.
• Translate market intel into actionable recommendations.
• Equip GTM teams with strategic context for positioning.
• Own GTM documentation repositories with version control.
• Maintain SOPs, playbooks, onboarding materials, and training assets.
• Establish governance for documentation updates.

Manager, Revenue Operations

• Design, implement, and deploy advanced machine learning models operating on multi-modal and multi-resolution data
• Lead development of algorithms that improve the speed, accuracy, and reliability of Gridware’s automated hazard detection systems
• Define data strategy and labeling requirements, including real-world data collection and synthetic data generation approaches
• Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML systems
• Act as a technical leader and reviewer across Machine Learning and Data Science teams, influencing architecture and modeling decisions
• Mentor and support junior engineers and scientists through design reviews, pairing, and technical guidance
• Explore and evaluate novel modeling approaches and research ideas to address existing and emerging automation challenges

Staff Machine Learning Engineer

Research Scientist

• Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization.
• Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware.
• Conduct research and literature reviews on edge ML, resource-constrained inference, and efficient training techniques.
• Partner closely with hardware, firmware, and product teams to ensure seamless integration of models into the full system.

Senior Applied Scientist, DSP

Procurement

• Find, negotiate and manage vendors. Support broader organization in sourcing and vendor selection through data-driven analysis and market research
• Analyze company spend to identify cost-saving opportunities and efficiency improvements
• Track supplier performance, pricing trends, and contract compliance
• Build and maintain procurement dashboards, reports, and forecasts
• Partner with Finance, Operations, and Engineering to align purchasing with business needs
• Help design and improve procurement processes, policies, and tools
• Assist with contract reviews, renewals, and negotiations (as needed)
• Support ad-hoc analysis related to supply risk, demand planning, and scaling operations