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Ajna Lens
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Mumbai, India Ajna Lens Full timeDescription :AjnaLens, founded in 2014, is Indias leading AI-powered Mixed Reality company. We build futuristic products combining AR, AI, and hardware to empower individuals and create grassroots-level impact. We are seeking a Senior iOS Developer to take ownership of key features and drive the development of our flagship iOS application. This role involves...
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Ajna Lens
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Mumbai, Maharashtra, India AjnaLens ( a unit of DIMENSION NXG PRIVATE LIMITED Full time ₹ 12,00,000 - ₹ 36,00,000 per year\AjnaLens is looking for a passionate Solutions Architect to join our team at Thane (Maharashtra India). We are seeking someone with 5+ years of hands-on experience in managing Kubernetes clusters, deploying and maintaining applications, and ensuring system reliability. Experience in automation, monitoring, and implementing security best practices will be...
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Ajna Lens
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Senior Android Developer
11 hours ago
Navi Mumbai, India Ajna Lens Full timeDescription : founded in 2014, is Indias leading AI-powered Mixed Reality company. We build futuristic products combining AR, AI, and hardware to empower individuals and create grassroots-level impact. We are seeking a Senior Android Developer to take ownership of key features and drive the development of our flagship Android application. This role involves...
Ajna Lens
4 weeks ago
Description :AjnaLens is looking for an Embedded Firmware Engineer to join our team at Thane, Maharashtra. We are seeking an experienced professional with a strong background in camera software development and integration for embedded systems.The ideal candidate should have hands-on expertise in low-level camera driver development, sensor integration, and ISP tuning for Linux-based platforms. This role will involve close collaboration with hardware, system software, and vision teams to ensure high-quality camera performance across products.Top 3 Daily Tasks :- Develop, customize, and integrate camera sensor drivers on Linux-based embedded platforms.- Debug, validate, and optimize camera pipelines including ISP, image tuning, and data flow.- Collaborate with hardware and vision teams for sensor bring-up, testing, and performance optimization.Minimum Work Experience Required :- 6+ years of experience in firmware or embedded software development with a focus on camera systems.- Proven track record in low-level driver integration, debugging, and image quality tuning.Core Technical Expertise :- Low-Level Camera Driver Development- Development and customization of V4L2 (Video4Linux2) drivers for Linux-based systems.- Integration of camera sensors (e.g., OV5640, IMX219, GC2145) via MIPI CSI-2, DVP, or parallel interfaces.- Register-level control, IC communication, and sensor initialization sequences.- Implementation of key features: exposure, gain, white balance, flip/mirror, and frame size control.- Camera Interface & Communication- Proficiency with IC, MIPI CSI-2, and GPIO-based power/reset/enable control.- Frame synchronization handling (VSYNC/HSYNC/PCLK) for parallel interfaces.- Experience with DMA and interrupt-driven data transfer mechanisms.- Camera Stack & Middleware Integration- Familiarity with Linux media controller frameworks (subdev configuration, pipeline graphs).- Integration with ISPs (Image Signal Processors) and configuration via Device Trees.- Experience porting camera functionality to frameworks like GStreamer, OpenCV, or MMAL (Raspberry Pi).Testing & Validation :- Hands-on in camera bring-up, signal validation, and debugging (v4l2-ctl, media-ctl, dmesg, IC dumps).- Image quality tuning across pipeline stages (AE, AWB, AF, NR, CCM, Gamma, Edge Enhancement).- Use of OEM or third-party tuning tools (Qualcomm, MediaTek, Sony).- Lab testing under varied lighting and environmental conditions.- ISP performance validation: latency, frame drop, throughput, and thermal profiling.- Long-run and stress testing for robustness.System-Level Integration :- Power management and suspend/resume handling for continuous streaming.- Optimization of thermal performance and power efficiency.- Multi-camera setup integration and synchronization with ISPs and tuning tools.Advanced Integration (Optional) :- AI camera pipelines and edge inference integrations.- Low-latency vision systems (head pose, object detection).- SLAM/AR integration with synchronized camera and IMU data.- Compressed video streaming (H.264/H.265) over USB, Wi-Fi, or BLE. (ref:hirist.tech)
