Computer Vision Engineer (Embedded Device)

Location - Borivali

Job Title :

Job Summary :

We are looking for a passionate developer to specialize in Edge AI and Video Analytics, leveraging your strong C/C++ expertise to implement and optimize sophisticated computer vision (CV) algorithms directly on embedded platforms. Your work will enable on-device intelligence for critical features. This role focuses on optimizing AI models and CV pipelines for resource-constrained environments, delivering high-performance, real-time video analytics capabilities at the edge.

Key Responsibilities :

1. Design, develop, and optimize Edge AI/CV algorithms in C/C++ for embedded camera hardware.
2. Implement core Video Analytics capabilities and intelligent features.
3. Handle real-time video data, codecs, and RTSP streaming protocols.
4. Optimize deep learning models (TensorRT, OpenVINO) for efficient embedded inference.
5. Integrate/optimize pre-trained AI models (TensorFlow Lite, ONNX Runtime) using quantization, pruning, accelerators.
6. Write high-performance, memory-efficient C/C++ code for camera processing units (DSPs/NPUs/GPUs).
7. Work with camera hardware interfaces, low-level drivers, ISPs for optimal video processing.

Required Qualification and Expertise :

1. Bachelor's or Master's degree in Computer Science or Electronic Engineer or related field.
2. 2+ years of professional experience in Edge AI, Video Analytics or Computer Vision development for embedded hardware platforms.
3. Demonstrated experience developing API for hardware-integrated/embedded systems
4. Demonstrated expertise in designing and implementing efficient algorithms for real-time video processing and analytics on resource-constrained devices.
5. Excellent analytical and debugging skills to troubleshoot complex system-level and algorithmic issues
6. Solid understanding of real-time operating systems (RTOS) or Embedded Linux environments and their implications for application development.

7. Proven ability to profile, debug, and optimize complex C/C++ applications for performance, memory, and power efficiency on target hardware.

Must-to-have Skill Set :

1. Programming & Optimization :

   Exceptional C/C++ proficiency for high-performance, resource-constrained environments, memory management, low-level optimization, efficient data structures.

2. Edge AI & Computer Vision :

   Strong grasp of core CV algorithms (object detection, tracking, image processing), solid understanding of ML/DL concepts, experience optimizing/deploying AI models for edge inference.

3. Embedded Platform Experience :

   Proven experience developing software for resource-constrained embedded hardware, familiarity with processor architectures (ARM Cortex, AI accelerators)

4. Debugging & Tools :

   Proficiency with embedded debugging (GDB, JTAG/SWD) and performance profiling tools and embedded build systems (Makefiles, CMake).

5. Problem-Solving & Collaboration :

   Excellent analytical/debugging skills, strong communication/collaboration skills in cross-functional teams.

Good-to-have Skill Set :

1. Experience with specific camera sensor interfaces or protocols.
2. Knowledge of video analytics standards or industry benchmarks.
3. Experience with specific hardware development kits (SDKs) or toolchains from chip vendors.
4. Understanding of cloud platforms for model training or data management.
5. Prior experience with security best practices for embedded devices or secure boot processes.