Valiance Solutions - Embedded Engineer - Video Processing

Role : Embedded Engineer

Location : Noida sector 62

Job Overview :

We are seeking a talented and motivated Embedded Engineer with a minimum of 2 years of experience to join our team. The ideal candidate will have hands-on experience in processing video feeds on edge devices, working with IP cameras, and streaming camera feeds using protocols such as RTSP.

The role also requires the ability to establish two-way communication between edge devices and cloud platforms. Familiarity with platforms such as Raspberry Pi, Arduino, or ESP32, along with strong programming skills in Python, Shell scripting, and Bash, is highly desirable.

Key Responsibilities :

- Develop and optimize embedded systems for processing video feeds directly on edge devices.

- Work with IP cameras and handle real-time video streaming using RTSP and other relevant protocols.

- Implement and manage two-way communication between edge devices and cloud platforms for data transfer and control.

- Collaborate with cross-functional teams to integrate embedded systems with cloud-based solutions.

- Troubleshoot and resolve issues related to camera feeds, video processing, and connectivity.

- Ensure the performance, stability, and security of embedded systems in production environments.

Must-Have Qualifications :

- At least 2 years of experience in embedded systems development with a focus on video feed processing on edge devices.

- Hands-on experience with IP cameras and real-time video streaming protocols such as RTSP.

- Strong understanding of establishing two-way communication between edge devices and cloud platforms.

- Proficiency in working with embedded platforms and hardware/software integration.

- Experience working with development boards such as Raspberry Pi, Arduino, or ESP32.

- Proficiency in Python, Shell scripting, and Bash for embedded application development, automation, and deployment tasks.

- B.Tech in Electronics, Electrical, Computer Science, or a related field

Preferred Qualifications :

- Experience with AI/ML-based video processing techniques is a plus.

- Familiarity with cloud services like AWS, Azure, or Google Cloud.

- Knowledge of low-level programming and debugging skills.