Senior Software Engineer

Roebling

5d•Hybrid

About The Position

You'll be one of the next two or three engineers on the team. You'll own large surfaces of the product (schemas, services, agent loops, UI) alongside the founders, our earliest customers, and a small senior team that ships major features to prod every week. Some weeks you'll be prototyping new workflows against live customer feedback; others you'll be designing core systems that have to stay correct, performant, and maintainable for years. You'll help set the bar for how engineering operates as we scale. What you'll work on: AI agents that explore a project's design space across thousands of simulation scenarios, evaluating tradeoffs across CAPEX, OPEX, throughput, and carbon intensity. Ingestion pipelines for public utility data, equipment specs, and financial datasets. Performance, stability work and numerical optimization in our simulation engine. The CI/CD, observability, and testing foundations a fast team needs to stay fast.

Requirements

~5-7 years shipping production software.
Meaningful time at a startup that grew through a real scaling phase.
Ability to engineer without leaning on autocomplete.
Ability to read code, debug live systems, and reason about performance, scalability, and maintainability.
End-to-end product instinct: ability to balance Pydantic schemas, React components, and customer constraints.
Clear writing skills for effective handoffs across timezones.
Daily use of AI-native workflow tools like Claude Code or Cursor.
Understanding of what to delegate, what to review carefully, and where AI tools fall down.

Nice To Haves

Production experience shipping LLM-powered features.
Domain background in a science or engineering field (bio, chem, physics, ME, ChemE).

Responsibilities

Own large surfaces of the product (schemas, services, agent loops, UI).
Prototype new workflows against live customer feedback.
Design core systems that have to stay correct, performant, and maintainable for years.
Set the bar for how engineering operates as the company scales.
Develop AI agents for exploring design spaces and evaluating tradeoffs.
Build ingestion pipelines for public utility data, equipment specs, and financial datasets.
Work on performance, stability, and numerical optimization in the simulation engine.
Develop CI/CD, observability, and testing foundations for a fast-moving team.