Candidintelligence

Candidintelligence

Director of Engineering Delivery (Power Generation / Gas-to-Power)

Houston · Director

Sponsorship not specifiedDetected 97 days ago
Process Simulation

About the role

  • 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.

Responsibilities

  • Lead and manage the discipline engineering team (process, electrical, mechanical, piping), set the bar, and own delivery quality end to end
  • Own the assembly and quality of design basis packages, heat and mass balances, single-lines, equipment lists, P&IDs and PFDs, datasheets, utility summaries, and gate-review packages

Requirements

  • 15+ years in capital project execution, with significant time in power generation, gas-to-power, LNG, midstream, or petrochemical facilities
  • You have directed or led Pre-FEED, FEED, or Concept Select phases end to end.
  • You know how to set a quality bar and hold it
  • You are not threatened by AI.

Nice to have

  • Direct experience on data center or behind-the-meter power campuses
  • Owner's engineer experience, or having sat on both the EPC and owner-operator sides
  • Background in AWP (Advanced Work Packaging) or modular execution
  • Familiarity with turbine OEM selection and packaging (GE Vernova, Siemens Energy, Mitsubishi Power) at a program level
  • Comfort reading process simulation outputs even if you don't run the tools yourself
  • Relationships in the Houston EPC and owner-operator ecosystem
  • You've spent a career watching the same inefficiencies repeat across every project.
  • Here you get to actually fix them, with AI tools built around your expertise

Skills

  • What We're Building
  • The goal is to make preconstruction 10x faster without sacrificing engineering quality.
  • Why This Role Exists

Compensation

  • Compensation and Perks

This listing is sourced directly from Candidintelligence's careers page and normalized into a canonical job model.