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

EVONA

Senior Flight Dynamics Engineer

Seattle, WA · On-site

$119K - $163K/yr

... Physics degree. * Experience with orbital mechanics, classical dynamics, modeling, and simulation * Mission analysis with STK, Astrogator, GMAT, Monte, Copernicus, or equivalent. * Python software ...

IonQ

Senior Optical Engineer

Bothell, WA · On-site +1

$114K - $150K/yr

... quantum physics. Responsibilities : * Design and simulate complex free-space and fiber-optic ... Proficiency in data analysis (e.g., Python) and instrument control (e.g., LabView, Simulink)

SpaceX

GNC Engineer (Starlink)

Redmond, WA · On-site

$145K - $175K/yr

... algorithms, simulations, tools, services, and dashboards using C++ or Python; Starlink GNC ... Bachelor's degree in computer science, aerospace, physics or an engineering discipline * Software ...

SpaceX

GNC Engineer (Starlink)

Redmond, WA

$145K - $175K/yr

... algorithms, simulations, tools, services, and dashboards using C++ or Python; Starlink GNC ... Bachelor's degree in computer science, aerospace, physics or an engineering discipline * Software ...

SpaceX

GNC Engineer (Starlink)

Redmond, WA · On-site

$145K - $175K/yr

... algorithms, simulations, tools, services, and dashboards using C++ or Python; Starlink GNC ... Bachelor's degree in computer science, aerospace, physics or an engineering discipline * Software ...

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

Physics Simulation Python information

See Burien, WA salary details

$12.6K

$77.3K

$139K

How much do physics simulation python jobs pay per year?

As of Jul 9, 2026, the average yearly pay for physics simulation python in Burien, WA is $77,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $90,900.00 per year, depending on experience, location, and employer.

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.

Does NASA hire physicists?

Yes, NASA hires physicists for roles involving research, space science, and engineering projects. These positions often require advanced degrees in physics or related fields and familiarity with scientific tools and data analysis methods. Physicists at NASA contribute to mission development, data interpretation, and technological innovation.

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.

Is Python still in demand in 2026?

Python remains highly in demand for physics simulation roles in 2026 due to its versatility, extensive libraries like NumPy and SciPy, and strong community support. Professionals skilled in Python, along with knowledge of scientific computing and simulation frameworks, are sought after in research, engineering, and development environments.

Who hires computational physicists?

Computational physicists are hired by research institutions, government laboratories, universities, and private industry companies involved in scientific research, technology development, and simulation modeling. They often work in fields such as aerospace, defense, energy, and software development, utilizing programming skills and scientific expertise to solve complex physical problems.

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.

Is Python good for physics simulation?

Physics simulation Python roles often require knowledge of Python libraries such as NumPy, SciPy, and PyBullet, which are well-suited for modeling physical systems. Python's ease of use, extensive scientific computing ecosystem, and ability to integrate with other tools make it a popular choice for developing and running physics simulations in research and industry. Proficiency in numerical methods and understanding of physics principles are also important for these positions.
What cities near Burien, WA are hiring for Physics Simulation Python jobs? Cities near Burien, WA with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
Senior Software Engineer, Quantum Applied Research

Senior Software Engineer, Quantum Applied Research

Nvidia

Redmond, WA

$137K - $180K/yr

Full-time

Posted 9 days ago

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms.

At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you!

What you'll be doing:

  • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows.

  • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems.

  • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models.

  • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments.

  • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems.

What we need to see:

  • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience).

  • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems.

  • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts.

  • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms).

  • Strong software engineering practices across testing, CI/CD, observability, and performance optimization.

Ways to stand out from the crowd:

  • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments.

  • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale.

  • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation.

  • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling.

  • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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