Build the intelligence layer for the AI era.
Work on systems where latency, data quality, and correctness are inseparable.
Nuclir resolves silicon, energy, climate, logistics and quantum into one real-time intelligence layer. The work is building the systems that keep it current: ingestion, resolution, evaluation, and regional delivery. Every role owns a defined production surface end to end.
The principles behind every hire.
Production evidence
Work is judged by measurable behavior in production: latency, correctness, freshness, and recovery.
End-to-end ownership
Each engineer owns design, implementation, operation, and observability across a defined production surface.
Technical depth
The work spans distributed event listening, low-latency machine learning, point-in-time data, and regional delivery.
Direct collaboration
Research, data engineering, machine learning, and infrastructure make decisions together because latency and correctness cross every boundary.
Distributed team, deliberate coordination.
Work is organized for sustained technical focus, with direct coordination when a decision crosses research, data engineering, machine learning, or infrastructure.
Built for sustained, high-quality work.
Remote-first
Remote roles supported by asynchronous documentation and scheduled coordination across time zones.
Equity ownership
Early-stage equity with a transparent ownership philosophy.
Health coverage
Medical, dental, and vision coverage for you and your dependents.
Home-office budget
Dedicated support for a reliable, ergonomic remote workspace.
Learning stipend
Dedicated support for conferences, courses, books, and technical training.
Flexible time off
Flexible PTO with a minimum we enforce, plus parental leave.
Open roles
Every role is remote-first and carries end-to-end production ownership across a defined part of the network.
Don't see the right fit? Contact us with the systems or research problems you want to own.
Evidence that keeps pace with the decision.
Evaluate Nuclir against the systems, markets, and decisions that matter to your organization. The result is current intelligence with the context needed to use it responsibly.