Qureos Mentor

Oak Ridge National Laboratory

<div>Requisition Id 16100 
Overview:
The Stable Isotope Enrichment Group is seeking a Staff Technician who will focus on operations and development associated with the enrichment of stable isotopes. This position is part of the Enrichment Science and Engineering Division and serves the nation by advancing enrichment technologies and providing enriched stable isotopes products. We lead the science and production process development for delivering stable isotopes for medical, industrial, and DOE mission critical applications. As part of our team, you will work closely with a focused group of scientists, engineers, and technicians on challenging, fast-paced technical projects and operations in support of the DOE Isotope Program, and specifically associated with the rapidly growing field of stable isotope enrichment. 
Major Duties/Responsibilities:<ul><li>
Operation of complex systems used for the enrichment of stable isotopes</li><li>
Participation in research and development activities associated with advanced technologies including electromagnetic isotope separation</li><li>
Participate in research activities utilizing Operating Instructions, Experimental Plans, or other required documentation</li><li>
Assembly, disassembly, and troubleshooting of research equipment</li><li>
Research equipment servicing/maintenance</li><li>
Document research activities utilizing Task Forms, Change Requests, Operations Logs</li><li>
Support management of spare parts inventories</li><li>
Shift work will be required to support 24/7 operations</li><li>
Ensure compliance with environment, safety, health and quality program requirements</li><li>
Demonstrate dedication to strong teaming and a positive culture within the organization</li></ul> 
 Basic Qualifications:<ul><li>
AS degree in Chemical, Mechanical, or Electrical Engineering Technology or a related technical discipline with a minimum of 5 years of technical experience in a research environment. A comparable combination of education and experience will be considered.</li><li>
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.</li></ul> 
Preferred Qualifications:<ul><li>
Excellent written and oral communication skills</li><li>
Mechanical and electrical aptitude and experience</li><li>
Basic knowledge of working with chemicals</li><li>
Experience with vacuum systems, ion sources, plasma system, and control systems a plus</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the Laboratory</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs</li></ul> 
Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer. 
Visa sponsorship is not available for this position. 
This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license. 
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. 
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov. 
#LI-DC1
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Stable Isotope Research Technician

