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Senior Piping Engineer (Preconstruction)

External
candidintelligence logoCandidintelligence · San Francisco
$150K–$250K/yrFull-timeRemote2w ago
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Responsibilities

  • 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.

Requirements

  • 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

Benefits

Meaningful base + equityUnlimited PTO: We believe great work requires recharging.Insurance: Generous health insurance covering medical, dental, and vision.Health and Wellness Budget: We provide up to $150/mo reimbursement for health andwellness spending, such as gym memberships, fitness classes, or similar.Health insuranceDental insuranceVision insurancePaid time offEquity / stock options

Additional Information

What We're Building 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.

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