Candid
General Engineering
SeniorProcessEngineer(Preconstruction)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Process Engineer (Preconstruction) at Candid. Skills: Process engineering, Preconstruction, Document automation, Workflow design. Define preconstruction process work. Define what good looks like”
What You'll Achieve.
Make preconstruction 10x faster
Industry & Context.
Spot inconsistencies; Rework analysis
What They're Looking For.
Must Have
7+ years at an EPC, 7+ years at a PMC, 7+ years at an owner operator, understanding of FEED workflows, understanding of detailed design workflows, Deep experience owning PFD development, Deep experience owning P&ID development, Experience running simulations in Aspen HYSYS, Experience running simulations in Aspen Plus, Experience running simulations in similar tools, fundamentals in relief workflows, fundamentals in hydraulics workflows, fundamentals in sizing workflows, Knowledge of API standards, Knowledge of ASME standards, Knowledge of NFPA standards, Knowledge of ISA standards, Knowledge of similar standards, Ability to spot inconsistencies across P&IDs, Ability to spot inconsistencies across datasheets, Ability to spot inconsistencies across vendor packages, Clear understanding of cross discipline dependencies
Nice to Have
Experience as discipline lead, Experience as technical authority, Familiarity with flare system modeling, Familiarity with relief calculation packages, Interest in AI, Interest in automation
What You'll Do.
Define preconstruction process work
Define what good looks like
Review process deliverables
Validate process deliverables
Build repeatable checks
Catch inconsistencies across documents
Catch inconsistencies across handoffs
Map where rework happens
Map why rework happens
Map inputs driving rework
Clarify interface points with Mechanical
Clarify interface points with Piping
Clarify interface points with Electrical
Clarify interface points with Instrumentation
Identify repetitive steps
Identify steps requiring engineering judgement
Define checks for software automation
Define workflows for software automation
Define product requirements for automation
How You'll Work.
Team & Collaboration
Cross discipline dependencies
Full Job Description
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. What You Will Do You will help us translate real process engineering workflows into product requirements and validation checks: - Define how preconstruction process work is done in practice and what “good” looks like - Review and validate process deliverables across early phase engineering packages - Build repeatable checks to catch inconsistencies across key documents and handoffs - Map where rework happens, why it happens, and what inputs typically drive it - Clarify interface points with Mechanical, Piping, Electrical, and Instrumentation - Identify which steps are repetitive vs which require real engineering judgement You'll help define the checks, workflows, and product requirements that let software take on the repetitive parts, with engineers in control. What We Are Looking For - 7+ years at an EPC, PMC, or owner operator - Strong understanding of FEED and detailed design workflows - Deep experience owning PFD and P&ID development - Experience running simulations in Aspen HYSYS, Aspen Plus, or similar tools - Strong fundamentals in relief, hydraulics, and sizing workflows - Knowledge of API, ASME, NFPA, ISA, or similar standards - Ability to spot inconsistencies across P&IDs, datasheets, and vendor packages - Clear understanding of cross discipline dependencies Nice to Have - Experience as discipline lead or technical authority - Familiarity with flare system modeling and relief calculation packages - Inte
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