Digital Solutions Engineer Energy

Job Description

Overview

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

Your role

• •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, optimization algorithms and intelligent automation to improve engineering and operational processes.
• •Evaluate emerging technologies and develop practical applications that deliver measurable value.
• •Collaborate with the wider Digital Technology team to integrate AI/ML capabilities into digital solutions and workflows.

Software Lifecycle, Requirements & Verification and Validation

• •Develop and maintain software lifecycle documentation in accordance with applicable project and quality requirements.
• •Translate business, engineering and operational needs into clearly defined software requirements and functional specifications.
• •Develop solution architecture, technical designs, data models and implementation documentation.
• •Establish requirements traceability throughout the software development lifecycle.
• •Develop and execute software testing strategies, including verification and validation (V&V), to demonstrate that solutions meet defined requirements and intended functionality.
• •Maintain software configuration management, change control, testing records and release documentation.
• •Ensure digital solutions address applicable cybersecurity, data integrity, software quality assurance and nuclear quality requirements.

Digital Innovation & Collaboration

• •Work with engineering, construction, commissioning and operations personnel to understand business challenges and identify opportunities for digital improvement.
• •Collaborate across the Digital Technology organization, including simulation, Operations Research, immersive technology, reality capture and AI/ML specialists.
• •Contribute to the development and implementation of digital strategies, frameworks, standards and reusable digital solutions.
• •Support digital technology demonstrations, technical workshops and client engagements.
• •Promote innovation and the effective use of data and technology throughout the nuclear project lifecycle.
• •Performs other duties as required.

About you

• •Requires a Bachelor’s degree in Computer Science, Software Engineering, Data Science, Applied Mathematics, Engineering, Operations Research or a related discipline.
• •Requires 3 years of experience developing software applications, digital solutions or analytical tools.
• •Programming experience with Python, C#, Java or equivalent languages.
• •Experience with SQL, relational databases and data manipulation.
• •Experience developing data visualization and analytical applications using Power BI, Tableau or equivalent platforms.
• •Understanding of software development methodologies and the software development lifecycle.
• •Experience developing technical documentation, including requirements specifications, design documentation, test plans and verification and validation records.
• •Strong analytical, mathematical problem-solving and critical-thinking capabilities.
• •Ability to communicate technical concepts and analytical findings to technical and non-technical stakeholders.
• •Hands-on, technically curious individual who combines software development skills with strong analytical thinking and a passion for solving complex engineering problems.
• •Be a solution developer: enjoy designing, coding, building and implementing digital solutions rather than focusing exclusively on reporting or analysis.
• •Think analytically: understand complex processes, evaluate alternatives and apply mathematical and computational approaches to solve problems.
• •Understand engineering challenges: ability to engage with engineers and translate real-world challenges into digital applications and analytical models.
• •Embrace uncertainty: comfortable working with incomplete information, evolving requirements and complex technical challenges associated with FOAK projects.
• •Be innovative: demonstrate initiative and curiosity in exploring new technologies, tools and