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Federal Ornl Jobs (NOW HIRING)

Napakiak Ventures

Electrical Engineer

Oak Ridge, TN · On-site

$135K - $170K/yr

... specializing in Federal and Commercial projects. Our company is committed to delivering high ... The HPC facilities at ORNL are the largest user of electrical power at ORNL, with over 100MW of ...

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How much do federal ornl jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for federal ornl in the United States is $48.92, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $52.88 per hour, depending on experience, location, and employer.

What is the average salary at ORNL?

The average salary for a position at Oak Ridge National Laboratory (ORNL) varies depending on the role, experience, and education level. Generally, salaries for research scientists and engineers range from $70,000 to $120,000 annually, with some specialized roles earning higher. ORNL also offers competitive benefits and opportunities for career advancement in a research-focused environment.

What are Federal ORNL jobs?

Federal ORNL jobs are positions at the Oak Ridge National Laboratory (ORNL), a multi-disciplinary research facility primarily funded by the U.S. Department of Energy. These jobs span a variety of roles including scientific research, engineering, information technology, administration, and support services. Employees at ORNL work on projects related to energy, advanced materials, neutron science, biological systems, and national security. Working at ORNL offers the opportunity to contribute to groundbreaking research that addresses national and global challenges. Most positions require U.S. citizenship and may require security clearance.

What are the key skills and qualifications needed to thrive as a Federal ORNL (Oak Ridge National Laboratory) employee, and why are they important?

To thrive as a Federal ORNL employee, you generally need a relevant advanced degree (such as in engineering, computer science, or physics), strong analytical skills, and experience in research or technical project management. Familiarity with specialized research tools, data analysis software, and security clearance processes is often required, depending on the specific position. Strong teamwork, effective communication, and problem-solving skills help individuals collaborate effectively within multidisciplinary teams. These abilities are vital to advancing scientific innovation and maintaining high standards of safety and security in a national laboratory environment.

What jobs pay 2000 a day?

Jobs at the Federal ORNL (Oak Ridge National Laboratory) that can pay around $2,000 a day typically involve high-level research, engineering, or management roles requiring advanced degrees, specialized skills, and security clearances. These positions may include senior scientists, project managers, or consultants working on complex projects with significant responsibilities and expertise. Such roles often demand extensive experience and are usually project-based or contract positions with high compensation rates.

What job makes $10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree include roles such as experienced sales managers, real estate brokers, or skilled trades like electricians and plumbers with significant experience. These positions often require strong skills, certifications, or licenses, and may involve commission, bonuses, or overtime to achieve high income levels.

How does working as a Federal ORNL employee typically involve cross-disciplinary collaboration, and what can applicants expect in terms of teamwork?

As a Federal ORNL (Oak Ridge National Laboratory) employee, you will frequently collaborate with professionals from a wide range of scientific and engineering disciplines. Most projects are team-based, bringing together experts in fields such as physics, computer science, environmental science, and nuclear engineering to tackle complex, large-scale research initiatives. Team members regularly participate in interdisciplinary meetings, share findings, and leverage each other's expertise to achieve common goals. Applicants should be comfortable working in a collaborative environment and open to learning from colleagues with diverse technical backgrounds.

How much does Oak Ridge pay?

Salaries for positions at Oak Ridge National Laboratory vary depending on the role, experience, and education level. Entry-level technical positions typically start around $50,000 to $70,000 annually, with more specialized or senior roles earning higher wages. The laboratory also offers benefits such as health insurance and retirement plans.

What is the difference between Federal ORNL vs Federal Laboratory Technician?

AspectFederal ORNLFederal Laboratory Technician
Required CredentialsBachelor's degree in science or engineering, relevant certificationsHigh school diploma or equivalent, technical certifications often preferred
Work EnvironmentResearch labs, scientific facilities within Oak Ridge National LaboratoryLaboratory settings, supporting research and experimental activities
Employer & IndustryU.S. Department of Energy, national research labsFederal agencies, national labs, research institutions

Federal ORNL roles typically require a bachelor's degree and involve conducting advanced scientific research, while Federal Laboratory Technicians often have a high school diploma and support laboratory operations. Both positions are within federal research environments but differ in educational requirements and job responsibilities.

