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Physics Simulation Python Jobs in Newark, NJ (NOW HIRING)

Medal

World Model / Action Policy Researcher

New York, NY · On-site

$350K - $450K/yr

Interest in interactive environments, physics-based simulations, or gaming AI. Experience with Unity, Unreal Engine, or custom simulators is a plus. Our Research Stack * Core Research: Python ...

Ciena

Optical System Architect

New Providence, NJ · On-site

$117K - $188K/yr

Advance internally developed Python-based link simulation tools * Collaborate across photonic ... Master's degree (+) in Optics/Photonics, Physics, or Electrical Engineering with industry ...

Ciena

Optical System Architect

New Providence, NJ

$117K - $188K/yr

Advance internally developed Python-based link simulation tools * Collaborate across photonic ... Master's degree (+) in Optics/Photonics, Physics, or Electrical Engineering with industry ...

QCi

Postdoctoral Researcher in Quantum Optics

Hoboken, NJ · On-site

$126K/yr

The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and ... Required Skills and Experience - PhD in Physics, Applied Physics, Electrical Engineering, or a ...

Thea Energy

Burning Plasma Scientist

Kearny, NJ

$135K - $210K/yr

Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a ... In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning ...

Thea Energy

Burning Plasma Scientist

Kearny, NJ · On-site

$135K - $210K/yr

Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a ... In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning ...

Thea Energy

Plasma-Materials Scientist

Kearny, NJ · On-site

$100K - $160K/yr

... simulations, thermal analysis, and contribute to multi-physics modeling efforts. Required ... Python, MATLAB, FEA tools, COMSOL, C++, Fortran. * Ability to work independently and manage ...

Nokia

High-Speed Package Design Engineer

Murray Hill, NJ · On-site

$143K/yr

MS or PhD in Electrical Engineering, Applied Physics, or equivalent relevant industry experience ... Working knowledge of Python and/or Tcl for design automation, simulation support, or data analysis

Thea Energy

Plasma-Materials Scientist

Kearny, NJ

$100K - $160K/yr

... simulations, thermal analysis, and contribute to multi-physics modeling efforts. Required ... Python, MATLAB, FEA tools, COMSOL, C++, Fortran. * Ability to work independently and manage ...

Quantum Computing Inc.

RF Systems Engineer

Hoboken, NJ · On-site

Evaluate, design, or simulate custom RF antenna apertures, microwave and photonic structures, and ... Bachelor of Science (BS) in Physics, Engineering Physics, RF Engineering, or Electrical Engineering ...

QCi

RF Systems Engineer

Hoboken, NJ · On-site

Evaluate, design, or simulate custom RF antenna apertures, microwave and photonic structures, and ... Bachelor of Science (BS) in Physics, Engineering Physics, RF Engineering, or Electrical Engineering ...

Vola Dynamics LLC

Quant Researcher

New York, NY · On-site

$175K - $250K/yr

You will implement your solutions in a modern C++ and Python library that is used by some of the ... physics, or similar fields. * You have significant experience using modern C++ to perform large ...

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All JobsPhysics Simulation Python JobsPhysics Simulation Python Jobs in Newark, NJ

Physics Simulation Python information

See Newark, NJ salary details

$11.5K

$70.7K

$127.1K

How much do physics simulation python jobs pay per year?

As of Jun 20, 2026, the average yearly pay for physics simulation python in Newark, NJ is $70,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $83,100.00 per year, depending on experience, location, and employer.

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 Newark, NJ? For Physics Simulation Python jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Newark, NJ look for? The top searched job categories for Physics Simulation Python jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Physics Simulation Python jobs? Cities near Newark, NJ with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
World Model / Action Policy Researcher

World Model / Action Policy Researcher

Medal

New York, NY • On-site

$350K - $450K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

The Company
General Intuition
We are the frontier research lab dedicated to building foundation models for environments that require deep spatial and temporal reasoning. For the past year, we've been pushing the forefront of AI across agents capable of navigating space and time, world models that provide training environments for those agents, and video understanding models with a focus on transfer to the real world.
We raised a seed round of $133M from General Catalyst and Khosla to discover the next generation of intelligence.
What We're Looking For
  • 5+ years of experience in deep learning research or reinforcement learning, with a focus on embodied agents or simulation environments.
  • Strong foundation in representation learning and generative modeling, particularly using architectures such as diffusion models, VAEs, and transformers applied to video.
  • Experience with world models and predictive control - you understand how to train models that simulate dynamics and plan actions in learned environments.
  • Proficiency in reinforcement learning (RL, model-based RL, or imitation learning) and the ability to design and evaluate policy networks.
  • Programming fluency in Python and deep learning frameworks such as PyTorch.
  • Strong experimental skills - comfort with large-scale training, evaluation pipelines, and managing complex datasets or simulations.
  • Publications or open-source contributions in areas like world modeling, simulation learning, or agent policies are a strong plus.
  • In-person: Looking to hire in NYC. 5 days in the office.
  • Ownership & scientific rigor: You see ideas through from concept to proof to deployment. You write clean, reproducible code and maintain a high bar for experimental validity.
  • Performance and scaling mindset: You care about how research translates into production systems, with an understanding of compute efficiency, distributed training, and data bottlenecks.
  • Curiosity-driven and result-oriented: You're excited by open-ended problems, but you also know how to define measurable goals and ship impactful systems.
  • Gaming & simulation passion: Interest in interactive environments, physics-based simulations, or gaming AI. Experience with Unity, Unreal Engine, or custom simulators is a plus.

Our Research Stack
  • Core Research: Python, PyTorch, NumPy, Triton, and CUDA
  • Backend & Infra: Kubernetes, GCP, and large-scale training clusters
  • Experimentation: We run continuous evaluation, A/B testing, and performance metrics tracking on our deployed models

Benefits
  • Competitive salary and meaningful equity
  • Comprehensive medical, dental, and vision coverage
  • 401(k)
  • Wellness and fitness perks including a Wellhub membership and mental health resources
  • Paid parental leave, fertility and maternal health benefits
  • Generous PTO policy
  • Daily meals and commuter benefits at our NYC HQ in Flatiron
  • Learning and development stipend

Benefits vary by country and employment type.

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