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Grid Computing Jobs (NOW HIRING)

Lead Data Scientist

Northborough, MA · Hybrid

$153K - $180K/yr

About us National Grid is hiring a Lead Data Scientist - Data, Business Intelligence & Advanced ... SQL. * Cloud Computing. * Database management experience. * Stakeholder communication skills.

Lead Data Scientist

Waltham, MA · On-site

$153K - $180K/yr

About us National Grid is hiring a Lead Data Scientist - Data, Business Intelligence & Advanced ... SQL. * Cloud Computing. * Database management experience. * Stakeholder communication skills.

Lead Data Scientist

Waltham, MA · Hybrid

$153K - $180K/yr

About us National Grid is hiring a Lead Data Scientist - Data, Business Intelligence & Advanced ... SQL. * Cloud Computing. * Database management experience. * Stakeholder communication skills.

Showing results 21-40

Grid Computing information

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$71

$79

$86

How much do grid computing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for grid computing in the United States is $79.33, according to ZipRecruiter salary data. Most workers in this role earn between $75.72 and $82.93 per hour, depending on experience, location, and employer.

What is grid computing?

Grid computing is a distributed computing model that connects multiple computers, often geographically dispersed, to work together on complex tasks or large-scale processing. This system allows for the sharing of resources such as processing power, storage, and data across different organizations or locations. Grid computing is commonly used for scientific research, data analysis, and solving problems that require significant computational resources. By enabling resource pooling and task distribution, grid computing can significantly increase efficiency and reduce costs compared to traditional supercomputing methods.

What are some common challenges faced when working in a grid computing role, and how can they be addressed?

Professionals in Grid Computing often encounter challenges such as resource allocation, system interoperability, and managing large-scale distributed data. Addressing these issues requires strong problem-solving skills and familiarity with middleware platforms that facilitate communication between heterogeneous systems. Collaborating closely with network engineers, developers, and data scientists is essential to ensure seamless integration and optimal performance. Staying updated on emerging technologies and best practices can also help mitigate these challenges.

What are the key skills and qualifications needed to thrive as a grid computing specialist, and why are they important?

To thrive as a Grid Computing Specialist, you need a strong background in computer science, distributed systems, and network infrastructure, typically supported by a relevant degree. Familiarity with grid middleware (such as Globus Toolkit), high-performance computing clusters, and scripting languages like Python or Bash is important, and certifications in cloud or distributed computing can be advantageous. Excellent problem-solving skills, teamwork, and clear communication are crucial for collaborating across technical and research teams. These competencies ensure efficient resource management, system reliability, and successful execution of large-scale computational tasks.

What is the difference between Grid Computing vs Network Administrator?

AspectGrid ComputingNetwork Administrator
Required CredentialsTypically requires degrees in computer science, engineering, or related fields; certifications like CCNA, CompTIA Network+Same as Grid Computing: degrees in IT or related fields; certifications like CCNA, CompTIA Network+
Work EnvironmentDistributed computing environments, data centers, research institutionsCorporate offices, data centers, network operation centers
Industry UsageResearch, scientific computing, large-scale data processingBusiness networks, IT infrastructure management, enterprise networks

While both roles require networking knowledge and similar certifications, Grid Computing focuses on managing distributed computing resources for large-scale processing, whereas Network Administrators oversee and maintain organizational network infrastructure.

Is grid computing still relevant?

Grid computing remains relevant for organizations that require large-scale resource sharing and high-performance computing, especially in scientific research and data analysis. It involves managing distributed resources and often requires skills in network security, system administration, and middleware tools. While cloud computing has grown in popularity, grid computing continues to be used in specific sectors with legacy systems or specialized needs.

What are examples of grid computing?

Grid computing involves connecting multiple computer resources to work together on large-scale tasks. Examples include scientific research projects like the Large Hadron Collider, SETI@home, and climate modeling, which require significant processing power distributed across many systems. Professionals in grid computing often work with middleware tools such as Globus or Unicore to manage resources efficiently.
More about Grid Computing jobs

What other helpful pages are available for Grid Computing?

Other pages related to Grid Computing:

Infographic showing various Grid Computing job openings in the United States as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $165,000 per year, or $79.3 per hour.

Research Associate - Grid Modeling

Oak Ridge, TN • On-site

Oak Ridge National Laboratory
Scientific Research and Development Services • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Key responsibilities

  • Develop electromagnetic transient models for bulk power systems, synchronous generators, large loads, etc.

  • Develop simulation algorithms that enable large-scale simulations.

  • Integrate (or co-simulate) grid component/device models into open-source software tools for integrated system dynamic and transient simulations.


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 121 rated laboratories


Job description

Requisition Id 16570
Overview:
The Grid Transients & Advanced Modeling Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL) is seeking a Research Associate to perform R&D in the one or more of the following areas: development of EMT simulation software, bulk power systems electromagnetic transient (EMT) simulations, high-fidelity dynamic and transient power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated and independent in conducting research under general guidance and are expected to prepare manuscripts for scientific publication and present the work to sponsors and at conferences.
The group supports the energy reliability and prosperity mission of the Energy Department (DOE) through transformative science and technology solutions, including research supporting the Office of Electricity (OE), Office of Cybersecurity, Energy Security and Emergency Response (CESER), and Critical Minerals and Energy Innovation (CMEI) on the integration of new technologies, identifying and validating new ways of using existing and emerging grid assets to ensure grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g., quantum computing), EMT simulations, and power electronics control.
Major Duties/Responsibilities:
  • Develop electromagnetic transient models for bulk power systems, synchronous generators, large loads, etc.
  • Develop simulation algorithms that enable large-scale simulations.
  • Integrate (or co-simulate) grid component/device models into open-source software tools for integrated system dynamic and transient simulations.
  • Develop different applications and use cases for EMT simulations.
  • Deliver ORNL'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 - in how we treat one another, work together, and measure success.

Basic Qualifications:
  • A Ph.D. in electrical engineering, or related field.
  • Minimum of two years' experience post-Ph.D.
  • Expertise in power systems and power electronics.
  • Experience in C/C++, Matlab, and Python programming.
  • Experience in power systems software like PSCAD, PSS/e.

Preferred Qualifications:
  • Experience with software development.
  • Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs).
  • Excellent written and oral communication skills.
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs.

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.
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'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.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
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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