<div>Requisition Id 15670 
Overview:
We&rsquo;re hiring an AI Developer having AI/ML development and deployment skills! The position and its focus are to design, develop and move to production AI/ML tools and analytics that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. 
Major Duties/Responsibilities:<ul><li>
Development and support of models utilizing AI/ML and Microsoft Azure related Power apps, including CoPilot Studio.</li><li>
Collaboration with business and scientific/technical stakeholders to understand needs and gather detailed actionable requirements.</li><li>
Analysis of emerging trends and technologies to provide recommendations for roadmaps and AI strategy. This includes Generative AI and ML techniques and solution methods. LLM/GPT CI/CD pipelines and diagnostic monitoring for clients or set up for client self-monitoring.</li><li>
Ethical and responsible use of AI in line with ORNL policy and guidelines.</li><li>
Collaboration with other DOE labs and private sector companies to understand and mature ORNL capabilities.</li><li>
Become the Go-To DOE lab for AI/ML best practices across lab domains.</li><li>
Adherence to ORNL and ITSD software quality assurance standards and ITIL effective practices.</li><li>
Support of and adherence to ORNL and ITSD project management requirements and Guidance for Researchers and general users of AI models within ORNL guidelines.</li><li>
Deliver ORNL&rsquo;s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace &ndash; in how we treat one another, work together, and measure success.</li></ul> 
Basic Qualifications:<ul><li>
A BS in computer science, data science, artificial intelligence, business analytics management, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years of aligned experience, with the last 2-3 three years in the AI/ML arena, is required for consideration An overall combination of equivalent experience may be considered.<ul><li>
Masters and PhD degree holders in the same fields of study are also encouraged to apply:<ul><li>
Masters&rsquo; holders should have seven (7) to ten (10) years of aligned experience with the last 2-3 three years in the AI/ML arena.</li><li>
PhD holders should have four (4) to six (6) years of relevant and aligned experinece with the last 2-3 three years in the AI/ML arena.</li></ul></li></ul></li></ul><ul><li>
Prior demonstrated AI/ML development and deployment in independent cloud and on-premise environments including requirements gathering, design, and deployment of reporting solutions.</li><li>
The candidate must demonstrate:<ul><li>
experience creating AI solutions like Azure AI Foundry, MS Azure Open AI Studio, Azure SQL, and Open Source LLMs like Meta's LLama family.</li><li>
experience with Microsoft CoPilot, OpenAI tools and API&rsquo;s for GPT creation, Hugging Face, LangChain, Large Language Models, Generative AI or similar tools.</li><li>
a deeply curious approach toward novel development, planning, support, design, modification and testing of data warehouse cubes, models, dimensions, measures, views and reports,</li><li>
being a results-motivated, curious, self-starter who is comfortable working in a project-based environment,</li><li>
the attitude of an analytical doer that creatively problem solves through innovation as work demands</li><li>
excellent relational client-facing skills, effective exploratory analytical thinking, and attention to detail,</li><li>
a strong emphasis in delighting customer and end-user needs.</li></ul></li></ul> 
Preferred Qualifications:<ul><li>
Active DOE Q clearance.</li><li>
Understanding of multidimensional and tabular modelling, vector databases, Graph DB.</li><li>
Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow.</li><li>
Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data Analytic tools including using and teaching low code-no code skills to others.</li><li>
Knowledge of current ORNL business processes and applications (or similar) is a bonus.</li><li>
Knowledge of Microsoft SharePoint technologies is a bonus.</li></ul> 
Special Requirements:<ul><li>
Visa sponsorship is not available for this position.</li><li>
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.</li></ul> 
Hybrid Eligibility:
This position is located in Oak Ridge, Tennessee and requires onsite presence. We offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position, which provides flexibility to work periodically from your home, while reporting onsite to the Oak Ridge, Tennessee location on a weekly and regular basis. 
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain dedicated people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 
Having difficulty using the online application system or need an accommodation to apply due to a disability? Please email: ORNLRecruiting@ornl.gov. 
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Senior Artificial Intelligence Software Engineer (Hybrid Eligible)

<div>Requisition Id 16104
Overview:
The Quantum Heterostructures Group is seeking outstanding candidates for a postdoctoral position in quantum information science. You will conduct experimental research at the intersection of quantum information science and fundamental materials science focused on understanding the coherent dynamics of optically accessible spins in bulk and van der Waals materials in the presence of controlled spin baths. The candidate will measure and manipulate single- and ensemble-spin defects at temperatures of 50 mK-350 K and at fields of up to 15 T with a particular emphasis on controlling coherent spin-spin interactions. In addition, the ideal candidate will develop new quantum sensing protocols leveraging coherent spin dynamics in high-field and low temperature environments. You will collaborate closely with an interdisciplinary team with expertise in quantum sensing, quantum optics, materials synthesis and processing, and condensed matter theory. This position resides in the Quantum Heterostructures Group, Materials Science and Technology (MST) Division, Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). 
Major Duties/Responsibilities:
<ul><li>Development of new protocols to control coherent spin dynamics for optically accessible spin defects.</li><li>
Enable new spin-based quantum sensing protocols in low temperature and high field environments.</li><li>
Maintain and perform research with cryogenic microscopes.</li><li>
Present and report research results and publish scientific results in peer-reviewed journals in a timely fashion.</li><li>
Ensure compliance with environment, safety, health, and quality program requirements.</li><li>
Maintain strong dedication to the implementation and perpetuation of values and ethics.</li><li>
Work with others to maintain a high level of scientific productivity.</li><li>
Deliver ORNL&rsquo;s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace &ndash; in how we treat one another, work together, and measure success.</li></ul> 
Basic Qualifications:<ul><li>
A PhD in quantum science, physics, materials science, or a related field completed within the last 5 years.</li><li>
Previous research experience in quantum sensing, quantum photonics, cryogenic spectroscopies, or nanophotonics.</li></ul> 
Preferred Qualifications:<ul><li>
Experience with spin-based quantum sensors.</li><li>
Experience with dilution refrigeration.</li><li>
Experience with microwave electronics.</li><li>
Experience processing van der Waals materials and heterostructures.</li><li>
Strong programming and data visualization skills.</li><li>
A strong record of productive and creative research proven by publications in peer-reviewed journals and presentations at major conferences.</li><li>
Excellent written and oral communication skills.</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.</li></ul> 
Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. 
 
