NGAS AR/VR Digital Content Developer_Senior Engineer

Renault Nissan Technology & Business Centre India; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Renault Nissan Technology & Business Centre India is seeking an experienced AR/VR/ML engineer to build production-ready AR/VR models and interpret complex wiring diagrams for aftersales support.

The role involves developing Unity-based CV/ML solutions, integrating sensor data, and leveraging ARCore/ARKit frameworks to enhance vehicle servicing and diagnostics. Strong Python and ML framework experience is required.

Qualifications

• Proficiency in AR/VR model development for production environments.
• Strong coding skills in C#, C++, Python for ML and production-grade code.
• Experience with AR frameworks and sensor fusion for AR/VR systems.

Responsibilities

• Build AR/VR models for production environments and interpret aftersales wiring diagrams.
• Develop Unity-based computer vision and ML models.
• Integrate sensor data to support AR/VR systems.

Skills

AR/VR development

C#, C++, Python

Unity/Unreal Engine

ARCore/ARKit

Sensor fusion

Unity CV/ML

Sensor data integration

Python for ML

ML/AI frameworks

Tools

OpenCV

TensorFlow

Keras

PyTorch

Scikit-Learn

Matplotlib

Pandas

NumPy

Job description

"1. Proficiency in building AR/VR models for production environments along with aftersales wiring diagram intrpretation skill."

• Advanced skills in C#, C++, and Python development.
• Strong knowledge of AR/VR platforms like Unity and Unreal Engine with the capability of servicing the vehicle.
• Experience with AR frameworks such as ARCore &ARKit
• Knowledge of sensor fusion techniques for integrating data from multiple sensors
• Experience in developing Unity-based computer vision (CV) and machine learning (ML) models
• Hands-on experience with integrating sensor data for AR/VR systems.
• Proficiency in Python for machine learning and writing production-grade code.
• Machine Learning & AI: Advanced understanding of supervised, unsupervised, and reinforcement learning. Familiarity with deep learning frameworks such as OpenCV, TensorFlow/Keras/PyTorch, Scikit-Learn, Matplotlib, Pandas, NumPy.