US - New Mexico - Albuquerque
February 2, 2025
About Sandia:
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: / sandia. gov*These benefits vary by job classification.
What Your Job Will Be Like:
We are seeking an R&D Computer Scientist to join the Z Machine Application Solutions team. In this role, you will leverage your expertise as a full-stack . NET web developer to analyze, architect, develop, and deploy innovative web applications that support the operation of Sandia's Z Machine facility. You will work with the team to advance their technical stack and their DevOps processes. You will also play a pivotal role in advancing our AI/ML initiatives by helping to design and implement the necessary architecture and infrastructure to enable effective data consumption by AI/ML tools. This position requires highly effective collaboration with a diverse set of multidisciplinary personnel within the organization, the Z Operations group (1670), and the 1600 Pulsed Power Sciences center. The ability to synthesize complex problems, navigate ambiguity, and adapt to emergent issues in a fast-paced environment is key to this position.
On any given day, you may be called on to:
Analyze, design, develop, and deploy full-stack . NET web applications to support the diverse Z Machine community.
Contribute to the design and implementation of AI/ML solutions, including developing data architectures and APIs, data preprocessing, model training, and deployment.
Maintain and implement improvements to existing software solutions and processes.
Research, develop, and implement technical and process improvements to the team's development practices (e. g. , technical stack, DevOps pipeline, testing frameworks, agile methodologies).
Collaborate with multidisciplinary teams to provide insights and best practices for system design and data organization.
Deploy and support hardware devices as needed to enhance Z Operations (e. g. , tablets, kiosks, information displays).
React quickly to troubleshoot and solve problems that impact the ability to operate the Z Machine.
Create reports and assemble metrics as required.
Work as a member of an agile development team.
Hybrid Work: The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
Salary Range:
$114,000 - $227,500
*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require:
Bachelor's degree in Computer Science, Management of Information Systems, Information Assurance, Computer Information Systems or a relevant field plus five years of experience; or a Master's degree in a relevant field plus one year of experience
Experience in one or more of the following:
Full-stack web development
. NET (C#) development
Relational databases
AI/ML data engineering
Ability to obtain and maintain a DOE Q clearance
Qualifications We Desire:
Current DOE Q clearance
Demonstrated ability to research, evaluate, recommend, and architect technologies and software solutions with complex requirements and a diverse set of stakeholders
Experience with multiple platforms and technologies, such as ASP. NET MVC, ASP. NET Core, Blazor, SQL Server Management Studio (SSMS), Visual Studio, or Visual Studio Code
Experience with web frameworks and technologies such as Angular, jQuery, Bootstrap, or CSS preprocessors (e. g. SASS, SCSS, LESS)
Familiarity with data engineering practices, including data ingestion, transformation, and storage solutions (e. g. , ETL processes, data lakes)
Experience with AI/ML frameworks and tools (e. g. , TensorFlow, PyTorch, Scikit-learn)
Experience developing and deploying machine learning models in production environments.
Experience utilizing and administering Microsoft SQL Server databases
Experience with data visualization solutions such as Power BI, Tableau or SQL Server Reporting Services (SSRS)
Familiarity with DevOps practices and tools (e. g. Azure DevOps, CI/CD pipelines, containerization)
Experience working on an agile team or in an agile or iterative environment
About Our Team:
The Z Data Management & Insights department, org. 1678, provides Information Technology and Operational Technology infrastructure, products, and services for the Z Machine enterprise in the Pulsed Power Sciences center, center 1600. Additionally, the department is tasked with developing and implementing data management strategies for Z facility data, including facilitating the implementation of Artificial Intelligence (AI) and Machine Learning (ML) solutions using Z data. This work is accomplished through collaborations with operations, engineering, science, and program teams. Solutions address quality, efficiency, safety, and security that are well-aligned to achieving, and enabling, the scientific goals of the programs performing experiments at Z. The department's teams consist of an IT infrastructure operations team, an application solutions team, a Control, Monitor and Data Acquisition (CM/DAS) team, and a web content management team. This team is part of the Radiation, Electrical and High Energy Density Science (REHEDS) Research Foundation at Sandia.
Posting Duration:
This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance:
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to .
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