Digital Solutions Engineer Energy

Job Description

Overview

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We are seeking a Digital Solutions Engineer Energy to join our team in Richland, WA.

Your role

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• Develop and deliver advanced digital solutions that support the design, construction, commissioning and operation of complex nuclear facilities.
• Work at the intersection of engineering, software development, data analytics and advanced modeling, you will help transform complex engineering and operational data into actionable insights that enable smarter, faster and more informed decisions.
• Key focus will be supporting first of a kind (FOAK) nuclear facilities, where uncertainty, technical complexity and evolving requirements create unique challenges.
• Develop digital tools and analytical solutions to identify and mitigate risks, evaluate alternative scenarios, optimize processes, predict potential constraints and improve project outcomes.
• Apply software engineering and analytical capabilities to some of the most challenging and important projects in the nuclear industry.

Digital Solutions & Software Engineering

• Design, develop and implement software applications and digital solutions to address complex engineering, project delivery and operational challenges.
• Develop reusable digital tools and applications that improve efficiency, reduce risk and support informed decision-making.
• Develop software using programming languages such as Python, C#, Java and SQL.
• Design and implement data-driven applications that integrate information from multiple engineering, project and operational systems.
• Develop prototypes and proof-of-concept solutions to demonstrate the potential value of new digital technologies.
• Apply software engineering principles, modular design, version control and development best practices.
• Collaborate with engineering specialists to translate technical challenges into practical digital solutions.

Simulation, Mathematical Modelling & Optimization

• Develop discrete event simulation and process simulation models to represent complex facility operations, construction activities and engineering processes.
• Apply Operations Research, mathematical modelling and optimization techniques to evaluate alternative scenarios and improve system performance.
• Develop models to identify process bottlenecks, capacity constraints, resource limitations and operational risks.
• Perform what-if analysis and scenario modelling to evaluate the impact of design decisions, operating strategies and project changes.
• Develop optimization solutions for resource allocation, scheduling, material movements, equipment utilization and facility throughput.
• Use simulation and analytical modelling to support early-stage design decisions and reduce uncertainty in FOAK nuclear facility development.
• Translate simulation outputs and analytical results into practical recommendations for engineering and project leadership.

Data Engineering, Analytics & Visualization

• Develop data-driven solutions that transform complex engineering and operational information into actionable insights.
• Design and develop interactive dashboards, reporting applications and data visualization tools using Microsoft Power BI, Tableau and equivalent technologies.
• Develop data models, data integration processes and automated analytical workflows.
• Work with structured and unstructured data from multiple sources, including engineering, construction, scheduling and operational systems.
• Establish meaningful performance indicators (KPIs), analytical metrics and performance monitoring capabilities.
• Apply statistical analysis, predictive analytics and machine learning to identify trends, assess risks and support future performance predictions.
• Communicate complex analytical findings through clear visualizations and decision-support applications.

AI, Machine Learning & Advanced Analytics

• Identify and develop opportunities to apply AI, machine learning and advanced analytics to nuclear engineering and project delivery challenges.
• Develop predictive models to identify potential risks, constraints and performance issues.
• Explore the application of machine learning, opt...

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