Senior Physical AI Engineer (Simulation)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build high-fidelity, physics-based simulation environments to train and validate autonomous driving AI agents. Leverage 3D generative AI (including 3D Gaussian Splatting) and vehicle dynamics models to reduce the Sim-to-Real gap, and develop scalable closed-loop testing pipelines. Implement and optimize high-performance simulation modules using C++, Python, and CUDA, integrating perception, planning, and control algorithms to improve simulation fidelity and accelerate model development and deployment.

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Reconstruct high-fidelity 3D environments using 3D Gaussian Splatting (3DGS) and generative AI technologies.
•Design and develop scalable simulation pipelines for closed-loop testing of AI models.
•Implement and validate physics-based vehicle dynamics and kinematics models.
•Develop and optimize high-performance simulation modules using C++, Python, and CUDA.
•Integrate perception, planning, and control algorithms into simulation environments to improve fidelity and reduce the Sim-to-Real gap.

Key Requirements

•Master’s degree or higher in Computer Science, Robotics, or a related field with 5+ years of professional experience (or equivalent industry experience).
•Strong production software development using Modern C++ and Python.
•Deep understanding of vehicle dynamics and kinematics with strong mathematical modeling skills.
•3+ years integrating simulation systems using physics engines/simulators such as Isaac Sim, MuJoCo, or CARLA.
•Experience designing and developing large-scale simulation systems.

Experience:5+ yearsAutonomous drivingRoboticsSimulationClosed-loop testingSim-to-Real

Education:Master's in Computer Science, Robotics, or a related field

Skills:CollaborationResearch and developmentProblem-solving

Tech Stack:C++PythonCUDA3D Gaussian Splatting (3DGS)NeRFIsaac SimMuJoCoCARLA

Company Brief

42dot

Website

Loading job details...

Preparing the role view and application actions.

42dot

1 week ago

Senior Physical AI Engineer (Simulation)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Reconstruct high-fidelity 3D environments using 3D Gaussian Splatting (3DGS) and generative AI technologies.
•Design and develop scalable simulation pipelines for closed-loop testing of AI models.
•Implement and validate physics-based vehicle dynamics and kinematics models.
•Develop and optimize high-performance simulation modules using C++, Python, and CUDA.
•Integrate perception, planning, and control algorithms into simulation environments to improve fidelity and reduce the Sim-to-Real gap.

Key Requirements

•Master’s degree or higher in Computer Science, Robotics, or a related field with 5+ years of professional experience (or equivalent industry experience).
•Strong production software development using Modern C++ and Python.
•Deep understanding of vehicle dynamics and kinematics with strong mathematical modeling skills.
•3+ years integrating simulation systems using physics engines/simulators such as Isaac Sim, MuJoCo, or CARLA.
•Experience designing and developing large-scale simulation systems.

Experience:5+ yearsAutonomous drivingRoboticsSimulationClosed-loop testingSim-to-Real

Education:Master's in Computer Science, Robotics, or a related field

Skills:CollaborationResearch and developmentProblem-solving

Tech Stack:C++PythonCUDA3D Gaussian Splatting (3DGS)NeRFIsaac SimMuJoCoCARLA

Company Brief

42dot

Website