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Physics Simulation Python Jobs in Seattle, WA (NOW HIRING)

Meta

Software Engineer, Simulation

Bellevue, WA

$154K/yr

... developing Python codebase * Understanding of performance and benchmarking measurement and ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

SpaceX

Software Engineer (Starlink Mobile)

Redmond, WA · On-site

$145K - $175K/yr

Development experience in Python, C, or C++ PREFERRED SKILLS AND EXPERIENCE: * Knowledgeable in real-time rendering, game engine development, physics simulation, or other real-time, resource ...

Blue Origin

Senior Simulation Engineer

Seattle, WA

$197K - $276K/yr

... years developing physics-based simulation and dynamic models for high-reliability systems ... Python, C/C++) plus disciplined configuration management, automated testing, and verification ...

Blue Origin, LLC

Senior Simulation Engineer

Seattle, WA · On-site

$197K - $276K/yr

... years developing physics-based simulation and dynamic models for high-reliability systems ... Python, C/C++) plus disciplined configuration management, automated testing, and verification ...

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All JobsPhysics Simulation Python JobsPhysics Simulation Python Jobs in Seattle, WA

Physics Simulation Python information

See Seattle, WA salary details

$12.5K

$76.9K

$138.3K

How much do physics simulation python jobs pay per year?

As of Sep 13, 2026, the average yearly pay for physics simulation python in Seattle, WA is $76,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $90,500.00 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 Seattle, WA?

For Physics Simulation Python jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Physics Simulation Python jobs in Seattle, WA look for?

The top searched job categories for Physics Simulation Python jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Physics Simulation Python jobs?

Cities near Seattle, WA with the most Physics Simulation Python job openings:

Physics Simulation Python jobs near you
Infographic showing various Physics Simulation Python job openings in Seattle, WA as of September 2026, with employment types broken down into 2% Internship, 88% Full Time, 6% Part Time, and 4% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $76,932 per year, or $37 per hour.

Software Engineer, Simulation

Bellevue, WA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$154K/yr

Full-time

Posted 4 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

We are seeking an experienced software engineer to join the MTIA (Meta Training and Inference Accelerator) software team, to work on simulators and other early software development platforms. The simulators you build will be critical for pre-silicon development, allowing the whole team to develop software before hardware is available. This is an opportunity to work with a dedicated engineering team, collaborating with a large set of cross-functional partners. The program carries top-level executive visibility as a key AI infrastructure initiative, and the team values deep technical contributions with extensive knowledge-sharing.
Software Engineer, Simulation Responsibilities:
  • Contribute to our developer infrastructure, including simulation and HW emulation platforms, to enable performance measurement and optimization for Meta’s in-house accelerator programs
  • Support networking and compute hardware acceleration techniques to improve ML inference and training model performance
  • Implement simulation models for Meta’s Accelerator ASICs, develop and analyze various scenarios to evaluate data center performance and identify potential improvements
  • Perform an architectural analysis to ensure that system designs meet performance, scalability, and reliability requirements
  • Collaborate with architects and engineers to integrate simulation results into system design processes
  • Use instruction set simulators to define performant firmware for Meta's training/inference accelerators
  • Collaborate with hardware teams to ensure accurate modeling and simulation of accelerator functionalities

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Masters or PhD in Computer Science, Computer Engineering, or any other relevant technical field
  • 5+ years of experience in developing C++ codebase
  • 5+ years experience in developing Python codebase
  • Understanding of performance and benchmarking measurement and optimization on collective communications and distributed at-scale model training and inference

Preferred Qualifications:
  • Experience with SystemC, Qemu, Virtual Platform
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience in one or more of the following machine learning/deep learning domains: hardware accelerators, AI Infrastructure, and/or high performance computing (HPC), particularly pertaining to interconnect and collective
  • Full-stack experience and understanding of AI/HPC systems, from HW/infrastructure through the application layer, performance optimizations, including familiarity with relevant tools, libraries, and frameworks (e.g., NCCL, PyTorch, CUDA)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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