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Physics Simulation Python Jobs in Oregon (NOW HIRING)

... or physics-based systems. * Expert-level proficiency in modern C++ and Python, with a track record of architecting large-scale, performance-critical software. * Hands-on experience with simulation ...

Senior Structural Engineer, Simulation

Portland, OR · On-site

$106K - $144K/yr

... physics-backed confidence. You will lead the development of our internal Julia-based reduced order ... Leverage Docker, GCP, and PostgreSQL/Python to manage large-scale simulation data and cloud-based ...

Senior Structural Engineer, Simulation

Portland, OR · On-site

$106K - $144K/yr

... physics-backed confidence. You will lead the development of our internal Julia-based reduced order ... Leverage Docker, GCP, and PostgreSQL/Python to manage large-scale simulation data and cloud-based ...

Senior Structural Engineer, Simulation

Portland, OR · On-site

$106K - $144K/yr

... physics-backed confidence. You will lead the development of our internal Julia-based reduced order ... Leverage Docker, GCP, and PostgreSQL/Python to manage large-scale simulation data and cloud-based ...

Fluid Dynamicist

Portland, OR · On-site

$73K - $99K/yr

... fast-running physics-based tools that drive Panthalassa's design, optimization, and fleet ... Python, and can move fluidly between theory, code, simulation results, and engineering decisions.

Fluid Dynamicist

Portland, OR · On-site

$73K - $99K/yr

... fast-running physics-based tools that drive Panthalassa's design, optimization, and fleet ... Python, and can move fluidly between theory, code, simulation results, and engineering decisions.

Fluid Dynamicist

Portland, OR · On-site

$73K - $99K/yr

... fast-running physics-based tools that drive Panthalassa's design, optimization, and fleet ... Python, and can move fluidly between theory, code, simulation results, and engineering decisions.

Senior Software Engineer - NVIDIA Warp

OR · On-site +1

$122K - $161K/yr

NVIDIA Warp brings Python productivity to high-performance simulation, scientific computing, and differentiable programming on CPUs and NVIDIA GPUs. Our team develops Warp for computational physics ...

Sr Principal RF Engineer

Beaverton, OR · On-site

$115K - $151K/yr

MS or PhD in Electrical Engineering, Physics, or a related field (or equivalent industry experience ... Skills: Digital Communications, High Frequency Structure Simulator (HFSS), MATLAB, Python ...

Sr Principal RF Engineer

Beaverton, OR · On-site

$115K - $151K/yr

MS or PhD in Electrical Engineering, Physics, or a related field (or equivalent industry experience ... Skills: Digital Communications, High Frequency Structure Simulator (HFSS), MATLAB, Python ...

Solutions Architect, Energy OT and Industrial AI

OR · On-site +1

$63 - $83/hr

You will apply NVIDIA technology and Python in operational-technology (OT) and industrial control ... Perform forecasting and rapid simulation for power systems, subsurface, and process engineering.

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Physics Simulation Python information

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 Oregon?

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

What cities in Oregon are hiring for Physics Simulation Python jobs?

Cities in Oregon with the most Physics Simulation Python job openings:

Infographic showing various Physics Simulation Python job openings in Oregon as of June 2026, with employment types broken down into 55% Full Time, 25% Part Time, and 20% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

Solutions Architect, Physical AI and Omniverse

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 14 days ago


Key responsibilities

  • Assist partners and customers in assessing and adopting technologies within DSX Sim and Omniverse libraries.

  • Architect and demonstrate simulation workflows to help build, validate, optimize, and operationalize AI factory digital twins.

  • Collaborate with partners to build and validate simulation-ready asset pipelines using OpenUSD, SimReady specifications, and multi-physics simulation.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

NVIDIA is a leader in accelerated computing, artificial intelligence, and next-generation platform innovation. Our Worldwide Field Operations Solutions Architecture team supports third-party software vendors, partners, and customers. We transform advanced technologies into practical, repeatable solutions.

We are hiring a Solutions Architect to boost adoption of NVIDIA DSX Sim, Omniverse libraries, and AI agent skills. This position will establish DSX Sim as a shared, simulation-ready decision layer for AI factory creation. We also provide partners with actionable methods to embed accelerated rendering, physics, storage, streaming, and user interface capabilities into their applications.

This role connects customer demands with field delivery and product engineering, improving how AI factories and industrial digital twins are developed, validated, and put into operation. What you will be doing: Assist independent software vendors, ecosystem partners, and lighthouse customers in assessing and adopting technologies within DSX Sim, and Omniverse libraries. Architect and demonstrate simulation workflows that help customers build, validate, optimize, and operationalize AI factory digital twins.

Collaborate with partners to build and validate simulation-ready asset pipelines using OpenUSD, SimReady specifications, engineering data, multi-physics simulation, and operational inputs. Drive incorporation of Omniverse libraries (ovRTX, ovPhysx, ovStorage, usd-agents, etc) into partner applications, services, and enterprise workflows. Develop reusable reference architectures, demonstrations, sample workflows, benchmarks, and proof-of-concept evaluations that address customer challenges.

Translate technical and business requirements into clear solution plans while coordinating with sales, product engineering, developer relations, and partner teams to resolve blockers and advance adoption. Gather field insights, advocate for partner needs, and contribute technical mentorship that improves product direction, enablement resources, and team execution. What we need to see: Bachelor's degree in computer science, engineering, or a related technical field, or equivalent experience.

2+ years of relevant engineering, technical sales, or solution architecture experience; candidates considered for the higher level typically bring 5+ years of related experience. A solid base in one or more relevant areas, such as computer graphics, physically based rendering, physics simulation, engineering simulation, digital twins, or accelerated computing. Practical understanding of three-dimensional workflows and asset pipelines through OpenUSD or similar scene-description, modeling, and data-interchange technologies.

Experience programming in Python and a higher-level language such as C, C++, or Java. Hands-on success developing technical prototypes, setting up evaluations, benchmarking solutions, or supporting customer implementations of external libraries. Ability to manage technical relationships, explain sophisticated concepts clearly, and work closely with developers at external software companies, NVIDIA partners, and internal collaborators.

Ways to stand out from the crowd: OpenUSD certification or substantial hands-on work with OpenUSD composition, schemas, validation, optimization, or asset-pipeline development. Background crafting digital twins or simulation workflows for AI factories, data centers, architecture and engineering, industrial systems, or other complex physical environments. Knowledge of high-performance rendering techniques, physics, and simulation technologies such as NVIDIA RTX, PhysX, CUDA, multi-physics solvers, or AI surrogate models.

Success enabling partner solutions or building workflows such as computer-aided-design conversion, synthetic data generation, defect detection, neural reconstruction, or simulation-ready asset creation. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 20, 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.


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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