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Physics Simulation Python Jobs in Colorado (NOW HIRING)

Laser Scientist

Denver, CO · On-site

$170K - $200K/yr

Utilize and improve existing laser oscillator and amplifier simulation tools (Python, MATLAB ... Master's degree in physics, optics, electrical engineering, chemistry, or related field

Utilize and improve existing laser oscillator and amplifier simulation tools (Python, MATLAB ... Master's degree in physics, optics, electrical engineering, chemistry, or related field

Utilize and improve existing laser oscillator and amplifier simulation tools (Python, MATLAB ... Master's degree in physics, optics, electrical engineering, chemistry, or related field

GNC Engineer III

Denver, CO · On-site

$115K - $190K/yr

Strong understanding of physics, attitude dynamics, orbital mechanics, and software development ... Experience with C++ and/or Python for algorithm development, numerical methods, or simulation

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Physics Simulation Python information

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 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 Colorado? For Physics Simulation Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Colorado look for? The top searched job categories for Physics Simulation Python jobs in Colorado are:
Infographic showing various Physics Simulation Python job openings in Colorado as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.
Satellite Communication Analytics Engineer - Mid-level

Satellite Communication Analytics Engineer - Mid-level

Logistics Management Institute

Colorado Springs, CO

$95K - $158K/yr

Full-time

Posted 10 days ago


Job description

LMI is seeking an Analytics Engineer with deep expertise in communication and network modeling to join our dynamic team focused on the space domain. In this role, you will develop, simulate, and analyze complex space infrastructure systems including satellite constellations, ground stations, orbital networks, and resilient architectures. Your work will directly inform analytical recommendations for future force design decisions and optimizing space capabilities for mission effectiveness, survivability, resiliency, and strategic superiority. This position is perfect for an analytical thinker who thrives on applying rigorous theory to real-world space challenges, using data-driven simulations to guide high-stakes decisions in defense and national security space sectors. This is an on-site role in Colorado Springs, CO.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


Responsibilities:

  • Contribute to analysis teams driving recommendations for research, development, and acquisition decisions for legacy and emerging customer satellite communication (SATCOM) architectures.
  • Conduct high-fidelity simulations and analyses, including coverage analysis, killchain effects, beam allocation, network connectivity/graph theory, satellite resilience analysis, and annual costing of future systems using Python and simulation software.
  • Generate technical reports, briefings, and strategic recommendations for stakeholders, including potential publication or presentation at industry conferences.
  • Collaborate with software engineers, data scientists, and decision-makers to integrate models into broader analytical pipelines and decision-support systems.
  • Build and maintain scalable simulation environments, ensuring models are computationally efficient and validated against empirical data.
  • Inform software development for LMI’s proprietary simulation tool to achieve SDN analysis objectives.

Required:

  • B.S. in Engineering, Physics, Operations Research, or a related field with a strong emphasis on theoretical modeling.
  • At least 4+ years of experience (industry, national lab, government, or advanced research settings) in space-related modeling, communication/ground architectures, data network modeling, and scheduling algorithms and operations.
  • Strong background in managing and developing complex space systems, specifically with deep expertise in SATCOM architectures as they apply to this mission area for the United States Space Force’s (USSF).
  • Demonstrated ability to abstract theoretical concepts into practical models, simulations, and analytical frameworks that drive decision-making.
  • Experience with one or more software languages that may include Python, C++, or MATLAB.
  • Excellent communication and teamwork abilities, to include briefing SES/SL and GO/FO-level leadership.

Nice to have:

  • Advanced degree (M.S. or Ph.D.) in Engineering, Physics, Operations Research, or a related field with a strong emphasis on theoretical modeling.
  • Familiarity with force design concepts, mission analysis, or wargaming in space or multi-domain operations.
  • Experience with simulation tools such as Systems Tool Kit (STK), GMAT, FreeFlyer, AFSIM, or custom-built propagators.
  • Background in space domain infrastructure analysis, including constellation design, coverage modeling, or resilience assessments.

Security Clearance Requirements:

  • Candidate must possess an active TS/SCI or TS with SCI eligibility clearance.

Target salary range: $95,000 - $158,000

Disclaimer: 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.