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Assistant Physics Simulation Jobs in Austin, TX (NOW HIRING)

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Assistant Physics Simulation information

See Austin, TX salary details

$8

$18

$28

How much do assistant physics simulation jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for assistant physics simulation in Austin, TX is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.96 per hour, depending on experience, location, and employer.

What is the difference between Assistant Physics Simulation vs Physics Engineer?

AspectAssistant Physics SimulationPhysics Engineer
Required CredentialsBachelor's degree in physics, engineering, or related fieldBachelor's or master's degree in physics, engineering, or related field; often requires experience
Work EnvironmentResearch labs, simulation teams, software development settingsDesign, development, and testing of physical systems; engineering teams
Employer & Industry UsageResearch institutions, tech companies, simulation firmsManufacturers, aerospace, automotive, research organizations
Common Search & ComparisonAssisting in physics simulations, supporting modeling tasksCreating and optimizing physical models, engineering solutions

Assistant Physics Simulation roles focus on supporting simulation tasks and assisting in modeling physical phenomena, often requiring a bachelor's degree. Physics Engineers design and develop physical systems, requiring more experience and advanced skills. Both roles are integral in research and industry but differ in scope and responsibilities.

What are the most commonly searched types of Physics Simulation jobs in Austin, TX? The most popular types of Physics Simulation jobs in Austin, TX are:
Assistant Physics Simulation jobs near you

Physicist with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

$51.50 - $71/hr

Contractor

Re-posted 14 days ago

Job description

We're building a talent pool of Physics Experts with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.

Designed for physics professionals who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their simulation expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific simulation tools, such as FEniCS, OpenFOAM, Meep, REBOUND, or CAMB, with verifiable, code-graded answers run inside isolated Linux environments.

Key Responsibilities

  • Identify an appropriate physics simulation package and build problems whose solution genuinely hinges on that tool's core capabilities, whether PDE solvers, integrators, or Monte Carlo kernels.
  • Develop full Python solutions for each problem, providing all necessary input files, boundary conditions, and domain or initial condition definitions.
  • Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the physical context.
  • Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.
  • Tune solver parameters, field configurations, and initial conditions iteratively, building an understanding of how the model navigates complex simulation environments.
  • Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.

Core Requirements

  • Academic background in Physics, Theoretical, Experimental, or Computational, or an equivalent field.
  • At least 2 years of hands-on experience in physics research, applied work, or teaching.
  • Solid Python skills, applied to writing and validating computational solutions.
  • Capacity to build problems that cannot be solved without specialized simulation software.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Working knowledge of one or more domain-specific simulation tools, including but not limited to: FEniCS/DOLFINx, OpenFOAM, Meep, MPB, openEMS, Geant4, PYTHIA8, ROOT/PyROOT, WarpX, REBOUND, MESA, CAMB, CLASS, or Bilby, or a demonstrated ability to get up to speed independently.
  • Prior exposure to how frontier AI models approach complex simulation tasks.
  • Knowledge spanning more than one physics domain, such as fluid dynamics, electromagnetism, gravitation, or cosmology.
  • Familiarity with containerized or sandboxed Linux execution environments.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.