1

Computational Intelligence Jobs (NOW HIRING)

WI · On-site

$100 - $125/hr

Using robotics, computational design, and AI, our systems turn today's e-waste into resilient, data ... A core part of what makes Molg's systems work is spatial intelligence: the ability to understand ...

$125 - $150/hr

The opportunity Sciotex is seeking a PhD-level Computational Physicist / Computer Vision Algorithm ... Small ambitious company environment with a lot of intellectual freedom. Please Note: Sciotex is not ...

Showing results 21-40

Computational Intelligence information

See salary details

$11K

$100.6K

$133K

How much do computational intelligence jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computational intelligence in the United States is $100,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is computational intelligence?

Computational intelligence is a field of artificial intelligence that focuses on developing algorithms and systems that can learn, adapt, and solve complex problems without explicit human programming. It typically includes techniques such as neural networks, fuzzy systems, evolutionary computation, and swarm intelligence. These methods are inspired by natural processes and are used in various applications like pattern recognition, optimization, and data analysis. Computational intelligence is widely used in industries ranging from finance to robotics.

What are the key skills and qualifications needed to thrive as a computational intelligence specialist?

A Computational Intelligence Specialist typically requires strong expertise in mathematics, programming (often Python or MATLAB), and a solid background in areas like machine learning, neural networks, and evolutionary algorithms, usually supported by a degree in computer science or a related field. Familiarity with technical tools such as TensorFlow, PyTorch, MATLAB, and data processing platforms is essential, along with relevant certifications or specialized coursework. Analytical thinking, creativity, and effective problem-solving abilities help professionals excel in developing innovative solutions and collaborating with multidisciplinary teams. These skills are vital for designing intelligent systems that can tackle complex, real-world problems efficiently and accurately.

What are some common challenges faced by professionals working in computational intelligence, and how can they be addressed?

Professionals in Computational Intelligence often encounter challenges such as handling large and complex datasets, ensuring the interpretability of models, and keeping up with rapid advancements in algorithms and technology. Addressing these requires strong collaboration with domain experts, continuous learning through research and professional development, and applying best practices in data management and model validation. Effective teamwork and clear communication are essential, as projects frequently involve cross-functional teams including data scientists, engineers, and stakeholders from various disciplines.

What is the difference between Computational Intelligence vs Data Scientist?

AspectComputational IntelligenceData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learning, neural networksDegree in Statistics, Computer Science, or related fields; expertise in data analysis, programming
Work EnvironmentResearch labs, AI development teams, academiaBusiness environments, analytics teams, tech companies
Industry UsageAI research, pattern recognition, optimization problemsData analysis, predictive modeling, business insights

Computational Intelligence focuses on developing algorithms that mimic human decision-making and problem-solving, often in research or AI development settings. Data Scientists analyze large datasets to extract actionable insights for business decisions. While both roles require programming and analytical skills, Computational Intelligence emphasizes AI algorithm creation, whereas Data Scientists focus on data analysis and visualization.

More about Computational Intelligence jobs

What are popular job titles for Computational Intelligence?

Popular job titles for Computational Intelligence:

Infographic showing various Computational Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.

Chief Computational Scientist

Idaho Falls, ID • On-site

$200 - $250/hr

Other

Posted 5 days ago


Job description

We are looking for a Chief Computational Scientist for the Scientific Computing and AI (SCAI) division within NS&T. This is a senior level leadership role reporting to the SCAI division director. This role is responsible for leading research and applied engineering strategies that combine high-performance computing, scientific and engineering software, AI, and agentic systems to accelerate nuclear energy innovation, strengthen national mission programs, and expand INL’s scientific impact.

The Chief Computational Scientist provides strategic and technical leadership for computational science, artificial intelligence, research, and applied engineering excellence across the organization. Proactively mentor research and development (R&D) and applied scientific and engineering (AS&E) staff, design and implement R&D/AS&E strategies, advance high-impact research outputs, foster intellectual property development, strengthen university partnerships, and facilitate collaboration across INL.

