Senior/Staff Software Engineer, Roebling

• This role is ideal for someone who thrives in ambiguity, enjoys taking ideas from 0→1, and is comfortable working across the stack—from backend services and data pipelines to simulation infrastructure and frontend architecture
• We’re looking for engineers who are energized by building foundational systems, owning large pieces of the product, and solving hard problems that blend AI, industrial modeling, and complex data flows
• Strong proficiency in Python and TypeScript/React, with the ability to build new features that span the entire stack
• Thoughtful approach to system architecture and software design, with a track record of making pragmatic decisions in ambiguous environments
• Experience shipping production software at an early-stage startup, ideally owning projects end-to-end from design through deployment
• Clear written and verbal communicator, able to distill complex ideas, align the team on design decisions, and document your work
• High level of ownership and bias toward action—you default to making progress, unblocking yourself, and moving things forward
• Authorization to work in the United States

Desirable

• As one of the earliest engineers at Roebling, you’ll help take the product from a working MVP to a robust, extensible, enterprise-grade platform used by engineering and operations teams on real industrial projects
• You’ll collaborate closely with the founders and early customers, shaping not only the technical architecture but also the engineering culture, product direction, and standards we’ll scale with
• Some days you’ll be rapidly prototyping new workflows for user feedback; other days you’ll be designing core systems that must be correct, performant, and maintainable for years
• Designing an AI agent that explores a project’s design space by running thousands of simulation scenarios in parallel, evaluating tradeoffs to CAPEX/OPEX, throughput, and carbon intensity
• Building ingestion pipelines to bring public utility data, equipment specifications, and financial datasets into our data warehouse
• Optimizing the simulation engine for speed and stability, including algorithmic improvements and hardware acceleration
• Setting up CI/CD pipelines, monitoring, testing frameworks, and other systems that help our team move faster