What cities are hiring for Federal Ornl jobs? Cities with the most Federal Ornl job openings:
What job categories do people searching Federal Ornl jobs look for? The top searched job categories for Federal Ornl jobs are:
Director - Scientific AI R&D

Director - Scientific AI R&D

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Posted 10 days ago

Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories

Job description

Requisition Id 16430
Overview:
Oak Ridge National Laboratory (ORNL) is seeking a visionary Director of AI Foundations for Science to lead the laboratory's strategic direction and execution at the intersection of artificial intelligence, high-performance computing, and scientific discovery.
As the Department of Energy's largest science and energy laboratory, ORNL delivers breakthrough capabilities in computing, neutron science, materials, energy, and national security.
This role will define and drive the next generation of AI-enabled scientific discovery, building on ORNL's leadership in exascale computing and emerging sovereign AI infrastructure for science.
This position will report to the Associate Lab Director of Computing and Computational Sciences Directorate and will play a central role in shaping laboratory-wide and national strategies for AI-driven science and engineering.
Major Duties/Responsibilities:
Strategic Leadership
  • Define and execute ORNL's strategy for AI as a foundational scientific capability, focusing on the co-evolution of algorithms, models, data, and computing architectures.
  • Establish R&D priorities across:
    • AI foundation models trained on scientific and simulation data at scale
    • Mathematical foundations of scientific AI
    • Physics-informed and hybrid AI (AI + simulation + experimental data fusion)
    • AI-HPC co-design, including new programming models and system architectures
  • Serve as the laboratory's focal point for AI innovation at the frontier of computation, enabling downstream application domains (energy, security, materials, biology) through shared capabilities and platforms
  • Partner with other ORNL leaders to:
    • Advance agentic and autonomous discovery systems tightly coupled to instruments and facilities
    • Advance data-centric and multimodal AI pipelines for scientific workflows
    • Drive integration of AI into major user facilities, instruments, and simulation environments
  • Position ORNL as the global leader in integrated AI + HPC + experimental science ecosystems

Research & Program Development
  • Lead and grow world-class, multidisciplinary R&D programs spanning computational science, applied AI, and domain science
  • Shape and advance a research portfolio that integrates foundational applied mathematics, computer science, and trustworthy AI to support scientific AI and computational discovery.
  • Identify and scale high-impact flagship initiatives demonstrating end-to-end AI-enabled scientific workflows

Partnerships & External Engagement
  • Build and lead strategic partnerships with:
    • Industry (hyperscalers, AI companies, semiconductor firms)
    • Universities and academic consortia
    • Other DOE laboratories and federal agencies
  • Expand industrial engagement and co-development programs, including joint AI platforms and applied science use cases
  • Represent ORNL in national and international AI strategy forums
  • Work in close partnership with AI and autonomous science leaders across ORNL scientific domains, Applied Energy Sciences and National Security to translate foundational AI advances into mission impact, while maintaining a clear separation between capability creation and mission deployment

Modernization & Transformation
  • Drive modernization of scientific workflows through:
    • AI-native software ecosystems
    • Data-centric architectures and platforms
    • Agentic and autonomous laboratory capabilities
  • Support ORNL in adoption of AI to transform laboratory operations, including proposal development, safety, and facility optimization
  • Advance ORNL toward a fully integrated physical-digital laboratory model

Organizational Leadership
  • Build, mentor, and lead high-performing teams across AI, computing, and domain science
  • Foster a culture of mission impact, collaboration, and urgency in a rapidly evolving global landscape
  • Partner across directorates to ensure cross-cutting integration of AI capabilities

Basic Qualifications:
  • Ph.D. in a relevant STEM discipline, including but not limited to Computer Science, Applied Mathematics, Engineering, or a related field.
  • 15+ years of experience beyond Ph.D. in AI, computational science, or related fields
  • Demonstrated leadership of large-scale R&D programs and multidisciplinary teams
  • Internationally recognized expertise in one or more areas:
    • Machine learning / AI
    • Scientific computing / HPC
    • Data-intensive science
  • Strong track record of securing and managing major research programs or partnerships

Preferred Qualifications:
  • Experience operating at the intersection of AI, HPC, and scientific domains (e.g., materials, biology, energy, physics)
  • Proven ability to build public-private partnerships at scale
  • Experience with DOE, national laboratory, or comparable mission-driven environments
  • Vision for AI-driven transformation of science and engineering workflows
  • Demonstrated success influencing national or institutional strategy

Why ORNL?
  • Home to leadership-class computing and emerging AI infrastructure
  • Unmatched integration of experimental facilities, computing, and data ecosystems
  • Mission-driven environment addressing the nation's most critical challenges
  • Opportunity to define the future of AI-enabled science at national scale

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.

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