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Physics Simulation Python Jobs in Indiana (NOW HIRING)

Barbaricum

AFSIM Simulation Engineer

Crane, IN · On-site

Our teams deliver physics-based analysis that complements MBSE efforts by transforming ... Programming experience in Python, C++, or MATLAB EEO Commitment All qualified applicants will ...

Barbaricum

AFSIM Simulation Engineer

Crane, IN

Our teams deliver physics-based analysis that complements MBSE efforts by transforming ... Programming experience in Python, C++, or MATLAB EEO Commitment All qualified applicants will ...

The Amatriot Group

AFSIM Developer

Crane, IN · On-site

... Physics, or related technical field. • Strong programming skills (e.g., C++, Python, or similar ... simulation environments. • Knowledge of electronic warfare, RF systems, or spectrum operations ...

Amatriot Group, LLC

AFSIM Analyst

Crane, IN

$130K - $200K/yr

This position focuses on Modeling and Simulation tasks using the Advanced Framework for Simulation ... Apply programming skills, including Python, C/C++, or similar languages, to automate scenario ...

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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 Indiana? For Physics Simulation Python jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Indiana look for? The top searched job categories for Physics Simulation Python jobs in Indiana are:
What cities in Indiana are hiring for Physics Simulation Python jobs? Cities in Indiana with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
AFSIM Simulation Engineer

AFSIM Simulation Engineer

Barbaricum

Crane, IN

Other

Posted 10 days ago

Job description

Barbaricum supports NSWC Crane with advanced modeling, simulation, and mission analysis capabilities that inform DoD platform architecture, system integration, and test and evaluation activities. Our teams deliver physics-based analysis that complements MBSE efforts by transforming authoritative SysML-based system models into executable mission-level simulations and actionable analysis products across complex, multi-domain operational environments.

We are seeking an AFSIM Simulation Engineer to develop and execute mission-level and kill-chain simulations that consume MBSE-defined system architectures, interfaces, and mission threads to assess hardware-centric DoD platforms and integrated mission systems.

The Role

The AFSIM Simulation Engineer develops, executes, and analyzes physics-based mission simulations using the Advanced Framework for Simulation and Integration Modeling (AFSIM). This role supports mission effectiveness assessments, experimentation, and Live, Virtual, and Constructive (LVC) events by implementing MBSE-derived SysML views-including requirements, functional threads, physical architectures, and interfaces-as AFSIM inputs to evaluate sensor-to-shooter kill chains and operational effects, including EMSO-relevant influences.

Responsibilities

  • Develop, modify, and execute AFSIM models derived from MBSE SysML artifacts, including mission threads, functional flows, system architectures, and interface definitions

  • Analyze blue vs. red kill chains, system interactions, and mission-level effects across integrated sensor, shooter, and command elements

  • Translate MBSE handoff artifacts (requirements allocations, activity diagrams, block definitions, internal block diagrams) into executable AFSIM entities, behaviors, and interactions

  • Integrate sensor, RF, EW, weapon, and platform models consistent with MBSE-defined system boundaries, interfaces, and architectural assumptions

  • Support experimentation, test events, and LVC exercises focused on validating system architectures, mission threads, and kill-chain performance

  • Conduct verification and validation of AFSIM models against MBSE-defined assumptions, constraints, and system definitions

  • Perform statistical and analytical assessments of mission outcomes and kill-chain performance drivers, producing analysis products traceable to system design and architecture decisions

  • Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts

Required Qualifications

  • Bachelor's degree in Engineering, Physics, Operations Research, or related technical field

  • Active DoD Secret (Top Secret/SCI preferred)

  • 5+ years of modeling and simulation experience supporting system-level or mission-level analysis

  • Hands-on experience developing and executing AFSIM models

  • Strong understanding of mission-level analysis, system architectures, and kill-chain dynamics

  • Ability to interpret and analyze large simulation datasets and trace results back to system requirements and architecture drivers

Desired Qualifications

  • Experience supporting DoD platforms or hardware-centric mission systems within an MBSE-driven development environment

  • Experience executing sensor-to-shooter or effects-based kill-chain analysis tied directly to system architecture trades

  • Experience supporting DoD test, evaluation, or experimentation activities using MBSE-informed scenarios and architectures

  • Programming experience in Python, C++, or MATLAB

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