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Ndustrial is a Series B startup based in Raleigh, NC that has delivered $100M+ in energy savings for food producers, storage operators, and retailers across the cold chain. The company's Nsight platform integrates existing systems to turn energy into a measurable production input, deploying in weeks and verifying savings in real time without disrupting operations. Trusted by industry leaders like Lineage, Americold, and ABB, Ndustrial is revolutionizing how the cold chain uses energy for a more sustainable future.
You will join an AI-forward engineering organization as a Senior Software Engineer, helping design and build the frontend, APIs, backend services, and AI-powered capabilities of the Nsight Energy Intensity Platform. You'll work across the full stack in the industrial IoT space, partnering closely with engineering, product, design, and data teams to deliver intelligent, customer-focused solutions that help manufacturers optimize energy performance and operational efficiency.
The role emphasizes taking ambiguous problems and designs, driving them to shipped features by defining scope, surfacing the right questions, and deciding what to build when the answer isn't obvious. You'll lead the team through key technical and architectural decisions, building alignment and making calls when needed. You'll build and maintain customer-facing features end-to-end across the UI, APIs, backend services, and data models. You'll design and evolve database schemas and data models supporting the multi-tenant Nsight platform, develop scalable and secure APIs powering both traditional and AI-driven product capabilities, and partner with Product, UX, and Data teams to translate user needs into technical solutions.
The organization expects engineers to use modern AI-assisted tools as a default part of how they work—not just to write code faster, but to think through designs, explore tradeoffs, and ship intelligent product capabilities. You'll use AI tools and workflows as a core part of designing, building, testing, documenting, and operating software. You'll evaluate, prototype, and implement AI-powered features and workflows that deliver measurable customer value, build internal AI tools and agents that improve engineering and business operations, and identify and resolve production issues using both traditional debugging and AI-assisted analysis. You'll mentor teammates and raise the overall effectiveness of the engineering organization.
The role is hybrid, requiring the ability to work from the downtown Raleigh office on S. Harrington St.
**Requirements:**
- 7+ years of professional software development experience, with a BS in Computer Science, Software Engineering, or related experience, preferably in a startup environment
- Track record of taking ambiguous problems or designs and independently deciding what and how to build
- Works well from a design and comfortable using AI tools (Claude or similar) to generate wireframes and mockups, then translate them into polished, production-ready interfaces
- Clear, outspoken communicator who can articulate a technical position, build consensus, and lead a team through a decision
- Strong frontend experience with React and TypeScript
- Strong API design experience with REST or GraphQL, including API security (OAuth 2.0 a plus)
- Solid experience with relational databases and schema design, ideally PostgreSQL (SQL)
- Demonstrated use of modern AI development tools (GitHub Copilot, Cursor, Claude Code, ChatGPT, OpenAI/Anthropic APIs, or similar) as a core part of daily engineering workflows
- Experience in an AI-first development environment—prompt-driven development, AI-assisted testing, code generation, leveraging and creating AI agents, debugging, and documentation
- Comfortable full-stack, moving fluidly across the frontend, API, and data layers
- Backend experience in one or more of: Node.js, TypeScript, Python, Java, Kotlin
- Strong product mindset, balancing technical excellence, speed, and customer value
- Ability to work a hybrid schedule in the downtown Raleigh office
**Nice to have:**
- Experience with operational and deployment tooling such as Kubernetes, Helm, and CI/CD pipelines (GitHub Actions or similar)
- Experience with backend stream processing and event-driven architectures (Pulsar, Kafka, or similar)
- Experience integrating LLMs, AI services, or agent-based workflows into production applications or internal platforms
