CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant.
Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day.
This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments.
Role Overview
As a Principal Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms.
This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows.
You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability.
Why This Role Matters
This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure . Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries.
If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.
Professional Qualifications
Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, AWS, and GitHub-based CI/CD workflows.
A strong candidate will:
• Show how they have left their fingerprint on your corner of the industry, ambitious to do it again
• Have a decade or more of experience building and operating production backend systems
• Have built and maintained multiple generations of distributed systems
• Be tracking the latest developments in agentic system design, ready to grow a leading edge system of their own