Lead Facilities Engineer - Wellsite Autonomous Operations

bp

✔ H1B Visa Sponsor

Location

Denver, CO

Salary

$200,000 - $235,000

Type

Full-Time

Experience

Senior Level

Job Description

Full time

Lead Facilities Engineer \- Wellsite Autonomous Operations

United States of America, Colorado, Denver 4 days ago



Job category

Engineering

Experience level

Senior

Relocation available

This role is not eligible for relocation

Job type

Professionals

Travel required

Up to 25% travel should be expected with this role

Job code

RQ107899

Job Description

Role Synopsis



The Lead Facilities Engineer – Wellsite Autonomous Operations serves as the single enterprise authority for facilities system, compression, and flow network behavior supporting autonomous and semi‑autonomous wellsite operations. This role is accountable for ensuring that facilities architectures, compression strategies, and surface network designs enable safe, reliable, and value‑optimized autonomous operation at scale, while remaining aligned with enterprise governance, process safety, operating model standards, and lifecycle cost objectives.



The role holds authority within delegated limits for facilities standards supporting autonomy and escalates safety‑critical, system‑level, or cross‑discipline decisions as required. This position converts field‑level facilities innovation and modeling insight into repeatable, governed enterprise advantage.



Scope \& Accountability



Own the enterprise facilities standards that underpin autonomous and semi‑autonomous wellsite operations.

Serve as the facilities counterpart to Automation, Production Engineering, and Operations leadership within the WAO governance model.



**Ensure facilities system design enables:**

Compression operability across variable operating envelopes

Stable, predictable flow under transient conditions

Autonomous control strategies that respect physical system limits

Economics supporting the impact in terms of discrete value and potential scale

Act as the authoritative voice on surface network behavior, including gas, liquids, and multiphase flow interactions across pads, trunklines, and compression stations.



Performance Management \& Learning



Partner with WAO leadership to define success criteria, KPIs, and OKRs for facilities‑enabled autonomous operations.



**Establish outcome‑based performance measures tied to:**

Compression availability and unmanned auto restart, remote supported restart, and remote diagnostics for first\-visit resolution

Flow assurance stability under transient operation

Constraint removal and debottlenecking effectiveness

Lead or support root cause failure analyses (RCFAs) for material facilities, compression, or surface‑network‑driven events.



**Ensure RCFA outcomes are translated into:**

Updated standards

Modeling assumptions and constraints

Deployment guardrails for autonomous operation



Standards \& Governance



Define, steward, and maintain facilities standards supporting WAO, including:

Compression system control envelopes and operability limits

Surface network design criteria for autonomous and transient operation

Facilities integration requirements with automation and control strategies



**Establish clear criteria for:**

Standard application

Approved deviations

Required escalation for safety‑critical or value‑material decisions



**Ensure facilities designs are consistent with:**

Process safety and mechanical integrity expectations

Operability across steady‑state and transient conditions

Enterprise lifecycle cost and reliability objectives



Minimum Qualifications



Experience



12\+ years of Facilities Engineering experience in US onshore oil and gas operations.

Demonstrated enterprise or multi‑asset technical influence.

Recognized internally as a technical authority in facilities systems, pipeline networks, and compression.



Technical Domain Expertise



Compression Systems

Deep expertise in gas compression technologies used in US onshore operations

Understanding of compressor performance envelopes, turndown limitations, recycle strategies, and failure modes

Ability to define compression requirements that enable autonomous and semi‑autonomous operation without compromising equipment integrity

Dynamic \& Transient Modeling

Advanced experience with dynamic modeling of gas and liquid flowline networks



**Ability to evaluate transient behavior during:**

Startups and shutdowns

Rate changes

Equipment trips and restarts

Translate modeling outputs into practical design constraints and operational guardrails

Surface Network Optimization

Expertise in integrated well‑pad‑to‑facility‑to‑sales system behavior

Ability to identify system bottlenecks and constraint propagation under transient conditions

Application of modeling insight to optimize uptime, minimize instability, and enable scalable autonomy



Value Delivery



Enable measurable production, uptime, and reliability improvements

Posted: 2026-03-11