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Research Software Engineer Jobs in Oak Ridge, TN

Senior Research Scientist

Oak Ridge, TN · On-site

$94K - $120K/yr

... with engineering, manufacturing, quality, customers, suppliers, universities, and national ... Collaborate with electronics, mechanical, cryogenic, software, systems, manufacturing, and quality ...

Senior Research Scientist

Oak Ridge, TN

$94K - $120K/yr

... with engineering, manufacturing, quality, customers, suppliers, universities, and national ... Collaborate with electronics, mechanical, cryogenic, software, systems, manufacturing, and quality ...

Data Engineer

Knoxville, TN · On-site

$109K - $131K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Showing results 41-60

Research Software Engineer information

See Oak Ridge, TN salary details

$96.7K

$178.7K

How much do research software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for research software engineer in Oak Ridge, TN is $173,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $177,900.00 and $177,900.00 per year, depending on experience, location, and employer.

What does a research software engineer do?

As a Research Software Engineer, your daily work often involves designing and implementing software to support cutting-edge research projects, collaborating with scientists to understand their computational needs, and ensuring code reliability and reproducibility. You may spend time optimizing algorithms, writing unit tests, documenting software, and participating in code reviews within a collaborative team environment. Additionally, you might help deploy research applications on high-performance or cloud computing platforms and contribute to research publications. Balancing independent programming tasks with ongoing communication is key to making meaningful contributions to both the research and software development processes.

What skills and qualifications are needed to be a research software engineer?

To thrive as a Research Software Engineer, you need strong programming skills (often in Python, C++, or Java), a solid understanding of algorithms, and an academic or industry background in computer science or a related field. Familiarity with version control systems like Git, cloud platforms, and experience using scientific computing libraries and frameworks are valuable, while a master's or Ph.D. can be advantageous for specialized roles. Excellent problem-solving, communication, and collaborative skills help in working closely with researchers and multidisciplinary teams. These capabilities are crucial for successfully translating complex research problems into robust, reproducible software solutions that advance scientific inquiry.

Infographic showing various Research Software Engineer job openings in Oak Ridge, TN as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $191,697 per year, or $92.2 per hour.

Research Professional - Grid Control and Machine Learning

Oak Ridge National Laboratory

Oak Ridge, TN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


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 120 rated laboratories


Job description

Requisition Id 16852 

Overview:

The Grid Interactive Controls Research Group (GIC) 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 R&D associate staff member. The GIC Group aims to improve grid security, reliability and resilience through everything-to-grid (X2G) integration by delivering innovative, multi-disciplinary, grid-interactive control solutions. The successful candidate will work with a wide variety of customers including the US Department of Energy. They may also work collaboratively with other national laboratories, industry and academic partners, and the international community to execute projects. The successful candidate is expected to demonstrate a broad understanding and wide application of engineering principles, theories, and concepts as well as general knowledge of power systems-related disciplines, applications and challenges.

Specifically, the successful candidate will focus on research and development of grid-edge sensing, reliable timing, model aggregation, and hardware-in-the-loop validation for modern power systems. The objective is to improve dynamic observability, model fidelity, and operational resilience in increasingly distributed and converter-dominated power grids.

Major Duties/Responsibilities:

  • Conduct innovative research on real-time, time-synchronized measurement-to-model approaches for modern power systems with high DER penetration.
  • Develop grid-edge sensing and real-time monitoring systems to provide high-resolution measurements for situational awareness, dynamic modeling, and control decisions.
  • Design reliable timing and synchronization architectures to ensure distributed grid-edge and substation measurements are time consistent and model ready.
  • Integrate grid-edge measurements and system-level observations into unified workflows for DER aggregation and parameter identification.
  • Apply machine learning techniques to improve DER/IBR model calibration, parameter estimation, uncertainty assessment, and decision support.
  • Build and apply hardware-in-the-loop test platforms to validate the full sensing, timing, modeling, and control under real-time conditions.
  • Establish HIL-based test protocols and performance metrics to assess accuracy, latency, and robustness under practical engineering constraints.
  • Collaborate with power systems, controls, hardware, and field engineering teams to transition measurement-driven models and real-time prototypes into deployable, control-ready solutions.
  • 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:

  • Ph.D. in electrical engineering, power systems, computer engineering, control engineering, or a closely related field.
  • Strong background in power system modeling, dynamic simulation, and DER integration.
  • Experience with real-time systems, hardware-in-the-loop simulation, or power system testbeds.
  • Proficiency in programming and data analysis using tools such as Python, MATLAB, C/C++, or similar languages.
  • Ability to develop, validate, and document research prototypes, algorithms, and technical workflows.
  • Strong written and verbal communication skills for interdisciplinary research and engineering collaboration.

Preferred Qualifications:

  • Experience with grid-edge sensing, synchronized measurements, PMU/POW data, or distribution-level monitoring systems.
  • Experience with reliable timing, time synchronization or timing-error impact analysis.
  • Experience with DER model aggregation, parameter identification, model reduction, or dynamic equivalent modeling.
  • Experience with power system simulation and modeling tools such as PSCAD, PSSE, OpenDSS, MATLAB/Simulink, or similar platforms.
  • Hands-on experience with real-time simulation or hardware-in-the-loop platforms such as OPAL-RT, RTDS, Typhoon HIL, or similar systems.
  • Familiarity with software coding and hardware development in the context of power systems research.
  • Proven track record of scholarly publications and presentations in relevant fields.
  • Experience in proposal writing.

Special Requirements:

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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