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Physics Simulation Python Jobs in Ohio (NOW HIRING)

Jobtorob

$80 - $120/hr

Strong proficiency in C++ and Python for robotics software development. Ability to write efficient ... Additional expertise in sensor fusion, physics simulation, or 3D perception will also be valued;

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Physics Simulation Python information

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 the key skills and qualifications needed to thrive as a physics simulation Python developer?

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 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 popular job titles related to Physics Simulation Python jobs in Ohio?

For Physics Simulation Python jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Physics Simulation Python jobs in Ohio look for?

The top searched job categories for Physics Simulation Python jobs in Ohio are:

What cities in Ohio are hiring for Physics Simulation Python jobs?

Cities in Ohio with the most Physics Simulation Python job openings:

Physics Simulation Python jobs near you

Software Simulation Engineer, Sensor Rendering

Path Robotics

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Build the Path Forward
At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.
We're looking for a Software Simulation Engineer to help us stand up and scale our sensor simulation infrastructure for sim-to-real model training. You will own the rendering and simulation of our 2D and 3D sensors, which our perception models rely on. You'll produce photorealistic, physically accurate synthetic data, enabling us to train and validate perception systems faster and at a greater scale than real-world data alone allows.
What You'll Do
Experienced Level:
  • Implement and validate physics-based sensor simulation models (structured light, depth, RGB, stereo, etc.) within platforms such as NVIDIA Isaac Sim, Blender or Unreal Engine, producing outputs that closely match real sensor behavior.
  • Build photorealistic scene rendering pipelines that account for sensor placement on the robot end-effector. Emulate robot trajectories both with and without physical models. Utilize accurate material properties, such as metal reflectance, weld spatter, and torch glow, to ensure synthetic data is meaningful for perception model training.
  • Develop synthetic data generation pipelines producing annotated ground-truth (point clouds, depth maps, segmentation masks) at scale.
  • Implement domain randomization strategies (lighting, material variation, sensor noise, viewpoint perturbation) to improve sim-to-real transfer for downstream perception models.
  • Collaborate with perception teams to ensure rendered outputs meet dataset requirements and write high-quality Python code.

Senior Level:
  • Lead the design and validation of high-fidelity, photorealistic sensor render pipelines grounded in real sensor characterization data and validated against physical measurements.
  • Architect the sensor rendering strategy for the Perception team, defining which sensor modalities, material models, and environmental conditions must be simulated to support perception across the full weld cell workflow.
  • Own the sim-to-real validation framework: define quantitative benchmarks and go/no-go criteria for when synthetic sensor data is ready to feed production model training.
  • Drive 3D asset and environment pipeline strategy, including CAD-to-simulation workflows, SDF/URDF asset management, material library management, and procedural scene generation for weld cell environments across Gazebo, Isaac Sim, and Unreal Engine.
  • Define strategy for when and how to use each simulation platform (Gazebo for ROS-integrated functional testing, Isaac Sim or Unreal Engine for photorealistic synthetic data generation) and build workflows that span them coherently.
  • Mentor engineers on rendering best practices, physically based material modeling, Gazebo plugin development, and synthetic data methodology.
Who You Are
  • Education & Experience: Degree in CS/Robotics/EE plus 3+ years (Experienced) or 5+ years (Senior) in simulation, rendering, or perception.
  • Software Proficiency: Strong Python skills for building production-grade simulation tooling and plugins.
  • Simulation Platforms: Hands-on experience with NVIDIA Isaac Sim, Unreal Engine, Blender or Gazebo (Classic/Ignition).
  • Rendering & Assets: Solid understanding of Physically Based Rendering (PBR) and experience with 3D assets (URDF, SDF, USD).
  • 3D data and assets: Experience with mesh representations, material authoring, and CAD-to-render workflows using formats such as URDF, SDF, or USD.
  • Synthetic data pipelines: Experience building annotated synthetic dataset generation systems and domain randomization strategies aimed at real-world model training.
  • Generative AI: Experience with generative image AI (e.g., diffusion models) and its application in synthetic data generation.
Nice to Have
  • Direct experience with NVIDIA Omniverse / Isaac Sim and USD-based scene composition.
  • Familiarity with simulating industrial phenomena like arc flash, weld spatter, and thermal emission.
  • Experience with generative AI (diffusion models) and procedural geometry for scalable 3D mesh generation.
  • Prior work in manufacturing or automotive simulation and cloud-based render farm infrastructure.
  • Experience with GPU-accelerated rendering or cloud-based render farm infrastructure.
Why You'll Love It Here
  • Free lunch every day
  • Flexible PTO
  • Medical, Dental, and Vision insurance
  • 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
  • 401K through Empower
  • Paid Referral Bonus
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

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