Embedded Software Engineer

AjnaLens; Thane; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

A technology company in Thane is seeking an experienced Embedded Software Engineer – Camera Software Developer. The role involves firmware development, camera sensor integration, and system-level management. The ideal candidate has over 6 years of experience and a deep understanding of camera software development. Join us and contribute to innovative projects in the camera technology sector.

Qualifications

• 6+ years of experience in firmware development.
• Experience in camera software development and integration.
• Proficient in debugging tools like v4l2-ctl and media-ctl.

Responsibilities

• Develop and customize V4L2 drivers for Linux-based systems.
• Integrate camera sensor drivers over MIPI CSI-2.
• Perform camera bring-up and signal validation.
• Handle system-level integration and power management.

Skills

Firmware development

V4L2 (Video4Linux2)

Camera sensor drivers integration

I2C communication

GPIO handling

DMA and interrupt handling

Linux media controller framework

GStreamer

Job description

Direct message the job poster from AjnaLens

Overview

Ajnalens is looking for Embedded Software Engineer – Camera Software Developer to join our team at Thane. The ideal candidate should have experience working in camera software development and integration. We’re also proud to share that Lenskart is now our strategic investor — a milestone that reflects the impact, potential, and purpose of the path we’re walking.

Minimum work experience required:

Qualifications

• 6+ years of experience in firmware development with below skills
• 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.
• 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.
• 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)
• Auto exposure (AE), auto white balance (AWB), auto focus (AF)
• Use of tuning tools: Working with OEM-specific or third-party tuning tools (e.g., from Qualcomm, MediaTek, Sony).
• 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.
• 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

• Logic analyzer or I²C sniffer for camera debugging.
• Use of test patterns and virtual sensors for simulation.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Industries: Technology, Information and Media and Computer Hardware Manufacturing

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