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 OverviewAs a Full Stack Software Engineer, you will improve and expand CVector's web applications, back-end data-flow, and industrial gateways. Your work will deliver robust, intuitive user experiences, including real-time data visualization, adaptable to diverse environments such as power generation stations and chemical plants. This role requires a passion for shipping high-quality, user-centered products. You should possess a startup mentality, meaning the ability to rapidly acquire new skills and comfortably contribute across the entire software stack. You will collaborate closely with the engineering team and have opportunities to take initiative and leadership in various projects.You will work in AI-native setup with high limit of tokens and subscriptions to all major model providers to experiment and optimize.ResponsibilitiesAs a Full Stack Software Engineer, you will drive CVector's SaaS product forward by fulfilling the following responsibilities:Collaborate with the engineering team to design, implement, and deploy features and bug fixes across the full software stackDevelop real-time data visualization tools and dashboard builderEnsure high quality through the development and maintenance of automated unit, integration, and end-to-end testsParticipate in an on-call rotation to support system reliabilityActively pursue opportunities for professional growth and skill enhancementTravel occasionally to customer sites to directly understand user needs and challengesRequirementsOur software stack includes Python, Typescript, React, MQTT, Figma, PostgreSQL, hosted on AWS and managed with GitHub. You will use and develop expertise with these technologies. The successful candidate for Full Stack Software Engineer will possess the following traits and qualifications:Relevant engineering degree(s) or equivalent professional experience demonstrating a strong foundation in computer scienceExperience developing software with Python and/or TypescriptExperience with agent-driven development workflows. Past projects developing custom harness greatly preferred.Familiarity with modern web frameworks, databases, cloud infrastructure, and real-time data visualization librariesStrong communication and collaboration skillsFlexibility and willingness to travel domestically and internationallyBenefitsCVector provides team members with:A competitive compensation package with meaningful equity upsideA robust selection of health, dental, and vision insurance optionsOptional Health Flexible Spending Account (FSA)Unlimited PTO with a three week minimum per year, plus additional sick daysTop of the line work equipment and IT setup, including high performance laptops and a modern developer stackUnlimited access to the latest AI agent systems and productivity tools to help you move faster and build betterVisa support for candidates currently based in the US, including employer sponsored visa applications where applicableThe anticipated base salary range for this role is $105,000 to $115,000.
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 Full Stack Software Engineer, you will improve and expand CVector's web applications, back-end data-flow, and industrial gateways. Your work will deliver robust, intuitive user experiences, including real-time data visualization, adaptable to diverse environments such as power generation stations and chemical plants. This role requires a passion for shipping high-quality, user-centered products. You should possess a startup mentality, meaning the ability to rapidly acquire new skills and comfortably contribute across the entire software stack. You will collaborate closely with the engineering team and have opportunities to take initiative and leadership in various projects.
You will work in AI-native setup with high limit of tokens and subscriptions to all major model providers to experiment and optimize.
Responsibilities
As a Full Stack Software Engineer, you will drive CVector's SaaS product forward by fulfilling the following responsibilities:
- Collaborate with the engineering team to design, implement, and deploy features and bug fixes across the full software stack
- Develop real-time data visualization tools and dashboard builder
- Ensure high quality through the development and maintenance of automated unit, integration, and end-to-end tests
- Participate in an on-call rotation to support system reliability
- Actively pursue opportunities for professional growth and skill enhancement
- Travel occasionally to customer sites to directly understand user needs and challenges
Requirements
Our software stack includes Python, Typescript, React, MQTT, Figma, PostgreSQL, hosted on AWS and managed with GitHub. You will use and develop expertise with these technologies. The successful candidate for Full Stack Software Engineer will possess the following traits and qualifications:
- Relevant engineering degree(s) or equivalent professional experience demonstrating a strong foundation in computer science
- Experience developing software with Python and/or Typescript
- Experience with agent-driven development workflows. Past projects developing custom harness greatly preferred.
- Familiarity with modern web frameworks, databases, cloud infrastructure, and real-time data visualization libraries
- Strong communication and collaboration skills
- Flexibility and willingness to travel domestically and internationally
Benefits
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
The anticipated base salary range for this role is $105,000 to $115,000.
We built CVector to help create an affordable, resilient, and safe global infrastructure that runs nearly autonomously. To achieve that, CVector aims to put a brain and a nervous system into every energy generating, storing, and consuming asset in the industrial world.
We built CVector to help create an affordable, resilient, and safe global infrastructure that runs nearly autonomously. To achieve that, CVector aims to put a brain and a nervous system into every energy generating, storing, and consuming asset in the industrial world.
