Principal Physics and Simulation Engineer

OKAYA INFOCOM; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

OKAYA INFOCOM is seeking a Principal Physics and Simulation Engineer for a remote role in the United States. The position focuses on advanced simulation, computational engineering, robotics, mechatronics, and applied physics.

You will balance fidelity, stability and performance to meet real-world use cases. Responsibilities include leading physically credible simulation design, defining models and calibration strategies, calibrating against measurements, and collaborating with digital twin,

Qualifications

• Experience in advanced simulation, computational engineering, robotics, or applied physics is required.
• Strong fundamentals in dynamics, kinematics, numerical simulation, calibration and validation.
• Ability to balance fidelity, stability, performance and intended use in models.

Responsibilities

• Lead physically credible simulation design for machines, robots, sensors and industrial processes.
• Define physics models, assumptions, numerical methods, calibration approaches and acceptance criteria.
• Calibrate simulation against measurements and quantify model error, sensitivity and uncertainty.
• Guide implementation and work with digital twin, robotics, sensor, rendering and QA engineers.

Skills

Advanced simulation

Robotics

Applied physics

Mechatronics

Dynamics

Kinematics

Numerical simulation

Calibration

Validation

Job description

Role: Principal Physics and Simulation Engineer

Location: Remote

Job Description:

• Advanced simulation, computational engineering, robotics, mechatronics, or applied physics
• experience.
• Strong fundamentals in dynamics, kinematics, numerical simulation, calibration, and validation.
• Ability to balance fidelity, stability, performance, and intended use.

Good to Have

• real-time simulation.
• Lead physically credible simulation design for machines, robots, sensors, materials, environments,
• and industrial processes used in engineering and AI validation.
• Define physics models, assumptions, numerical methods, calibration approach, and acceptance
• criteria.
• Model rigid-body dynamics, contacts, joints, kinematics, actuation, friction, and relevant
• Calibrate simulation against measurements and quantify model error, sensitivity, and uncertainty.
• Guide implementation, performance optimization, scenario definition, and validation.

Guide implementation and work with digital twin, robotics, sensor, rendering, and QA engineers.