Senior Software Engineer

Ndustrial has delivered $100M+ in energy savings for food producers, storage operators and retailers across the cold chain. Our Nsight platform integrates existing systems to turn energy into a measurable production input. It deploys in weeks and verifies savings in real time, without disrupting operations. Trusted by industry leaders like Lineage, Americold and ABB, we're revolutionizing the way the cold chain uses energy for a more sustainable future.

More About Us:

We are a Raleigh, NC based Series B startup backed by world class investors and serve global customers in energy-intensive sectors like cold storage, logistics, and manufacturing.

We live by our values: Teamwork, Customer First, Quality, and Curiosity. Founded by experts in Silicon Valley innovation, industrial engineering, and computer science. With a team of forward-thinkers and problem-solvers, we're driving the digital transformation of industries globally.

Ndustrial builds software that helps the world's largest food, cold chain, and industrial operators understand and control their energy in real time.

If you want your work to make real change, this is the place.

About the Role:

Ndustrial is hiring a Senior Software Engineer to help design and build the frontend, APIs, backend services, and AI-powered capabilities of our 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.

We're an AI-forward engineering organization. We expect 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 that create real customer value.

This role is for someone who works well from a design, and is just as comfortable using AI to create wireframes and mockups as they are building from them, and figures out what to build and how to build it. You won't wait to be handed a spec. You'll take ambiguous problems, shape them into a plan, and bring the team along. We're looking for an engineer with strong opinions, loosely held, someone who speaks up in design reviews and is willing to lead the team through the hard architectural and product decisions. If you'd rather drive direction than just take tickets, this is the role.

Responsibilities:

• Take designs and loosely-defined problems and drive them to shipped features - defining scope, surfacing the right questions, and deciding what to build when the answer isn't obvious
• Lead the team through key technical and architectural decisions, building alignment and making the call when one is needed
• Build and maintain customer-facing features end-to-end across the UI, APIs, backend services, and data models
• Design and evolve database schemas and data models that support our multi-tenant Nsight platform
• Develop scalable, secure APIs that power both traditional application experiences and AI-driven product capabilities
• Partner with Product, UX, and Data to translate user needs and designs into technical solutions and intelligent product experiences - contributing your own point of view, not just executing
• Use AI-assisted tools and workflows as a core part of how you design, build, test, document, and operate software
• Speak up in planning, design, and code reviews - raise concerns early, challenge assumptions, and help set the bar for AI-assisted engineering practices
• Evaluate, prototype, and implement AI-powered features and workflows that deliver measurable value to customers
• Build internal AI tools, agents, and automations that improve engineering and business operations
• Identify and resolve production issues using both traditional debugging and AI-assisted analysis
• Stay current on advancements in AI engineering and developer tooling, and actively push the org to adopt best-in-class practices
• Mentor teammates and raise the overall effectiveness of the engineering organization