Senior Android / Ar Engineer

October 19, 2026

Remote

Senior

Description

A small team is building a mobile capture experience that turns real-world spaces into interactive 3D environments using phones, 360° cameras and drones. The product serves construction and other workflows needing a reliable spatial record of the real world. The company is looking for a Senior Android / AR Engineer who owns core parts of the Android capture and spatial tracking experience, working closely with computer vision, 3D, backend and product teams.

Responsibilities

Build ARCore-based capture workflows for scanning real-world environments
Work directly with ARCore sessions, tracking states, camera poses, anchors and coordinate systems
Collect and time-align camera frames, IMU measurements, GPS / location updates and ARCore poses for the 3D reconstruction pipeline
Handle tracking loss, relocalization, interruptions, motion blur, low light and device variability
Design capture guidance that helps non-technical users produce reliable spatial data
Keep long capture sessions efficient across CPU, GPU, memory, battery and thermal constraints
Manage large media files, background processing, uploads, retries and synchronization
Debug device-specific behavior and shape an architecture that supports new capture modes

Requirements

Shipped at least one ARCore-based AR product used by real users, able to describe contribution, production challenges and resolutions
Strong production Android development experience and excellent Kotlin skills
Deep understanding of the ARCore session lifecycle, tracking behavior and real-world failure cases
Practical experience with camera poses and transforms, world and local coordinate systems, anchors, camera intrinsics and device orientation
Hands-on experience collecting phone sensor data and synchronizing streams with different timestamp domains, sampling rates, latencies and dropped samples
Production experience with Camera2, ARCore Shared Camera API, MediaCodec and hardware video encoding including device-specific constraints
Strong understanding of concurrency, memory management, application lifecycle and performance optimization
Ability to investigate issues across Android devices and chipsets with engineering ownership and product judgment
Relevant additional experience: visual-inertial odometry (VIO) or SLAM
Native C++ / Android NDK integration
ARCore Depth API and ARCore Recording & Playback API for reproducible tracking tests
On-device ML: integrating and optimizing neural networks, especially depth estimation or mesh generation without LiDAR