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Richland, Washington, United States of America
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.
Location
Richland, Washington, United States of America
Job Type
Full time
Ref
R-171089
Salary range
-
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 approaches.
- Focus on outcomes: understand how digital solutions can deliver measurable improvements in safety, risk reduction, productivity, cost and schedule performance.
- Collaborate effectively: work across multidisciplinary teams and communicate technical findings and recommendations clearly.
Preferred Qualifications & Experience
Simulation & Optimization
- 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 modelling.
Data & Advanced Analytics
- Experience with advanced data analytics, statistical modelling 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.
Nuclear & Engineering
- 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 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.
- Must be a U.S. citizen in order to be considered.
Why choose AtkinsRéalis?
Wherever you are in your career – and whoever you are – AtkinsRéalis is for you. Here, support and collaboration are a vibrant part of a culture that lets you choose where – and how far – your career can go. Take on projects that push boundaries and drive sustainable impact, surrounded by colleagues who believe there's no limit to how brilliant you can be. It's time to join a like-minded team where you'll be rewarded, supported, and free to be your kind of brilliant.
Rewards & benefits
At AtkinsRéalis, our values—Safety, Integrity, Collaboration, Innovation, and Excellence—are more than just words. They are the foundation of who we are and how we work. These principles shape our culture, guide our decisions, and inspire us to create an environment where every team member feels empowered to grow, succeed, and make a meaningful impact.
Depending on your employment status, AtkinsRéalis benefits may include medical, dental, vision, company-paid life and short- and long-term disability benefits, employer-matched 401(k) with 100% vesting, employee stock purchase plan, Paid Time Off, leaves of absences options, flexible work options, recognition and employee satisfaction programs, employee assistance program, and voluntary benefits. You can review our comprehensive benefits page here.
Make it brilliant, a career with AtkinsRéalis
Our supportive, collaborative culture inspires us as a global community every day.
Watch this short film and imagine what you could achieve here, too.
About AtkinsRéalis
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.
Additional information
Expected compensation range is between $79,000-$132,000 annually depending on skills, experience, and geographical location.
Are you ready to expand your career with us? Apply today and help us shape something extraordinary.
AtkinsRéalis is an equal opportunity, Drug-Free employer EOE/Veteran/Disability
Please review AtkinsRéalis' Equal Opportunity Statement here.
AtkinsRéalis cares about your privacy and is committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use and transfer your Personal Data. By submitting your personal information to AtkinsRéalis, you confirm that you have read and accept our Privacy Notice.
Unless expressly authorized by AtkinsRéalis, candidates may not use generative artificial intelligence tools, real-time interview coaching applications, or AI-generated responses created during the interview. Candidates are expected to accurately represent their qualifications, experience, knowledge, and abilities throughout the recruitment process. The use of unauthorized assistance, misrepresentation of credentials or experience, or any conduct that compromises the integrity of the selection process may result in disqualification from further consideration or withdrawal of an employment offer, at the discretion of AtkinsRéalis.
AtkinsRéalis is committed to providing reasonable accommodations to qualified individuals with disabilities. If you require an accommodation to participate in the application, interview, or selection process, please contact us at [email protected]. Requests for accommodation will be considered in accordance with applicable law.
Note to staffing and direct hire agencies:
In the event a recruiter or agency who is not on our preferred supplier list submits a resume/candidate to anyone in the company, AtkinsRéalis family of companies, we explicitly reserve the right to recruit and hire the candidate(s) at our discretion and without any financial obligation to the recruiter or agency. https://careers.atkinsrealis.com/recruitment-agencies
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