Today we use ML to make data warehouses and spark jobs more efficient. We're hiring staff ML engineers to train models that can understand how much compute a job needs, how it scales to larger machines, whether a machine can run more jobs, and so on; and staff infra engineers to take those models and deploy them on real-world production systems.
We're also looking for FDEs who can help us talk to users and run pilots. This is a pretty technical role (you need to be able to do data analysis and debug in prod) that's also user-facing - it should be a good fit for a former (or future) technical founder.
If this sounds cool, please email me: alexis [at] espresso [dot] ai
AI data centers are creating a massive new wave of electricity demand, and the grid is already stretched. Strobe is building an autonomous power company to help meet that demand: software that turns buildings, batteries, EVs, and generators into a distributed power plant that can buy, sell, and dispatch electricity in real time.
We’re a 6-person, well-funded team backed by top investors. This is early, high-ownership, and very real-world: the software you build will control physical assets and move money in energy markets. We are the only company actively trading distributed power in New York - the space is entirely new and unlocked by recent FERC regulation.
I’m looking for a staff engineer to own the data integrations and cloud infrastructure that make the whole system work. That means connecting to utilities, grid operators, OEM hardware, weather providers, and our optimization engine — then making sure it all runs reliably when market events are happening and dollars are on the line.
You’d work on things like:
* Wholesale market integrations with NYISO, CAISO, ERCOT: pricing, capacity markets, dispatch signals * OEM hardware integrations for monitoring, control, and telemetry * Utility data pipelines, including Green Button Connect / ESPI, interval usage, billing, and meter data from utilities like ConEd, PG&E, and SCE * Weather forecast pipelines feeding our scheduling engine * Event-driven AWS infrastructure using Lambda, API Gateway, AppSync/GraphQL, EventBridge, IoT Core, Timestream, Amplify, and CloudWatch * Terraform IaC, observability, alerting, and the reliability work needed when downtime has real financial consequences
Good fit if you have deep AWS experience, have used Terraform seriously in production, and write a lot of Python. Energy experience is a plus, but not required. Experience with utilities, government APIs, OEMs, hardware, telemetry, or other “real world is messy” systems is very relevant.
Stack: Python, TypeScript, Rust, Terraform, AWS, GraphQL/AppSync, MQTT, Grafana. We use an AI-agent-optimized monorepo and are investing heavily in agent-enabled engineering efficiency.
Small team, no layers, high trust.
Apply: keeley@strobepower.com or https://strobepower.com/careers. Please mention Hacker News.