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. 
 
For foreign national candidates: 
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. 
Postdocs:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. 
Letters of Recommendation:
Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line. 
Instructions to upload documents to your candidate profile:<ul><li>
Login to your account via jobs.ornl.gov</li><li>
View Profile</li><li>
Under the My Documents section, select Add a Document</li></ul> 
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. 
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Postdoctoral Research Associate- Coherent Control of Optically Accessible Spins

<div>Requisition Id 16099 
Overview:
We are seeking a Mechanical Automation Engineer who will focus on implement advancements in design, testing, and commissioning of equipment and infrastructure for nuclear materials handling, with special emphasis on manufacturing science and automation technology. This position resides in the Radioisotope Infrastructure Development Group in the Radioisotope Production Engineering and Analysis Section, Radioisotope Science and Technology Division, Isotope Science and Enrichment Directorate at Oak Ridge National Laboratory (ORNL). 
You will be working with scientists, engineers, and technicians to design equipment to support a large range of technical areas. Including, chemical processing, radiation detection, specialty scientific equipment, and mechanical fabrication with nuclear materials. You will support new and existing equipment and programs. The work is performed under exacting quality specifications and with the adherence to conduct of operations in nuclear facilities, requiring good team dynamics and efficiency to meet tight schedules. We are seeking a team member who can be a team player with excellent attention to detail. 
Major Duties/Responsibilities:<ul><li>
Performs and analyzes routine to moderately complex engineering functions, applying mathematical, physical science, and engineering technologies.</li><li>
Develop complex electro-mechanical equipment and systems designs, including specialized equipment to be deployed in radiological gloveboxes and hot cells.</li><li>
Perform hands-on support in assembling, testing, integrating, and troubleshooting process/production equipment for new and enduring remote operations with radioactive materials within hot cells, and gloveboxes at REDC and other facilities.</li><li>
Lead the development of and review of custom electromechanical designs for new and replacement equipment including requirements determination, equipment selection, calculations, installation instructions / specifications, post-modification testing and commissioning procedures, etc. to satisfy the applicable design requirements.</li><li>
Develops test procedures and performs routine to moderately complex engineering evaluation tests, product and process capability studies, quality audits, product or project data reviews, and other engineering evaluation work to assure product manufacturability.</li><li>
As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity</li></ul> 
Basic Qualifications:<ul><li>
BS degree in Mechanical Engineering or related field from an ABET accredited institution/program.</li><li>
0-2 years of experience working in a fast-paced research and development environment.</li><li>
Minimum of one year of experience using CAD software (e.g., Solidworks, Inventor, Creo, Fusion360).</li><li>
Ability to obtain and maintain a DOE L clearance.</li><li>
Demonstrated ability to work both individually and as part of a diverse team.</li></ul> 
 Preferred Qualifications:<ul><li>
Demonstrated practical engineering skills through internships, co-op programs, or volunteer roles in organizations such as FIRST Robotics Competition</li><li>
Demonstrated experience in transitioning R&amp;D prototype electronics from a laboratory setting to an operational facility and/or to transferring technology from prototype design to commercial companies.</li><li>
Experience with process automation, in-process inspection, robotics, photogrammetry, and/or machine learning.</li><li>
Experience with programming with data analysis and/or automation software (e.g. C++, Fortran, Matlab, LabView, Python).</li></ul> 
Special Requirements:<ul><li>
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.</li></ul> 
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. 
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 
Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.
#LI-DC1
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Mechanical Automation Engineer

