Netradyne - Multimedia Embedded System Engineer - C/C++
3 months ago
Job Description :
- Demonstrate a strong enthusiasm for learning and problem-solving by developing creative and effective solutions for our advanced embedded vision platforms.
- Your role will involve staying abreast of the latest technologies and trends to enhance our systems.
- Take charge of designing and implementing solutions that handle the real-time processing of audio and video data captured by cameras.
- You will be responsible for ensuring the efficient storage of this data through appropriate encoding techniques, optimizing both performance and quality.
- Manage and troubleshoot various points in the data pipeline, including source and sink nodes.
- This involves setting up and handling probes to monitor and ensure the functionality and reliability of the pipeline throughout its stages.
- Extensive experience with Linux and Android operating systems, along with middleware that supports multimedia and streaming applications.
- Proficiency in multimedia systems, including camera integration and streaming frameworks such as GStreamer or equivalent technologies.
- You should be comfortable with video and audio pipelines and their complexities.
- Strong programming skills in C and C++, with a proven track record of developing and implementing software modules for embedded systems.
- Hands-on experience in the design, development, and implementation of software for embedded systems.
- You should be able to translate complex requirements into functional software solutions.
- Excellent verbal and written communication skills are essential.
- You must be able to effectively convey complex technical information and adapt quickly to a dynamic and challenging work environment.
- Team spirit and the ability to collaborate with colleagues across different functions are key.
- Device Drivers & RTOS : Knowledge of Linux device drivers and real-time operating systems (RTOS) is advantageous.
- This experience will help in developing more efficient and robust embedded solutions.
- Familiarity with GPU programming, including CUDA, OpenCL, or SNPE (Snapdragon Neural Processing Engine), and experience with algorithm optimization will be beneficial.
- These skills will contribute to enhancing the performance and efficiency of our systems.
- A Bachelor's or Master's degree in Engineering (BE/ME) or Technology (BTech/MTech) in a related field is required.
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