Embedded Engineer
4 weeks ago
Job Role: Embedded Engineer – Computer Vision & GPU Architecture
Experience: 4-6 Years
Location: Hyderabad
Job Summary:
We are seeking a talented Embedded Engineer with 4 - 6 years of experience in Embedded Engineering. The ideal candidate will be responsible for designing, developing, and optimizing embedded software solutions with a focus on computer vision applications and CNN-based algorithms, leveraging GPU acceleration. You will be working on a Linux platform, employing your expertise in OpenCL/C++ to exploit the full potential of modern GPU Architecture for real-time processing tasks.
Key Responsibilities:
Develop and maintain embedded software for computer vision applications.
Utilize OpenCL/C++ to implement high-performance algorithms tailored for GPU acceleration.
Design and optimize Convolutional Neural Networks (CNN) for object detection, classification, or segmentation tasks in embedded environments.
Integrate and validate software on Linux-based embedded systems.
Debug and troubleshoot issues related to performance, stability, and hardware-software integration.
Collaborate with hardware engineers to ensure efficient utilization of GPU Architecture.
Analyze system performance using profiling tools to identify bottlenecks.
Refine code and algorithms to maximize throughput and minimize latency in real-time applications.
Stay current with industry advancements in computer vision, CNN techniques, and GPU optimization strategies.
Work closely with cross-functional teams to deliver robust embedded solutions.
Document development processes, code changes, and system optimizations.
Provide technical support and mentorship to junior team members.
Technical Skills:
OpenCL/C++
Computer vision
CNN
Linux
GPU Architecture
Required Qualifications:
Education:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Experience:
4 - 6 years in Embedded Engineering with hands-on experience in developing and optimizing software for embedded systems.
Proven expertise in OpenCL/C++ programming and applying it to leverage GPU Architecture.
Solid experience in developing computer vision applications using CNN techniques on Linux platforms.
Strong understanding of hardware-software integration and performance optimization in embedded systems.
Preferred Qualifications:
Experience with real-time processing and optimization for high-performance computing.
Familiarity with additional scripting languages (e.g., Python) for automation and data analysis.
Prior exposure to emerging trends and tools in computer vision and deep learning for embedded applications.
Excellent problem-solving, communication, and teamwork skills.
Why Join Us?
This role offers an exciting opportunity to work on cutting-edge technologies in the realm of computer vision and GPU acceleration. You will be a key contributor in developing innovative embedded solutions that power real-time applications across various industries. If you are passionate about leveraging OpenCL/C++, Computer vision, CNN, Linux, and GPU Architecture to create high-performance embedded systems, we encourage you to apply.
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