Digital Solutions Engineer Energy

AtkinsRéalis • Richland, WA

1d • $79,000 - $132,000

About The Position

AtkinsRéalis is seeking a Digital Solutions Engineer to join its team in Richland, Washington. The role develops and delivers digital solutions for the design, construction, commissioning, and operation of complex nuclear facilities, particularly first-of-a-kind (FOAK) projects with significant uncertainty, technical complexity, and evolving requirements. Working at the intersection of engineering, software development, data analytics, and advanced modeling, the engineer turns complex engineering and operational data into insights that support informed decisions and improved project outcomes.

The position involves designing software applications and reusable digital tools; developing simulation, mathematical modeling, and optimization solutions; creating data integrations, analytics workflows, and interactive visualizations; and exploring applications of AI, machine learning, and advanced analytics. The engineer also translates stakeholder needs into software requirements and technical designs, maintains lifecycle documentation, and develops testing and verification and validation (V&V) strategies. Solutions must address applicable cybersecurity, data integrity, software quality assurance, and nuclear quality requirements.

The engineer collaborates with engineering, construction, commissioning, and operations personnel, as well as specialists across Digital Technology. The role contributes to digital strategies, standards, demonstrations, workshops, and client engagements, and promotes effective use of data and technology across the nuclear project lifecycle. Other duties may be assigned as required. Applicants must be U.S. citizens.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Applied Mathematics, Engineering, Operations Research, or a related discipline.
• At least 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.
• Ability and interest in designing, coding, building, and implementing digital solutions.
• Ability to understand complex processes, evaluate alternatives, and apply mathematical and computational approaches to solve problems.
• Ability to engage with engineers and translate real-world challenges into digital applications and analytical models.
• Comfort working with incomplete information, evolving requirements, and complex technical challenges associated with FOAK projects.
• Initiative and curiosity in exploring new technologies, tools, and approaches.
• Ability to focus on measurable improvements in safety, risk reduction, productivity, cost, and schedule performance.
• Ability to collaborate across multidisciplinary teams and clearly communicate technical findings and recommendations.
• Must be a U.S. citizen.

Nice To Haves

• Experience developing discrete-event simulation, process simulation, or mathematical models.
• Experience with simulation software such as Witness, Simio, AnyLogic, Arena, FlexSim, or equivalent.
• Knowledge of Operations Research, mathematical optimization, scheduling, resource allocation, or system performance modeling.
• Experience with advanced data analytics, statistical modeling, and predictive analytics.
• Familiarity with machine-learning frameworks and libraries such as Scikit-learn, PyTorch, or TensorFlow.
• Experience developing automated data pipelines, APIs, and data integration solutions.
• Knowledge of cloud-based data platforms and modern data architectures.
• Experience supporting complex engineering, industrial, infrastructure, or nuclear projects.
• Familiarity with nuclear facility design, construction, commissioning, or operations.
• Understanding of first-of-a-kind project challenges and early risk identification and mitigation.
• Familiarity with nuclear quality assurance requirements, including NQA-1, and software quality assurance practices.
• Experience working with engineering data, digital twins, or connected engineering environments.

Responsibilities

• Design, develop, and implement software applications and digital solutions for engineering, project delivery, and operational challenges.
• Develop reusable digital tools and applications that improve efficiency, reduce risk, and support informed decisions.
• Develop software using languages such as Python, C#, Java, and SQL, applying modular design, version control, and software development best practices.
• Design data-driven applications that integrate information from engineering, project, and operational systems.
• Develop prototypes and proof-of-concept solutions to demonstrate potential digital technology value.
• Collaborate with engineering specialists to translate technical challenges into practical digital solutions.
• Develop discrete-event and process simulation models for facility operations, construction activities, and engineering processes.
• Apply Operations Research, mathematical modeling, and optimization to assess scenarios and improve system performance.
• Identify bottlenecks, capacity constraints, resource limitations, and operational risks through analytical models.
• Conduct what-if and scenario analyses to assess 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 modeling to support early design decisions and reduce uncertainty in FOAK facility development.
• Translate simulation outputs and analytical results into practical recommendations for engineering and project leadership.
• Develop data-driven solutions, data models, integration processes, and automated analytical workflows.
• Build interactive dashboards, reporting applications, and data visualizations using Power BI, Tableau, or equivalent technologies.
• Work with structured and unstructured data from engineering, construction, scheduling, and operational systems.
• Establish KPIs, analytical metrics, and performance monitoring capabilities.
• Apply statistical analysis, predictive analytics, and machine learning to identify trends, assess risks, and predict future performance.
• Communicate analytical findings through clear visualizations and decision-support applications.
• Identify and develop AI, machine learning, and advanced analytics applications for nuclear engineering and project delivery challenges.
• Develop predictive models and explore machine learning, optimization algorithms, and intelligent automation to improve processes.
• Evaluate emerging technologies and develop practical applications that deliver measurable value.
• Collaborate with the Digital Technology team to integrate AI and machine-learning capabilities into solutions and workflows.
• Develop and maintain software lifecycle documentation in accordance with project and quality requirements.
• Translate business, engineering, and operational needs into software requirements and functional specifications.
• Develop solution architectures, 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, to demonstrate that solutions meet 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.
• Work with engineering, construction, commissioning, and operations personnel to understand challenges and identify digital improvement opportunities.
• Collaborate across Digital Technology, including simulation, Operations Research, immersive technology, reality capture, and AI/ML specialists.
• Contribute to digital strategies, frameworks, standards, and reusable solutions.
• Support digital technology demonstrations, technical workshops, and client engagements.
• Promote innovation and effective use of data and technology throughout the nuclear project lifecycle.
• Perform other duties as required.

Benefits

• Medical benefits
• Dental benefits
• Vision benefits
• Company-paid life insurance
• Company-paid short- and long-term disability benefits
• Employer-matched 401(k) with 100% vesting
• Employee stock purchase plan
• Paid Time Off
• Leave of absence options
• Flexible work options
• Recognition and employee satisfaction programs
• Employee assistance program
• Voluntary benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level