Embedded Software Engineer

Namaskaram!

Ajnalens is looking for Embedded Software Engineer – Camera Software Developer to join our team at Thane.

also proud to share that Lenskart

🔗 Read more here:LinkedIn Post

Minimum work experience required:

• 6+ years of experience in firmware development with below skills

Low-Level Camera Driver Development:

• Development and customization of

  V4L2 (Video4Linux2)

  drivers for Linux-based systems.
• Integration of

  camera sensor drivers

  (e.g., OV5640, IMX219, GC2145) over

  MIPI CSI-2, DVP, or parallel interfaces.

• Handling

  sensor initialization sequences

  ,

  register-level control

  , and

  I2C communication.

• Support for features like

  exposure, gain, white balance, flip/mirror

  , and

  frame size control.

Camera Interface & Communication:

• Experience with

  I2C (register control)

  +

  MIPI CSI-2 (video stream)

• Working with

  GPIO-based power/reset/enable

  pins.
• Handling camera

  frame synchronization (VSYNC/HSYNC/PCLK)

  on parallel interfaces.
• Using

  DMA and interrupt handling

  for image data transfer.

Camera Stack & Middleware Integration:

• Linux media controller framework: configuring

  subdev, pipeline graph

  , and

  media entities.

• Integration with

  ISP (Image Signal Processor)

  or external ISPs.
• Configuration of

  Device Tree

  nodes for camera sensors and pipelines.
• Familiar in Porting to frameworks like

  GStreamer

  ,

  OpenCV

  , or

  MMAL (on Raspberry Pi).

Testing & Validation:

• Camera bring-up, signal validation (oscilloscope, logic analyzer)
• Debugging with

  v4l2-ctl

  ,

  media-ctl

  ,

  dmesg

  , and I2C dumps
• Image quality verification (color balance, resolution, noise levels, focus)
• Tuning pipeline stages:
• Black level correction
• Lens shading correction (LSC)
• Auto exposure (AE), auto white balance (AWB), auto focus (AF)
• Demosaicing
• Noise reduction (NR)
• Color correction matrix (CCM)
• Gamma correction
• Edge enhancement
• Use of tuning tools: Working with OEM-specific or third-party tuning tools (e.g., from Qualcomm, MediaTek, Sony).
• Lab testing under various lighting conditions.
• Adjusting ISP parameters to achieve desired IQ metrics: sharpness, noise level, color accuracy, dynamic range.
• Scene-based tuning: Supporting different use cases like HDR, low-light, bokeh, or fast motion.
• Frame capture tools: Capture raw/YUV image buffers for analysis.
• IQ evaluation tools: Check color charts, resolution charts, noise charts, etc.
• ISP performance tests: Latency, frame drop, throughput, and thermal profiling.
• Long-run and stress testing: Continuous camera operation to test robustness.

System-Level Integration:

• Power management and suspend/resume handling.
• Thermal impact of continuous streaming and optimization.
• Handling multi-camera setups and synchronization.
• Integration with

  ISP tuning tools

  (e.g., for lens shading, color correction matrices).

Advanced Integration (Optional):

• AI camera pipelines

  : integration with NN accelerators or edge inference engines.
• Low-latency streaming or frame capture for vision-based triggers (e.g., head pose, object detection).
• Integration with SLAM / AR engines using synchronized camera + IMU data.
• Compressed video streaming (H.264/H.265) over USB, Wi-Fi, or BLE.

Tools & Frameworks:

• v4l2-ctl, media-ctl, i2cdetect, i2cget/set, cheese, GStreamer, FFmpeg.
• Logic analyzer or I²C sniffer for camera debugging.
• Use of test patterns and virtual sensors for simulation.