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Physics Simulation Python Jobs in Tennessee (NOW HIRING)

Nuclear Engineer

Oak Ridge, TN · On-site

$94K - $112K/yr

Interpret simulation results and provide engineering recommendations to inform design decisions ... Proficiency in Python or similar scripting languages for model automation, post-processing, or ...

Nuclear Engineer

Oak Ridge, TN

$94K - $112K/yr

Interpret simulation results and provide engineering recommendations to inform design decisions ... Proficiency in Python or similar scripting languages for model automation, post-processing, or ...

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Physics Simulation Python information

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

What are the key skills and qualifications needed to thrive as a Physics Simulation Python Developer, and why are they important?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in Physics Simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

What is a Physics Simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.
What are popular job titles related to Physics Simulation Python jobs in Tennessee? For Physics Simulation Python jobs in Tennessee, the most frequently searched job titles are:
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What cities in Tennessee are hiring for Physics Simulation Python jobs? Cities in Tennessee with the most Physics Simulation Python job openings:
Infographic showing various Physics Simulation Python job openings in Tennessee as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 60% In-person, and 40% Remote job distribution.
Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Posted 18 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

Job Summary:
Oak Ridge National Laboratory (ORNL) is seeking a motivated Postdoctoral Research Associate to focus on large-scale molecular dynamics simulations and AI-integrated multiscale modeling of complex biosystems. The successful candidate will work at the intersection of high-performance computing, computational biophysics, and machine learning, contributing to interdisciplinary research and collaboration efforts across various teams.
Responsibilities:
• Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes)
• Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity
• Contribute to cross-scale modeling frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis)
• Optimize simulation codes and workflows for leadership-class HPC architectures
• Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics
• Publish findings in high-impact journals and present at leading conferences
Qualifications:
Required:
• Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field
• Strong programming skills in C++, Python, or similar scientific computing languages
• Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL)
• Experience working on high-performance computing (HPC) systems
• Demonstrated ability to conduct independent research with a good publication record
• Excellent written and verbal communication skills for interdisciplinary collaboration
• Commitment to ORNL’s core values: Impact, Integrity, Teamwork, Safety, and Service
Preferred:
• Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM)
• Experience improving performance and scalability of simulation workflows via: Parallelization and performance engineering, GPU/accelerator optimization, Algorithmic innovation
• Experience applying machine learning or AI to molecular simulation, including: Surrogate models or learned potentials, Generative models for biomolecular design, Representation learning for biomolecular systems
• Familiarity with protein–protein interaction (PPI) networks, signaling pathways, or systems biology models (bioinformatics tools and models)
• Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs
Company:
Oak Ridge National Laboratory holds a range of R&D assignments, from fundamental nuclear physics to applied R&D on advanced energy systems. Founded in 1943, the company is headquartered in Oak Ridge, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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