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Physics Engine Developer Jobs (NOW HIRING)

Post Doctoral Associate

New York, NY · On-site

$60K - $80K/yr

... engineering, or related field to apply. A strong publication record is encouraged and previous ... Physics Engine Simulator) is required. In compliance with NYC's Pay Transparency Act, the annual ...

Post Doctoral Associate

New York, NY · On-site

$62K - $80K/yr

Description Post Doctoral Associate NYU Tandon School of Engineering Post-Doctoral Positions in ... System, Gazebo Physics Engine Simulator) is required. Salary: In compliance with NYC's Pay ...

We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of ... Experience building or substantially extending a physics engine or simulation framework (Newton ...

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Physics Engine Developer information

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How much do physics engine developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for physics engine developer in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 per hour, depending on experience, location, and employer.

What does a physics engine developer do?

A Physics Engine Developer designs, implements, and maintains the software systems that simulate physical behaviors in digital environments, such as video games or simulations. This involves developing algorithms to model real-world physics phenomena like collision detection, rigid body dynamics, and fluid simulations. Physics Engine Developers work closely with other software engineers and designers to ensure realistic and efficient performance, often optimizing their code for specific platforms or hardware. Their work is essential for creating immersive and believable interactive experiences.

What are the key skills and qualifications needed to thrive as a physics engine developer?

To thrive as a Physics Engine Developer, you need strong programming skills (C++ or similar), a solid understanding of physics and mathematics, and often a computer science or engineering degree. Familiarity with physics simulation libraries (like Bullet or PhysX), game engines (such as Unity or Unreal), and profiling/debugging tools is typically required. Analytical thinking, attention to detail, and effective teamwork are essential soft skills for optimizing performance and collaborating with multidisciplinary teams. These competencies are crucial to building accurate, efficient, and robust physics systems that enhance the realism and playability of interactive applications.

What are some common challenges faced by physics engine developers when optimizing real-time simulations?

Physics Engine Developers often encounter challenges balancing simulation accuracy with real-time performance. Ensuring that the engine runs smoothly on various hardware, especially for games or interactive applications, requires clever optimization techniques such as approximations and multi-threading. Additionally, developers need to address issues like collision detection precision, numerical instability, and scalability when handling complex scenes. Collaborating closely with graphics programmers and gameplay engineers is essential for integrating the physics engine seamlessly into larger projects.

What are popular job titles related to Physics Engine Developer jobs?

For Physics Engine Developer jobs, the most frequently searched job titles are:

Infographic showing various Physics Engine Developer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Engine Calibration Methodology Engineer

Auburn Hills, MI • On-site

Stellantis
IT Services

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers


Job description

Engine Calibration Engineer supports development, validation, and continuous improvement of model-based and physics-based calibration methods across ICE, xHEV, and BEV applications. This early-career role assists methodology development, data analysis, model correlation, validation planning, and process documentation, helping calibration teams improve repeatability, quality, efficiency, range, fuel economy, drivability, and emissions readiness.
Key Responsibilities:
  • Support gasoline base calibration methodology (torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability) plus SS Emissions, Off-Nominal, and Transient calibration.
  • Support release-readiness checklists, dataset maturity evidence, and organized documentation for calibration freeze and program milestones.
  • Support model-based/physics-based methods by documenting inputs, assumptions, limitations, and validation evidence; assist building/improving virtual models.
  • Support correlation of vehicle, dyno, HIL/SIL/MIL, and virtual datasets to identify simulation-to-physical gaps.
  • Use MATLAB, Simulink, ETAS INCA, MDA, dSPACE Automation, and ControlDesk to support data analysis and methodology work.
  • Support structured root-cause analysis, data summaries, and lessons-learned capture for calibration issue resolution.
  • Support validation/test planning (dyno, vehicle, HIL/SIL/MIL, virtual) and calibration maturity/readiness assessments.
  • Collaborate with CoE, Controls, Emissions, Validation, and application calibration teams; help document and improve methodology and best practices.

Basic Qualifications:
  • BS in Engineering or related field.
  • Experience in engine system development, calibration, controls, model-based development, or physics-based modeling preferred.
  • Prior experience in base engine dyno calibration on boosted/TJI engines.
  • Knowledge of ICE subsystems: combustion, valvetrain, fuel system, boost, EGR, aftertreatment.
  • Data acquisition experience collecting, processing, and organizing dyno, vehicle, HIL, or virtual test data.
  • Working knowledge of engine analysis/calibration tools, emissions development, and engine technologies.
  • Basic proficiency in MATLAB/Simulink to support model-based analysis and calibration methodology.
  • Good teamwork and independent-work skills; effective communication and clear documentation habits.

Preferred Qualifications
  • Master's degree in engineering.
  • Experience with engine dynamometer measurement systems, data acquisition, and data analytics.
  • Work experience in spark ignition engine controls and calibration.
  • Experience with DOE, engine modeling, neural networks, reactive problem solving, or statistics.
  • Exposure to Model Advisor/MXAM, Simulink Requirements, MDS, SystemDesk, RTC/RQM, DNG, or related model-quality tools.

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