<div>Requisition Id 16090 
Overview:
We are seeking a Geospatial Software Engineer. This position resides in the Remote Sensing and Environmental Informatics Group in the Earth System Informatics and Data Discovery Section, Environmental Sciences Division, Biological and Environmental Systems Science Directorate, at Oak Ridge National Laboratory (ORNL). 
Major Duties/Responsibilities:
<ul><li>Full stack software development utilizing React and Flask frameworks to enable the discovery, analysis, visualization, and downloading of geospatial data.</li><li>
Configure, administer, and maintain geospatial data servers such as GeoServer and ArcGIS Enterprise.</li><li>
Manage application deployment workflows utilizing Docker.</li><li>
Design database tables and integrate new datasets into existing database models.</li><li>
Use Python to process large environmental datasets for use in geospatial web applications.</li><li>
Collaborate with research scientists and stakeholders to integrate existing statistical models into application code and develop new features as defined by project objectives.</li><li>
Deliver ORNL&rsquo;s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace &ndash; in how we treat one another, work together, and measure success.</li></ul> 
Basic Qualifications:<ul><li>
B.S. or M.S. in geographic information science, computer science, hydrology, ecology or a related field with a minimum of two years of experience (B.S.) or one year of relevant experience (M.S.).</li><li>
A minimum of two years of practical experience as a full-stack software developer working with Earth science-related applications, including experience working with at least one front end geospatial package such as OpenLayers, Leaflet, Mapbox GL JS, etc. Experience working with hydrology or ecology-related applications and data is particularly preferred.</li><li>
Practical experience in two or more of the following languages: TypeScript, Javascript, Python, or SQL.</li><li>
Practical experience working with geospatial databases, such as PostgreSQL + PostGIS.</li><li>
Practical experience working with geospatial data servers such as ArcGIS Enterprise or GeoServer. GeoServer experience is particularly preferred.</li><li>
Practical experience working within a version control system during the software development lifecycle, such as GitHub or GitLab.</li><li>
Demonstrated experience working in a team software development environment, contributing to shared goals.</li><li>
Excellent communication skills, including writing documentation, developing and analyzing use cases, and presenting results to colleagues.</li><li>
Demonstrated ability to learn new material and technology rapidly and put that learning into effective practice.</li><li>
Demonstrated ability to problem-solve and debug application code independently.</li></ul> 
Preferred Qualifications:<ul><li>
Experience implementing a REST Application Program Interface, particularly using Flask or Python-based frameworks.</li><li>
Experience working with hydrology or ecology-related applications and data.</li><li>
Experience developing user interfaces with React, particularly for web mapping applications.</li><li>
Experience consuming or delivering data through geospatial web services, such as the Open Geospatial Consortium (OGC) Web Mapping Service (WMS) or Web Feature Service (WFS) protocols</li><li>
Experience pertaining to DevOps and software deployment methodologies.</li><li>
Practical experience with processing large datasets, particularly in technical formats such as NetCDF or HDF5.</li><li>
Experience administering and publishing or consuming services from spatial data servers, particularly as it pertains to GeoServer or ArcGIS Enterprise.</li><li>
Communication and writing skills, particularly as applied to software documentation, software demonstrations, or contributions to scientific publications.</li><li>
Database design and data normalization workflows.</li><li>
Experience with developing AI/ML workflows and integrating them into software projects.</li><li>
Developing or contributing to large, complex software systems.</li><li>
Scientific data visualization and/or scientific data analysis.</li><li>
Linux command line experience.</li><li>
Formal degrees or training programs working with geospatial data and geospatial information systems.</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.</li></ul> 
Special Requirements:
Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov with the position title and number referenced in the subject line. 
Instructions to upload documents to your candidate profile:<ul><li>
Login to your account via jobs.ornl.gov</li><li>
View Profile</li><li>
Under the My Documents section, select Add a Document</li></ul> 
Special Requirements:<ul><li>
Visa sponsorship is not available for this position.</li></ul> 
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. 
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. 
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. 
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Geospatial Software Engineer

