Senior Piping Engineer (Preconstruction)

Candid is building the AI layer for EPCs.

We use AI to reduce the manual effort behind preconstruction engineering by automating document understanding, consistency checks, and repetitive workflow steps across major disciplines. Our goal is to make preconstruction 10x faster without sacrificing engineering quality.

We recently raised $6.5M from top AI and industrial investors (including Schneider Electric and Meta’s Chief AI Scientist). Our team includes engineers from MIT, Carnegie Mellon, major LNG and power projects, and leading EPCs. What You Will Do

You will help us translate real piping workflows into product requirements and validation checks:

Define how piping information is developed and validated during FEED and early detailed design

Review and validate piping related content across P&IDs, line lists, and specs

Create repeatable checks to catch tagging, completeness, and consistency issues early

Map where piping rework happens and what typically causes it

Clarify interface points with Process, Mechanical, I&C, and Electrical

Identify which steps are repetitive vs which require real engineering judgement

Your experience will help define the checks, workflows, and product requirements that let software take on the repetitive parts, with engineers in control.

7+ years at an EPC, PMC, or owner operator

Strong understanding of FEED and early detailed design piping workflows

Experience with P&ID reviews and common piping deliverables (line list, specs, valve selection logic)

Familiarity with ASME B31.3 and downstream piping practices

Ability to spot inconsistencies across P&IDs, line lists, and vendor packages

Clear understanding of cross discipline dependencies

Experience with brownfield tie ins and constructability constraints

Familiarity with plot plan and 3D model driven decisions

Interest in AI or automation