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The Advanced Photon Source (APS) at Argonne National Laboratory is seeking a Configuration Management Engineer to support the implementation and long-term sustainment of an integrated Configuration Management and Asset Management ecosystem across accelerator systems, beamlines, utilities, and scientific infrastructure.

This role will be part of a multidisciplinary engineering and operations team responsible for implementing a modern Computerized Maintenance Management System (CMMS) integrated with a Configuration Database to improve reliability, traceability, and lifecycle management of APS technical assets. The Configuration Management Engineer will help establish and maintain configuration control processes, ensure data integrity across engineering and operational systems, and support the transition toward a data-driven, AI-enabled asset management framework.

Following implementation of the CMMS - Configuration Database strategy, the position will play a critical role in sustaining the system, ensuring configuration integrity, supporting maintenance and engineering workflows, and enabling predictive maintenance and reliability analytics capabilities across the facility.

Key Responsibilities

Configuration Management Implementation

• Support implementation of configuration management processes for APS accelerator systems, beamlines, utilities, and experimental infrastructure.

• Assist in deploying and integrating the CMMS and Configuration Database platform with existing APS engineering and operational systems.

• In collaboration with APS operations, define and maintain asset hierarchies, configuration baselines, and system relationships within the CMMS - Configuration Database ecosystem.

• Ensure configuration traceability between physical assets, engineering documentation, maintenance records, and operational data.

System Integration & Data Management

• Work with engineering, IT, and operations teams to integrate CMMS - Configuration Database platforms with:

  • Controls systems and operational data historians

  • Engineering document management systems

  • Component and asset databases

  • Reliability and analytics platforms

• Support development and maintenance of data governance and master data management practices.

• Ensure data quality, consistency, and configuration integrity across systems.

Configuration Control & Lifecycle Management

• Support engineering change control processes and configuration baseline management.

• Maintain configuration documentation and system relationships throughout the asset lifecycle.

• Assist with compliance with DOE, Argonne, and APS configuration management and quality assurance requirements.

• Provide configuration management support during system upgrades, modifications, and operational changes.

Reliability & Analytics Support

• Collaborate with reliability engineering and operations teams to enable data-driven maintenance strategies.

• Support analytics initiatives related to predictive maintenance, reliability metrics (MTBF/MTTR), and asset performance management.

• Assist in developing dashboards and reporting frameworks to support operational decision-making.

Long-Term Sustainment

• Provide ongoing support and stewardship for the CMMS - Configuration Database ecosystem after deployment.

• Assist in maintaining system documentation, user training materials, and operational procedures.

• Identify opportunities for continuous improvement in asset management, maintenance workflows, and configuration control practices.

May be required to perform other duties as assigned.

Position Requirements

• Minimum Education/Experience Requirement: Bachelors and 5+ years' experience, Masters and 3+ years' experience, PhD and 0+ years' experience, or equivalent

• Degree in engineering, systems engineering, engineering physics, computer science, or a related technical field.

• 5+ years of experience in configuration management, asset management, systems engineering, or technical data management.

• Experience supporting complex technical systems such as scientific facilities, industrial plants, utilities, or large engineering infrastructures.

• Familiarity with configuration management principles and lifecycle asset management practices.

• Experience working with engineering databases, asset management systems, or CMMS platforms.

• Strong analytical, organizational, and documentation skills.

• Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

• Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.

Preferred Knowledge, Skills, and Experience

• Experience with CMMS platforms (e.g., Maximo, SAP PM, Infor EAM, MaintainX, or similar systems).

• Familiarity with configuration databases, digital engineering environments, or PLM systems.

• Experience integrating engineering systems with operational data sources or historians.

• Knowledge of reliability engineering concepts, including MTBF/MTTR and predictive maintenance.

• Experience working within DOE laboratories, large research facilities, or regulated engineering environments.

• Familiarity with data governance, APIs, or system integration architectures.

• STEM

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Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.