About the Company/Team

About EQORE EQORE is building the future of commercial and industrial energy storage. We provide full-service, intelligent energy storage systems designed to deliver superior ROI, minimizing electricity costs without disrupting operations. By streamlining the process from design through ongoing optimization and focusing on profitability, we address common industry hurdles and empower businesses with unprecedented savings. Our goal is to establish and manage a large network of distributed batteries on the grid, operating both behind the meter to serve individual customer needs and in front of the meter as a Virtual Power Plant. We aim to unlock the highest value from these assets, maximizing economic and grid-stability benefits, enabling the rapid and large scale deployment of energy storage. Our investors include the Massachusetts Clean Energy Center as well as high-visibility angels, and we are actively supported by a variety of entrepreneurial organizations at MIT and beyond. About the Team We are led by three founders with diverse and deep technical backgrounds. Their experience spans cutting-edge engineering roles at companies like Tesla, Apple, and CapitalOne, coupled with 10 years of combined entrepreneurial and execution expertise in project management and construction. We are a high-energy group passionate about tackling complex problems in the energy sector. In our lean team, every member plays a critical role and has a direct, outsized impact on our success and direction. We thrive on intensity, rapid iteration, and solving hard challenges together.

About the Role

Job Description We are looking for a hands-on, entrepreneurial software engineer to help build the technical backbone of EQORE. As an early founding hire, you will design, implement, and operate the software, data, and field systems that power our distributed energy storage deployments—from edge controllers to internal tools to optimization models that drive revenue. This is a unique opportunity to step into a high-impact role where you will: * Own core operational software across the stack: embedded/edge control on Raspberry Pi, cloud services, and internal tools. * Stand up reliable tooling and processes that let EQORE deploy, monitor, and scale battery systems efficiently. * Prototype and productionize optimization models that unlock peak shaving, ISO incentives, and new revenue streams. * Partner directly with founders to translate business needs into robust, data-driven systems. We’re looking for someone who thrives in ambiguity, loves shipping, and is motivated by the chance to accelerate the transition to clean energy.

Requirements * Strong software engineering experience with Python in production environments. * Experience building services or applications end to end (APIs, data models, testing, CI/CD). * Comfort working close to hardware or edge computing (e.g., Raspberry Pi, Linux, device provisioning, networking). * Proficiency with data engineering for time-series data and operational analytics. * Familiarity with optimization modeling (e.g., LP/MILP using Pyomo, OR-Tools, or similar) and translating models into services. * Practical approach to reliability: instrumentation, monitoring, and debugging distributed systems. * Clear written and verbal communication; ability to create documentation and operational runbooks. * Entrepreneurial mindset: bias to action, ability to wear multiple hats, and willingness to own problems end to end. Further desirable qualifications include: * Experience with energy systems, battery storage, building controls, or DER aggregation. * Exposure to ISO/RTO programs, tariff structures, demand charges, or grid services markets. * Frontend experience (React/TypeScript) for internal dashboards and operator tools. * Cloud and DevOps skills (Docker, Kubernetes or containers on a lightweight stack, IaC, CI/CD, secret management). * Edge fleet management experience (OTA updates, device security, remote diagnostics). * Background in controls, forecasting, or reinforcement learning for operational decision-making. * Prior work at an early-stage startup or in a rapidly scaling environment.