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Added 3 mins ago
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Added 3 mins ago
Inside Presales Systems Engineer
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Remote, United States
- $150,000 to $175,000 USD / year
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Added 33 mins ago
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Added 33 mins ago
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Remote, United States
- $125,000 to $150,000 USD / year
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CVector - Industrial AI

Principal Software Engineer - Full Stack

Remote, United States

$150,000 to $175,000 USD / year

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Job details

Pay: $150,000 to $175,000 USD / year
Posting language: English
Posted: Sep 30, 2026

Original job description

CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Twice reported by TechCrunch. 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 can be either hybrid or remote. If you are based in NYC, you can work from our New York City office with a fully flexible in-person schedule. If you are based in anywhere else in the US, you will be working with a hybrid team. This position expects traveling 10-15% of the time per month to customer sites. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Principal Full Stack Software Engineer, you will own the technical direction of CVector’s customer-facing platform end to end - from the real-time data visualization and AI-driven insight experiences our operators rely on, through the application services, data pipelines, and industrial gateways that feed them. Our software runs in power generation facilities, chemical plants, and ethanol plants, where the interface is often the only window an operator has into what the model is predicting and why. This role is for an engineer who has already shaped a product or platform that others in the industry recognize, and who wants to do it again at the frontier of AI-driven industrial operations. You will set architectural standards across the stack, make the calls that determine how the platform scales to dozens of plants and hundreds of concurrent data streams, and decide where the boundaries between front end, back end, and edge should sit. You will be the engineer the rest of the team looks to when the hardest cross-cutting problems land. You will collaborate closely with product, design, modeling, and backend engineers, and you will have significant influence over product direction, platform architecture, engineering practice, and the growth of the team.

Responsibilities

As a Principal Full Stack Software Engineer, you will:

Own the architecture and long-term evolution of the full stack: web applications, application services, real-time data flows, and the contracts between them
Lead the design of a real-time data visualization and AI insight platform that makes complex plant economics legible to operators and executives at a glance
Drive major technical initiatives and migrations from proposal through delivery, including sequencing, risk management, and getting the organization aligned
Set the bar for engineering quality across the stack - testing strategy, observability, performance, and security - and build the tooling and practices that keep it there as the team grows
Translate ambiguous customer and product needs into clear technical strategy, and push back when the simpler product answer beats the clever technical one
Mentor senior and junior engineers, lead design reviews, and raise the judgment of the whole team rather than just its throughput
Participate in an on-call rotation and take point on the hardest production incidents, turning each one into durable platform improvements
Travel to customer sites to understand firsthand how operators use the system under real-world constraints, and bring that understanding back into the platform

Why This Role Matters This role sits at the intersection of real-time data, AI prediction, and the people who run physical plants. The quality of the platform you build determines whether operators trust what the model tells them, whether customers see the value fast enough to expand, and whether CVector can scale intelligent operations across industries without the platform becoming the bottleneck. If you enjoy owning a product-critical system end to end, shaping the foundations other engineers build on, and seeing your work change how real facilities run, this role offers both technical challenge and real-world impact.

Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, PostgreSQL, and AWS, with development workflows managed through GitHub.

A strong candidate will:

Show how they have left their fingerprint on their corner of the industry, ambitious to do it again
Have a decade or more of experience building and operating production software across front end, back end, and data layers, with deep expertise in Python and/or TypeScript
Have designed and shipped multiple generations of a modern web application at scale, including the hard parts: complex UI state, real-time data, and performance under load
Have strong architectural judgment for cloud infrastructure, databases, and event-driven or real-time systems, and a track record of making decisions that aged well
Bring demonstrated experience with data visualization, dashboards, or analytical interfaces where clarity and trust are the product
Be tracking the latest developments in AI-assisted development and agentic systems, and have opinions about how they should change the way software is built and shipped
Communicate clearly in writing and in person, and be able to carry an architectural argument with engineers, product, and customers alike
Be comfortable with the ownership, pace, and evolving requirements of an early-stage company
Be willing to travel occasionally, both domestically and internationally

CVector provides team members with:

A competitive compensation package with meaningful equity upside
A robust selection of health, dental, and vision insurance options
Optional Health Flexible Spending Account (FSA)
Unlimited PTO with a three week minimum per year, plus additional sick days
Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack
Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better
Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable

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