AR/VR iOS Developer

OpenKyber LLC
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

3D Computer Graphics Software
3D Rendering
API
Systems Engineering
Computer Vision
Augmented Reality
Cloud Engineering
Nvidia CUDA
Global Positioning Systems (GPS)
Python
Node.js
OpenCV
OpenGL
Systems Development Life Cycle
TensorFlow
WebSocket
Cloud Platform System
PyTorch
Gpu Programming
Backend
Gaussian
Information Technology
Unreal Engine
gRPC

Job description

Job Description The AR/VR Systems Engineer will lead the development of an advanced Augmented Reality (AR) situational-awareness system for automotive applications. The role focuses on combining expertise in 3D rendering, computer vision, AR device geometry, and cloud-based AR content delivery. The engineer will support development activities such as evaluating 3D representation methods, implementing depth estimation algorithms, ensuring precise AR rendering, and enabling connected AR experiences. The role also involves analyzing AR HUD or wearable AR device optical geometry, field of view (FOV), and eye-box constraints. Responsibilities include modeling human eye positions, developing 3D geometric alignment techniques, building calibration procedures, and creating demonstrations that showcase visibility boundaries. The engineer will develop and optimize rendering pipelines for various 3D representations, implement algorithms for precise 3D content placement in real-world views, integrate

Requirements

Do you have experience in Unreal Engine?, perception and cloud systems, and deliver working demos, software builds, source code, and documentation.

Required Skills Strong 3D graphics experience with OpenGL, Vulkan, Unity, Unreal, CUDA, and compute shaders Expertise in 3D data representations such as Point Clouds, Meshes, NeRF, and 3D Gaussian Splatting Computer vision experience with OpenCV, SLAM/VIO, monocular or stereo depth estimation models Experience using PyTorch or TensorFlow for vision or depth networks Knowledge of AR SDKs such as ARCore, ARKit, or OpenXR Experience with AR device calibration and spatial alignment Real-time rendering and GPU programming experience AR/VR system development experience

Required Qualifications PhD in Computer Science, Computer Vision, Robotics, Electrical Engineering, Graphics, or AR/VR technologies

Additional Skills Backend or cloud development experience using Python, Node.js, or Go Experience building APIs using REST, gRPC, or WebSockets Familiarity with automotive sensors such as cameras, GPS, and IMU Experience working with HD maps and vehicle context data Experience building cloud-connected AR content delivery systems

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