Ar/Vr Engineer

American IT Systems•Warren, MI

5d•Onsite

About The Position

The AR/VR Systems Engineer will lead the development of an advanced Augmented Reality (AR) situational‑awareness system for automotive applications. This role merges expertise across 3D rendering, computer vision, AR device geometry, and cloud‑based AR content delivery, supporting all tasks outlined in the SODW—including 3D representation evaluation, depth estimation, precise AR rendering, and connected AR experiences.

Requirements

Strong background in 3D graphics: OpenGL, Vulkan, Unity, Unreal, CUDA, compute shaders.
Deep understanding of 3D data structures: Point Cloud, Mesh, NeRF, 3D Gaussian Splatting.
Computer vision expertise: OpenCV, SLAM/VIO, monocular/stereo depth nets, PyTorch/TensorFlow.
Experience with AR SDKs (ARCore, ARKit, OpenXR) and AR device calibration.
Backend/cloud development using Python, Node.js, Go, REST, gRPC, WebSockets.
Familiarity with automotive sensors, GPS, IMU, and HD maps.
AR/VR development
Computer vision & depth estimation
Real time rendering / GPU programming
AR HUD or head mounted display systems
Cloud based 3D content delivery

Nice To Haves

PyTorch/TensorFlow

Responsibilities

Analyse AR HUD or wearable AR device optical geometry, field of view (FOV), and eye box constraints.
Model human eye positions and develop 3D geometric alignment methods.
Build calibration procedures and demos showcasing visibility boundaries.
Develop and optimize rendering pipelines using 3D representations such as Point Clouds, Meshes, 3D Gaussian Splatting (3DGS), and NeRF.
Evaluate performance for automotive AR targets (e.g., 1080p @ 30 FPS).
Compare computational and communication costs and recommend the best representation format.
Implement algorithms to compute object depth and 3D world location using Camera detections, High-definition maps, and Depth sensors.
Ensure AR elements are rendered at correct 3D positions and orientations within the user's FOV.
Develop a proof of concept Edge/Cloud service to respond with 3D AR content based on current vehicle context (GPS, camera).
Handle metadata-driven 3D asset placement in real time AR views.
Optimize communication overhead for streaming 3D content.
Integrate cloud, perception, and rendering components into a unified AR system.
Support device level testing (AR HUDs or wearable AR devices).
Deliver demos, software builds, source code, and documentation according to GM expectations.