Ask HN: Who is hiring? (June 2026)

Laminar Engineering builds real-time computer vision systems for airborne detection and tracking of drones, combining multispectral sensing and edge inference. We’re delivering this for a client, and we’re looking for a versatile engineer to join the R&D effort. This is a role for someone who thrives with autonomy when given a clear end state. More details to be shared with the right candidates.

The role spans the whole pipeline, from data to deployed system: CV/ML on NVIDIA edge devices (Jetson / TensorRT / DeepStream), real-time video processing and multi-object tracking, camera/gimbal control, dataset collection and curation, model training and evaluation, backend infrastructure and APIs, and operator-facing dashboards. You’d own deployed vision systems end to end, including diagnosing and fixing real-world failures in live video.

Strong fit: applied CV and perception, including tracking, real-time pipelines, and NVIDIA edge deployment, plus strong Python and comfort across the stack. Relevant experience: PyTorch, TensorRT/ONNX, DeepStream/GStreamer, embedded Linux, and frontend work for operator tooling.

Remote contract, flexible hours, some overlap with UTC-05 preferred.

Email hiring@laminr.co and mention HN.

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.

Lysk is a European defence startup, based between Paris and Warsaw. Our mission is to create modern software tailored for hostile environments. Our customers include European military and police units. We are in stealth but have already been recognised as one of France’s top 20 seed companies. Backed by Project A, Europe’s leading defence VC, and angels including the founders of Cloudflare, Quantum Systems, and ElevenLabs. We’re assembling a world-class team at the intersection of modern software and defence. We do not work on weapons systems or hardware products.

Currently we're looking for:

- Junior LLM engineer (gguf, on-prem models, llm validation and pipelines)

- Junior Voice AI engineer (we need customised STT models)

- Senior GEO-AI engineer (interpreation of speech-based geographical information)