Digital Solutions Engineer Energy

AtkinsRéalis • Richland, WA

1d

About The Position

AtkinsRéalis is seeking a Digital Solutions Engineer to develop and deliver digital solutions for the design, construction, commissioning, and operation of complex nuclear facilities. The role combines engineering, software development, data analytics, and advanced modeling, with particular emphasis on supporting first-of-a-kind (FOAK) nuclear facilities and addressing their uncertainty, technical complexity, and evolving requirements. The engineer will build tools and analytical solutions to identify and mitigate risks, evaluate scenarios, optimize processes, anticipate constraints, and improve project outcomes.

The position involves designing and implementing software applications and reusable digital tools; developing simulation, mathematical models, and optimization solutions; building data integrations, analytics, dashboards, and predictive models; and exploring applications of AI and machine learning. The engineer will translate engineering and operational challenges into practical digital solutions and communicate analysis and recommendations to engineering and project leadership.

The role also includes requirements definition, architecture and technical documentation, traceability, testing and verification and validation, configuration and change management, and release documentation. Solutions must address applicable cybersecurity, data integrity, software quality assurance, and nuclear quality requirements. The engineer will collaborate with multidisciplinary teams across engineering, construction, commissioning, operations, and Digital Technology, and contribute to digital strategies, standards, demonstrations, workshops, and client engagements. Other duties may be assigned as required.

The position is based in Richland, Washington. Candidates must be U.S. citizens. The stated annual compensation range is $79,000–$132,000, depending on skills, experience, and geographical location.

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 producing 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 approach combining software development skills with analytical thinking and an interest in complex engineering problems.
• Ability and interest to design, code, build, and implement digital solutions, rather than focus exclusively on reporting or analysis.
• Ability to understand complex processes, evaluate alternatives, and use 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 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 communicate technical findings and recommendations clearly.
• 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 FOAK project challenges and the importance of 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 decision-making.
• Develop software using languages such as Python, C#, Java, and SQL, applying software engineering principles, modular design, version control, and development best practices.
• Design data-driven applications that integrate engineering, project, and operational information from multiple systems.
• Build prototypes and proof-of-concept solutions to demonstrate the value of digital technologies.
• Collaborate with engineering specialists to translate technical challenges into practical digital solutions.
• Develop discrete-event and process simulation models of facility operations, construction activities, and engineering processes.
• Apply operations research, mathematical modeling, and optimization to evaluate scenarios and improve system performance.
• Identify bottlenecks, capacity constraints, resource limitations, and operational risks through modeling.
• Perform what-if analysis and scenario modeling 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-stage design decisions and reduce uncertainty in FOAK nuclear facility development.
• Translate simulation outputs and analytical results into recommendations for engineering and project leadership.
• Develop data-driven solutions that turn complex engineering and operational information into actionable insights.
• Develop interactive dashboards, reporting applications, and visualization tools using Power BI, Tableau, or equivalent technologies.
• Develop data models, integration processes, and automated analytical workflows using structured and unstructured data from multiple sources.
• 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 opportunities for nuclear engineering and project delivery.
• Develop predictive models and explore machine learning, optimization algorithms, and intelligent automation for engineering and operational processes.
• Evaluate emerging technologies and develop practical applications that deliver measurable value.
• Collaborate with the Digital Technology team to integrate AI/ML capabilities into solutions and workflows.
• 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 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, to show 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 digital 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, dental, and vision benefits.
• Company-paid life insurance and 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