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AtkinsRéalis

Engineering services for infrastructure and energy

Digital Solutions Engineer Energy

Software EngineeringPosted on Nov 9
Full-timeRichland, WA, USA$79k - $132k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Data Science, Applied Mathematics, Engineering, Operations Research, or a related discipline is required.
  • Three years of experience developing software applications, digital solutions, or analytical tools are required.
  • Programming experience with Python, C#, Java, or equivalent languages is required.
  • Experience with SQL, relational databases, and data manipulation is required.
  • Experience developing data visualization and analytical applications using Power BI, Tableau, or equivalent platforms is required.
  • Understanding of software development methodologies and the software development lifecycle is required.
  • Experience developing technical documentation, including requirements specifications, design documentation, test plans, and verification and validation records, is required.
  • Strong analytical, mathematical problem-solving, and critical-thinking capabilities are required.
  • The candidate must be able to communicate technical concepts and analytical findings to technical and non-technical stakeholders.
  • The candidate must be a U.S. citizen to be considered.

Responsibilities

  • Develop and deliver advanced digital solutions supporting the design, construction, commissioning, and operation of complex nuclear facilities.
  • Transform engineering and operational data into actionable insights to support informed decisions, especially for first-of-a-kind nuclear facilities.
  • Develop digital tools and analytical solutions to identify and mitigate risks, evaluate alternatives, optimize processes, predict constraints, and improve project outcomes.
  • Design, develop, and implement software applications and reusable digital tools for engineering, project delivery, and operational challenges.
  • Develop software using programming languages such as Python, C#, Java, and SQL.
  • Design and implement data-driven applications integrating information from engineering, project, and operational systems.
  • Develop prototypes and proof-of-concept solutions to demonstrate digital technology value.
  • Apply software engineering principles, modular design, version control, and development best practices.
  • Collaborate with engineering specialists to translate technical challenges into practical digital solutions.
  • Develop discrete-event and process-simulation models representing facility operations, construction activities, and engineering processes.
  • Apply Operations Research, mathematical modeling, and optimization techniques to evaluate alternatives and improve system performance.
  • Develop models to identify process bottlenecks, capacity constraints, resource limitations, and operational risks.
  • Perform what-if and scenario analyses to evaluate 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 first-of-a-kind nuclear facility development.
  • Translate simulation outputs and analytical results into practical recommendations for engineering and project leadership.
  • Develop data-driven solutions that turn complex engineering and operational information into actionable insights.
  • Design and develop interactive dashboards, reporting applications, and data visualization tools using Microsoft Power BI, Tableau, or equivalent technologies.
  • Develop data models, data integration processes, and automated analytical workflows.
  • Work with structured and unstructured data from engineering, construction, scheduling, and operational systems.
  • Establish key performance indicators, 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 opportunities to apply artificial intelligence, machine learning, and advanced analytics to nuclear engineering and project delivery challenges.
  • Develop predictive models to identify potential risks, constraints, and performance issues.
  • Explore 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 Digital Technology team to integrate artificial intelligence and machine learning capabilities into digital solutions and workflows.
  • Develop and maintain software lifecycle documentation in accordance with applicable 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 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 business challenges and identify digital improvement opportunities.
  • Collaborate across the Digital Technology organization with simulation, Operations Research, immersive technology, reality capture, and artificial intelligence and machine learning specialists.
  • Contribute to developing and implementing 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.

Desired Qualifications

  • Experience developing discrete-event simulation, process simulation, or mathematical models.
  • Experience with simulation software such as Witness, Simio, AnyLogic, Arena, or 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.

About the Company

AtkinsRéalis

Engineering services for infrastructure and energy

AtkinsRéalis provides engineering services for infrastructure and nuclear projects, connecting people, data, and technology to plan, design, build, and manage systems worldwide. It delivers integrated services through consulting, design, engineering, and project management, using a global team and data-driven collaboration to move projects from concept to commissioning. The company’s global reach and end-to-end capability across conventional engineering and nuclear sectors enable coordinated delivery across multiple disciplines. Its goal is to transform infrastructure and energy systems worldwide by delivering safe, reliable, and efficient engineering solutions.

Company size
10,001+
Company stage
Acquired
Total funding
$2.8B
Headquarters
Epsom, United Kingdom
Founded
1938

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