Full-Time

Senior Piping Engineer

Power Generation / Gas-to-Power

Candid Intelligence

Candid Intelligence

1-10 employees

Internal AI agent for EPC projects

Compensation Overview

$100k - $250k/yr

+ Equity

San Francisco, CA, USA

In Person

Category
Mechanical Engineering (1)
Required Skills
3D Modeling

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Requirements
  • 7+ years at a large scale EPC, PMC, or owner-operator, with most of it on power generation or gas-to-power
  • Direct experience on combined cycle, simple cycle, gas-to-power, LNG, or cogeneration projects (not refining or petrochem only)
  • You've personally owned line list and piping spec development through FEED
  • Strong on power plant piping: high-energy steam cycle (main steam, hot and cold reheat, feedwater), plus fuel gas, condensate, cooling water, and balance of plant piping
  • Hands-on with ASME B31.1 (power piping) and B31.3 (process piping)
  • Familiarity with pipe stress analysis and stress-critical line identification (CAESAR II or similar)
  • Experience with plot plan and 3D model driven layout (AVEVA E3D / PDMS, SmartPlant 3D, or similar)
  • You spot inconsistencies across P&IDs, line lists, and vendor packages fast
  • Clear understanding of cross-discipline dependencies
  • You've felt boxed in by big-company process and you want out
  • Comfortable with ambiguity and wearing multiple hats; bias to action over waiting for perfect
Responsibilities
  • Do real piping engineering on our FEL-2 and early-phase delivery work, owning the parts our software can't handle yet so projects ship
  • Be the quality gate on Candid's automated piping outputs: catch what's wrong before it reaches a client, and feed it back so the product gets sharper
  • Define how piping information gets developed and validated through FEED and early detailed design on power and gas-to-power projects, and what 'good' looks like
  • Review and validate piping content across P&IDs, line lists, piping specs, and tie-in lists
  • Build repeatable checks that catch tagging, completeness, and consistency issues early
  • Map where piping rework happens, why it happens, and what inputs drive it
  • Clarify interface points with Process, Mechanical, I&C, Electrical, and Civil/Structural (pipe racks and supports)
  • Separate the steps that are genuinely repetitive from the ones that need real engineering judgment
  • You'll help define the checks, workflows, and product requirements that let software take on the repetitive parts, with engineers in control
Desired Qualifications
  • Discipline lead or technical authority experience
  • Work on data center or behind-the-meter power campuses
  • High-energy piping materials and metallurgy (P91, P22 chrome-moly), or pipe support and spring hanger design
  • Brownfield tie-ins and constructability constraints
  • Real interest in AI and automation

Candid Intelligence builds an internal AI agent platform for EPC projects (data centers and process plants) to shorten pre-construction timelines by automating complex tasks from document analysis to procurement. Ingestion uses vision and language models to extract data from engineering documents like P&IDs and isometrics in PDFs at scale. Representation creates knowledge graphs and ontologies to organize project data and runs on-premise to keep data secure. Orchestration uses multi-agent workflows to coordinate tools, ensure auditability with human oversight, and operates through a partnership model where experienced builders share control and profits.

Company Size

1-10

Company Stage

Seed

Total Funding

$5.5M

Headquarters

San Francisco, California

Founded

N/A

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Simplify Jobs

Simplify's Take

What believers are saying

  • Reduces engineering labor by automating document understanding and consistency checks.
  • Enables EPCs to submit more competitive bids by flagging design risks early.
  • Subscription model supports B2B integration into existing engineering workflows for automated drafting.

What critics are saying

  • Hyperscalers bundling EPC-specific AI agents will erode Candid's standalone value in 9–15 months.
  • Major EPC firms developing proprietary agents will eliminate Candid's customer pipeline in 12–18 months.
  • Open-source vision-language models parsing P&IDs with 95% accuracy will undercut Candid's pricing in 12–24 months.

What makes Candid Intelligence unique

  • Candid compresses pre-construction engineering from months to hours using agentic AI.
  • Platform runs on-premise, ensuring all project data stays within client infrastructure.
  • Multi-agent systems resolve inconsistencies across software tools with human-in-the-loop audits.

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Benefits

Unlimited Paid Time Off

Health Insurance

Wellness Program

Meal Benefits

Company Equity