Advanced Process Control Engineer
CruxOCM
Advanced Process Control Engineer
CruxOCM
Autonomous control optimization for heavy industry
CruxOCM is the leading automation company in heavy industry, specifically targeting the energy sector. We are a venture capital-backed company dedicated to transforming this industry.
Control room operators require the most effective tools to perform their jobs safely and efficiently, while minimizing environmental impact and maximizing revenue. Considering that pilots have autopilot software, it's time for control room operators to have a comparable solution.
We are looking for an Advanced Process Control Engineer who will be a technical authority on control automation. You will be responsible for leading the development and integration of advanced control algorithms with Crux software, industrial systems and workflows.
The Advanced Process Control Engineer, reporting to the Advanced Process Control Engineer Lead, is a key role that blends leadership skills, personal skills, and technical expertise. You will join a team focused on delivering automation solutions to improve pipeline operations within control room environments. This role involves close collaboration with customer teams (Control operation, SCADA engineering) and internal teams (Deployment, Product, and Engineering) to ensure alignment on customer requirements and project delivery.
Advanced Control: Architect, implement, and tune advanced control strategies, such as Model Predictive Control (MPC), for pipeline systems
Discrete Logic: Design state machines for operational mode management, construct fail-safe conditions and safety checks, and protective interlocks
Control System Testing: Outline and execute test plans to validate controller performance and safety requirements, perform root cause analyses (RCAs), and troubleshoot errors or undesired behaviours in simulation-based and production environments
Algorithm Design: Create and help maintain tools for data analysis, system identification, empirical and physics-based model tuning
System Integration: Enable rapid integration and deployment of Crux products, by developing playbooks, standardizing processes and leveraging the latest engineering tools.
Quality Assurance: Ensure all deliverables meet the high safety and reliability standards required for heavy industry environments.
Relationship Building: Develop deep, trust-based relationships with client-side operators and technical leads.
Internal Synergy: Align cross-functional teams to ensure a unified delivery approach.
Bachelor’s degree in Chemical, Electrical, or Mechanical engineering or related field (post-graduate studies focusing on advanced control systems or MPC preferred)
Hold a Professional Engineer (P.Eng.) designation or be eligible to obtain licensure in Canada
Experience with control system design, controller tuning, execution of simulation-based testing, data processing and analysis, system integration
Familiarity with the process of system identification to develop empirical models of input-output relationships
Experience with writing specification documents, technical reports
Proficiency with Python and version control software (e.g. GitHub)
Prior experience or knowledge of the following is considered an asset:
A reasonable understanding of hydraulic theory, fluid dynamics, numerical methods, optimization algorithms/dynamic programming
Experience with OPC communication protocols and/or SCADA systems
Experience with DNV Synergi Pipeline Simulator (SPS) or Atmos Simulation Suite for performing transient pipeline simulations
Competitive compensation package, including equity
Comprehensive health benefits
Remote-first work environment
Flexible work arrangements
Professional development opportunities
Growth-mindset culture
A diverse and inclusive environment
CruxOCM provides robotic industrial process automation for heavy industry by offering an autonomous control and optimization platform for large-scale, dynamic systems, starting with oil and gas. The software plugs into existing control centers, continuously monitors operations, and autonomously adjusts decisions to improve throughput, safety, and environmental compliance. It stands out by delivering adaptive, end-to-end control room optimization tightly integrated with current infrastructure, focusing on safety, efficiency, and environmental goals rather than generic automation. Its aim is to help clients increase revenue while reducing environmental impact by enabling operators to manage complex processes with higher precision and reliability.
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