Job Description

Job Summary

Own the camera software stack on ARM-based SoC platforms — ISP pipeline configuration and tuning, sensor driver bring-up, and multi-camera synchronization for vision-heavy industrial, robotics and enterprise edge products.

Key Responsibilities

• Bring up camera sensors and ISP pipelines end to end — sensor drivers, MIPI CSI-2 configuration, V4L2/media controller graphs and HAL integration.
• Configure, validate and support tuning of ISP blocks: 3A (AE/AWB/AF), lens shading, demosaic, noise reduction, HDR, tone mapping and colour pipeline.
• Enable multi-camera use cases — hardware and software synchronization, frame alignment, multi-stream concurrency and bandwidth/latency budgeting.
• Integrate camera output with downstream vision, encode and AI inference pipelines with zero-copy buffer sharing where possible.
• Characterize and improve image quality; work with tuning tools and objective/subjective IQ evaluation methods.
• Debug frame drops, timing, buffer starvation and image artefacts using trace, ISP register dumps and capture analysis.
• Support new camera module qualification and work with hardware and module vendors on interface issues.
• Define camera validation criteria and contribute to automated camera regression coverage.

Skill Requirements

• 8–10 years in embedded camera / imaging software, including 4+ years on ISP-based platforms.
• Strong C/C++ on embedded Linux and/or Android.
• Deep V4L2, media controller framework and MIPI CSI-2 knowledge; camera sensor driver development.
• Practical ISP pipeline understanding — 3A behaviour, sensor modes, exposure/gain control, RAW to YUV processing.
• Multi-camera system experience including synchronization and concurrency management.
• Buffer management and memory sharing frameworks (dma-buf, ION/DMA heaps, GBM).
• Systematic debugging of real-time streaming defects.

Other Requirements

• Android Camera HAL3 / CameraX / Camera2 stack experience.
• Image quality tuning experience with vendor tuning tools; colour science exposure.
• Depth, stereo, ToF or event-camera pipelines.
• GPU or NPU based pre/post-processing of camera frames.
• OpenCV, libcamera or GStreamer camera source integration.