CVector | Software Engineers, Senior Research Engineer | New York City (FiDi) | ONSITE | Full-time | VISA SPONSORSHIP
CVector builds software to bring real time economic optimization and AI prediction to every energy and manufacturing plant. We integrate real-time data visualization and analytics to help power generation stations, chemical plants, and other critical infrastructure make informed decisions in rapidly changing environments. You'll help create intuitive, robust web apps, machine learning models and backend systems, shaping tools that directly impact industrial operations and energy reliability. Build AI agent systems that automatically foresee upcoming problems and provide possible solutions.
Full Stack and Backend Software Engineers: We're looking for a passionate Software Engineers comfortable working across our stack (Python, Typescript, React, Supabase, MQTT, TimescaleDB, PostgreSQL, AWS, FastAPI) or someone to specialize in our backend infrastructure.
Senior Research Engineer: Candidates should be experienced with machine learning, and analysis using Python.
They use a bespoke language to define LLM-generated UI components. I think that this is supposed to prevent exfiltration if the LLM is prompt-injected. In any case, the parser compiles chunks streaming from the LLM to build a live UI. The WASM parser restarted from the beginning upon each chunk received. Fixing this algorithm to work more incrementally (while porting from Rust to TypeScript) improved performance a lot.
CVector | Senior Software Engineer – Backend & AI Infra | New York City (FiDi) | ONSITE | Full-time | VISA SPONSORSHIP
CVector builds software to bring real-time economic optimization and AI prediction to every energy and manufacturing plant. We fuse live asset data with market dynamics into one decision layer that continuously forecasts, simulates, and optimizes — so plants run closer to their true economic potential every day.
CVector recently raised $5M seed, read more on TechCrunch: https://techcrunch.com/2026/01/26/ai-startup-cvector-raises-...
We're looking for a senior backend engineer to evolve our core platform — time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines. You'll take ownership of complex systems, drive major technical migrations, and shape how intelligence is embedded into industrial energy workflows. Think: AI evals and prompt engineering, MQTT ingestion pipelines, time-series schema design, PostgreSQL infrastructure, and ML platform support.
Stack: Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS. 5+ years experience building production backend systems. FinTech, quantitative analysis, or econometrics background is a strong plus.
$125K–$150K + meaningful equity. Reach out to me at [email protected]
CVector | Software Engineers, Senior Research Engineer | New York City (FiDi) | ONSITE | Full-time | VISA SPONSORSHIP
CVector builds software to bring real time economic optimization and AI prediction to every energy and manufacturing plant. We integrate real-time data visualization and analytics to help power generation stations, chemical plants, and other critical infrastructure make informed decisions in rapidly changing environments. You'll help create intuitive, robust web apps, machine learning models and backend systems, shaping tools that directly impact industrial operations and energy reliability. Build AI agent systems that automatically foresee upcoming problems and provide possible solutions.
Full Stack and Backend Software Engineers: We're looking for a passionate Software Engineers comfortable working across our stack (Python, Typescript, React, Supabase, MQTT, TimescaleDB, PostgreSQL, AWS, FastAPI) or someone to specialize in our backend infrastructure.
Senior Research Engineer: Candidates should be experienced with machine learning, and analysis using Python.
This looks nice! I like the idea of providing more deterministic feedback and more or less forcing the assistant to follow a particular development process. Do you have evidence that gtg improves the overall workflow? I think that there is a trade-off between risk of getting stuck (iteration without reaching gtg-green) versus reaching perfect 100% completion.
Yes, this is it. When I'm experimenting, I'm happy to pay an extra $40 for the name-brand device that has 1000s of blog posts supporting it, since it's probably this community is going to help me be more successful and learn faster.
I would reconsider the choice when I have a commercial product that I have some scale of production, where a few bucks off the BOM is important.
CVector | Full Stack Software Engineer | USA | REMOTE | Full-time | $75k – $120/yr + 0.3% – 1%
CVector builds software to make energy systems smarter, more reliable, and autonomous. We integrate real-time data visualization and analytics to help power generation stations, chemical plants, and other critical infrastructure make informed decisions in rapidly changing environments. You'll help create intuitive, robust web apps and backend systems, shaping tools that directly impact industrial operations and energy reliability.
Remote-first team with occasional domestic travel to connect with users directly. Recent graduates may need to relocate.
Full Stack Software Engineer: We're looking for a passionate Full Stack Software Engineer comfortable working across our stack (Python, Typescript, React, Supabase, MQTT, TimescaleDB, PostgreSQL, AWS, FastAPI).
CVector | Full Stack Software Engineer | USA | REMOTE | Full-time | $75k/yr + 0.3% – 1%
CVector builds software to make energy systems smarter, more reliable, and autonomous. We integrate real-time data visualization and analytics to help power generation stations, chemical plants, and other critical infrastructure make informed decisions in rapidly changing environments.
We're looking for a passionate Full Stack Software Engineer comfortable working across our stack (Python, Typescript, React, Supabase, MQTT, Kafka, TimescaleDB, PostgreSQL, AWS). You'll help create intuitive, robust web apps and backend systems, shaping tools that directly impact industrial operations and energy reliability.
Remote-first team with occasional domestic travel to connect with users directly. Recent graduates may need to relocate.
Is MITRE's CVE program redundant with NIST's National Vulnerability Database? I'm having a hard time telling how the two are related, or if NVD is simply performing the same service as MITRE.
CVector | Full Stack Software Engineer | USA | REMOTE | Full-time | $100k/yr + 0.3% – 1%
CVector builds software to make energy systems smarter, more reliable, and autonomous. We integrate real-time data visualization and analytics to help power generation stations, chemical plants, and other critical infrastructure make informed decisions in rapidly changing environments.
We're looking for a passionate Full Stack Software Engineer comfortable working across our stack (Python, Typescript, React, Supabase, MQTT, Kafka, TimescaleDB, PostgreSQL, AWS). You'll help create intuitive, robust web apps and backend systems, shaping tools that directly impact industrial operations and energy reliability.
Remote-first team with occasional domestic travel to connect with users directly.
Cumulus Digital Systems is building the Internet of Tools platform to transform the industrial workforce to be fully connected and data-driven, significantly improving safety and productivity in maintenance and construction. Our goal is to eliminate accidents caused by poor work quality.
We are looking for a senior software engineer to help improve our back-end services. You should have a startup mentality, meaning the ability to rapidly pick up new required skills, and be proactive when it comes to project execution. We are looking for a senior software engineer, who has mastered their craft and keeps up-to-date with developments in their field.
Time to create the index for lunr limits the size of the data-set that can be used. If you have a lot of tiny documents, then it is more practical to scan the documents directly, rather than using the lunr index.