<div>Requisition Id 15937 
Overview:
We are seeking an AI Security Systems Architect to design and develop state-of-the-art systems for security testing and evaluation of artificial intelligence technologies. This role involves creating scalable infrastructure to support cutting-edge adversarial testing methodologies, such as red team vs. blue team exercises and AI-on-AI evaluation frameworks.
The ideal candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL&rsquo;s Center for AI Security Research (CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation. 
Key Responsibilities:<ul><li>
Design and Development for Security Testing<ul><li>
Architect and implement scalable systems tailored specifically for security testing and evaluation of AI systems.</li><li>
Develop frameworks to support red/blue team exercises in simulated environments, enabling manual and automated adversarial testing at scale.</li><li>
Build and integrate AI-on-AI testing infrastructures, where AI models can actively challenge each other in adversarial contexts to detect vulnerabilities or weaknesses.</li></ul></li><li>
Scalability and Cluster Computing<ul><li>
Design distributed systems that support high-throughput simulations and stress-testing of AI systems under adversarial conditions.</li><li>
Implement cluster computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads.</li><li>
Optimize resource allocation for simultaneous testing tasks and real-time tracking of security metrics.</li></ul></li><li>
Adversarial and Threat Modeling Infrastructure<ul><li>
Develop systems to automate the generation and execution of diverse adversarial testing scenarios, including techniques for perturbation, poisoning, and evasion attacks.</li><li>
Design platforms for threat modeling in AI systems, enabling comprehensive vulnerability assessments tailored to diverse use cases, from cloud-hosted models to edge deployments.</li><li>
Enable rapid prototyping and iteration for adversarial defenses integrated into the architectural design.</li></ul></li><li>
Collaboration and Security Validation<ul><li>
Work closely with security specialists, AI researchers, and DevSecOps teams to evaluate and validate the security of AI systems aligned with organizational security standards.</li><li>
Partner with stakeholders to design customized testing environments that simulate real-world attack and defense scenarios in production-like conditions.</li></ul></li><li>
Leadership and Innovation<ul><li>
Lead cross-functional initiatives focused on advancing the security testing capabilities for next-generation AI systems.</li><li>
Stay informed of emerging adversarial AI threats, testing methodologies, and scaling innovations to foster continuous improvement in security testing architectures.</li><li>
Mentor junior engineers and provide technical leadership in AI security evaluation mechanisms.</li></ul></li></ul> 
Required Qualifications<ul><li>
Master&rsquo;s Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 7-10 years of experience or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2-4 years of experience.</li><li>
Proven experience architecting and implementing complex distributed systems tailored for security testing or evaluation at scale.</li><li>
Demonstrated expertise in cluster computing and scaling for high-performance environments, with hands-on experience in frameworks such as Hadoop, Spark, or Kubernetes.</li></ul> 
Preferred Qualifications<ul><li>
Familiarity with techniques for AI-on-AI adversarial evaluation, including reinforcement learning-based adversarial testing setups.</li><li>
Expertise in designing systems that support red/blue team operations alongside DevSecOps integrations.</li><li>
Knowledge of privacy-preserving AI methods, secure federated learning, and cryptographic protections.</li><li>
Research or publication experience in adversarial testing, distributed systems, and AI system security.</li><li>
Experience in supporting continuous integration pipelines for AI security validation in production environments.</li></ul> 
Special Requirements:
<ul><li>Q clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.</li></ul> 
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. 
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

AI Security Systems Architect

Join Oak Ridge National Laboratory and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.