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Physics Simulation Python Jobs in Arlington, TX (NOW HIRING)

Micron

Principal HBM Design Architect

Richardson, TX

... physics Experience with schematic entry and simulation using FineSim, HSPICE, or equivalent tools ... Python, Tcl, or Perl Preferred Qualifications Familiarity with DRAM or memory subsystem design ...

Micron

Principal HBM Design Architect

Richardson, TX

... physics Experience with schematic entry and simulation using HSPICE, FineSim, or equivalent Experience with power distribution and network analysis Proficiency with scripting languages such as Python ...

Micron

Principal HBM Design Architect

Richardson, TX

... physics. * Handson experience with schematic entry and simulation tools such as Finesim and HSPICE ... Proficiency with scripting languages such as Python, Tcl, or Perl . Preferred Qualifications

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Physics Simulation Python information

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How much do physics simulation python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for physics simulation python in Arlington, TX is $60,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,600.00 and $71,500.00 per year, depending on experience, location, and employer.

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 Arlington, TX?

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

What job categories do people searching Physics Simulation Python jobs in Arlington, TX look for?

The top searched job categories for Physics Simulation Python jobs in Arlington, TX are:

What cities near Arlington, TX are hiring for Physics Simulation Python jobs?

Cities near Arlington, TX with the most Physics Simulation Python job openings:

Physics Simulation Python jobs near you
Infographic showing various Physics Simulation Python job openings in Arlington, TX as of June 2026, with employment types broken down into 56% Full Time, 23% Part Time, and 21% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $60,837 per year, or $29.2 per hour.

Chief Scientist - Fort Worth, Texas

Davidson Technologies, Inc.

Fort Worth, TX • On-site

Full-time

Posted yesterday

New

Job description

Davidson has distinguished itself in the aerospace and missile defense industry with an outstanding reputation for excellence. Specifically, we're recognized for hiring noted experts, experienced engineers and scientists dedicated to designing and delivering advanced, intelligent technology solutions in defense of our Nation.

Davidson is seeking a Chief Scientist in Ft. Worth, Texas.

Job Responsibilities:

  • Act as the chief technical authority for all advanced multi-domain mission systems, defining and evolving system architectures that satisfy stakeholder needs, align with technical roadmaps, and meet stringent performance, safety, and reliability standards.
  • Lead the development of Open Mission Systems (OMS)/Universal Command and Control Interface (UCI) System-of-Systems architectures, ensuring compliance with industry standards (SOSA, FACE, MOD, etc.) and enabling plug-and-play interoperability across domains.

  • Embedded Mission Computing & High-Performance Processing

    • Guide the design, integration, and validation of embedded mission computing solutions, including 3U VPX/OpenVPX-based systems, conduction-cooled architectures, and high-performance processing fabrics (GPUs, FPGAs, many-core processors).
    • Oversee hardware/software co-design efforts to optimize SWaP-C (Size, Weight, Power, and Cost) while maximizing throughput, deterministic latency, and ruggedness for airborne, space, ground, and naval platforms.

  • Advanced Data Fusion, Sensing & Collaborative Targeting

    • Champion the development of advanced data fusion algorithms, collaborative passive sensor targeting, and distributed tracking solutions that create a joint force common operational picture (COP)

Job Requirements:


  • Ph.D. in Electrical Engineering, Computer Engineering, Aerospace Engineering, Computer Science, Physics, or a closely related STEM discipline (Master's degree with 15+ years of relevant experience may be considered).
  • Minimum 12 years of progressive experience in defense/aerospace systems engineering, with a strong focus on mission systems, embedded computing, open architectures, and sensor/data fusion technologies.
  • Demonstrated track record of technical leadership on major defense programs (Air Force, Army, Navy, MDA, DARPA, or equivalent international customers).
  • Deep knowledge of Open Mission Systems (OMS), Universal Command and Control Interface (UCI), Sensor Open Systems Architecture (SOSA), FACE, MOD, and related open-architecture standards.
  • Proven expertise in 3U VPX/OpenVPX, VITA standards, conduction-cooled embedded systems, high-performance computing (HPC) in constrained environments, and heterogeneous processing (CPU/GPU/FPGA/ASIC).
  • Strong background in advanced data fusion, multi-sensor integration, collaborative targeting, distributed tracking, and joint all-domain command and control (JADC2) concepts.
  • Hands-on experience with modeling & simulation tools (MATLAB/Simulink, ANSYS, Systems Tool Kit (STK), Python-based simulations) and digital engineering frameworks (MBSE, SysML, Cameo, etc.).
  • Familiarity with AI/ML algorithms for defense applications (target recognition, anomaly detection, predictive maintenance, decision support) and awareness of emerging paradigms (quantum ML, neuromorphic computing).
  • Understanding of system safety, reliability, security (cybersecurity, TEMPEST, DO-254/DO-178C as applicable), and certification processes for avionics and mission-critical systems.

Clearance Requirements:

  • Active DoD Security Clearance at the Secret level or above.

Apply