Lead the advancement of AI and agentic AI capabilities, including multi-agent orchestration, tool-use frameworks, and the integration of INL’s scientific and engineering codes, computational models, data resources, and experimental capabilities into secure and reliable agentic workflows. Guide the application of these technologies to accelerate nuclear energy research, scientific discovery, engineering analysis, and national mission program execution.

Most of this position is direct funded and the successful candidate is expected to capture and sustain funding for their research portfolio through competitive proposals to DOE program offices, Laboratory Directed Research and Development (LDRD), and other opportunities with federal and industry sponsors.

Essential Job Functions and Responsibilities: Technical Research and Development:
  • Develop, implement, and optimize AI models, workflows, and computational tools for research in nuclear energy, materials, autonomous laboratories, and national security.
  • Leverage DOE’s high-performance computing infrastructure and unique datasets to accelerate R&D workflows.
  • Participate in the Genesis Mission Consortium, contributing to working groups focused on AI model development, data integration, and cloud infrastructure.
  • Capture direct funding to support research activities by developing and leading competitive proposals to DOE programs, LDRD, and other sponsors.
Organization Strategy:
  • Establish a strategic vision for computational science and AI within the division that advances INL’s leadership in nuclear energy research and national mission applications.
  • Identify opportunities to use agentic AI to connect scientific codes, simulation environments, experimental data, knowledge systems, and research tools while maintaining appropriate technical controls and human oversight.
  • Work with R&D and AS&E staff to develop plans for deploying new strategic research capabilities, including AI platforms, computational infrastructure, scientific software, and integrated agentic workflows.
  • Evaluate emerging computational and AI technologies for scientific value, technical readiness, mission relevance, risk, and responsible adoption.
Conduct of Research
  • Establish expectations for the rigorous development, testing, evaluation, documentation, and reproducibility of computational and AI-enabled R&D and AS&E.
  • Promote responsible AI practices appropriate for scientific, engineering, nuclear energy, and national mission applications.
  • Propose and implement improvements to proposal-development processes in coordination with lead relationship managers and the organization proposal coordinator.
  • Encourage concepts that responsibly apply advanced computing, AI, and agentic workflows to significant scientific and engineering challenges.
  • Participate substantively in preproposal and proposal reviews.
  • Collaborate with key stakeholders including universities, industry, other national laboratories, and federal partners to advance AI-enabled science, agentic research systems, computational methods, and workforce development.
  • Engage industry partners and prospective partners to inform R&D priorities, coordinating activities with the organization industry liaison, where applicable.
Communication of Organization Capabilities and Accomplishments
  • Communicate the organization’s capabilities in computational science, AI, agentic systems, and scientific software to technical and nontechnical audiences.
  • Represent the division’s computational science and AI capabilities to federal sponsors, universities, industry, other national laboratories, and external research organizations.
  • Exemplify the INL values and NS&T norms to help build and maintain an engaging, high-performing culture.
Staff Career Advancement
  • Mentor researchers working in computational science, AI, agentic systems, scientific software, and related technical disciplines.
  • Help develop multidisciplinary teams that combine expertise in computer science, applied mathematics, software engineering, nuclear science, engineering, and other mission domains.
Required:
  • Level 5: Advanced degree in engineering, science, or related technical discipline and 8 years of relevant experience.
  • Level 6: Advanced degree in engineering, science, or related technical discipline and 12 years of relevant experience
  • The ability to obtain and maintain a DOE level “Q” security clearance, which requires U.S. Citizenship.
Physical Requirements:

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job-related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people are required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Working Conditions:

The work environment is an office environment. The noise level is generally moderate. The position typically works alone, may have irregular hours, and works longer than 8 hours/day.

Job Information:

Idaho National Laboratory is hiring a Chief Computational Scientist to work on our Scientific Computing and Artificial Intelligence team. Our team works a 9x80 schedule located out of our Collaborative Computing Center facility in Idaho Falls with every other Friday off.

  • The pay range for this position is Level 5: $137,076 - $281,196/Level 6: $164,592 - $337,428. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
  • TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.
#J-18808-Ljbffr