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Physics Simulation Python Jobs in Oregon (NOW HIRING)

Synopsys

R&D Engineering, Staff Engineer

Hillsboro, OR · On-site

$120K - $180K/yr

We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design ... You are comfortable moving between complex C++ implementations and Python prototyping, between ...

May Mobility

Tech Lead, Performance Evaluation

OR · On-site +1

$102K - $134K/yr

Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark ... physics or related fields. * Hands-on experience working with simulation data. Benefits and Perks

Intel

Module Engineering PhD Intern - Wet Etch

Hillsboro, OR · On-site

$18.25 - $23.75/hr

... simulation, automation, or visualization tools such as Python, MATLAB, SQL, JMP, R, or equivalent ... device physics, or data analytics. * Strong written and verbal communication skills with the ...

New

Intel

Module Development Engineer

Hillsboro, OR · On-site

Perform process technology feasibility studies using theoretical simulations and practical ... Fundamental knowledge of plasma physics, surface reactions, thin film processes, and semiconductor ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Perform system-level analysis, simulation, and validation to ensure algorithm performance meets ... Strong programming skills in Python with experience developing production-quality, maintainable ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ... Experience in HW/SW co-design, hardware simulator development, or software bring-up for emerging ...

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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 job categories do people searching Physics Simulation Python jobs in Oregon look for?

The top searched job categories for Physics Simulation Python jobs in Oregon are:

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

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

Physics Simulation Python jobs near you
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.

R&D Engineering, Staff Engineer

Hillsboro, OR • On-site

Synopsys
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Synopsysexternal

$120K - $180K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Date posted 08/30/2026 Category Engineering Hire Type Employee Job ID 18519 Base Salary Range $120000-$180000 Remote Eligible No Date Posted 08/30/2026 We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have spent years building software where the math actually matters, where a poorly tuned parameter or a slow convergence algorithm does not just make a demo sluggish, it blocks a customer from shipping a chip on schedule. You know that optimization is not about throwing gradient descent at a problem and hoping, it is about understanding the physics, the data, and the tradeoffs well enough to know which knobs to turn and when to stop.

You are comfortable moving between complex C++ implementations and Python prototyping, between statistical outlier analysis and conversations with field engineers who need you to explain why a model is behaving the way it is. You do not wait for perfect datasets or fully specified requirements. You dig into noisy data, ask the right questions, and build models that hold up under real-world manufacturing conditions.

The problems you like are the ones where the solution is not in a textbook. Where you have to combine numerical methods, domain knowledge, and engineering judgment to get something that works. Maybe you are finishing a PhD where you built custom optimization algorithms for physical systems, or you have a few years in industry applying advanced mathematical modeling to real engineering problems. Either way, you bring both theoretical depth and the practical instinct to know when theory needs to bend to reality.

At Synopsys, you will work on computational lithography models that enable the next generation of semiconductor manufacturing, and the team you join will expect you to bring both rigor and creativity to problems that have never been solved before.

What You'll Be Doing
  • Design and implement optimization techniques that reduce model calibration runtime without sacrificing accuracy, working directly with large-scale empirical datasets from leading-edge semiconductor processes
  • Prototype and develop new mathematical models for lithography simulation, translating specifications into production-quality C++ code integrated into the Proteus product line
  • Calibrate and tune complex non-linear model parameters using statistical analysis, numerical optimization, and domain-specific heuristics
  • Collaborate with cross-functional teams including product engineering, field support, and customer-facing teams to understand technical requirements and integrate modeling solutions into existing workflows
  • Analyze outlier data points and develop sampling strategies that improve model robustness and generalization across process variations
  • Maintain and extend existing computational lithography models, diagnosing performance bottlenecks and correctness issues in a large, mature codebase
  • Work directly with field engineers and customers to troubleshoot model behavior, gather requirements for new features, and validate solutions against real manufacturing data
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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