Deskripsi Pekerjaan
Join our innovative team as a Senior Vision Systems Engineer and play a pivotal role in designing next-generation computer vision solutions. We are seeking a technical leader to design and implement advanced computer vision and image processing pipelines, specifically optimized for real-time performance on consumer devices. You will collaborate closely with ISP (Image Signal Processing) teams to push the boundaries of what is possible on edge hardware.
In this role, you will be responsible for the full lifecycle of vision algorithms, from research and prototyping to deployment and optimization on resource-constrained embedded platforms. If you are passionate about bridging the gap between deep learning models and hardware performance, we want to hear from you.
Tanggung Jawab
- Design, develop, and optimize advanced computer vision and image processing algorithms for real-time applications on consumer hardware.
- Collaborate with ISP teams to integrate camera sensors and develop efficient image signal processing pipelines.
- Optimize existing vision models for low-latency and reduced power consumption on embedded devices.
- Debug and troubleshoot complex vision systems in production environments to ensure stability and accuracy.
- Research and prototype new computer vision techniques and libraries (e.g., OpenCV, YOLO, Deep Learning frameworks).
- Document technical architecture, algorithms, and implementation details for the engineering team.
- Provide technical mentorship and guidance to junior engineers on best practices in vision system design.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
- Minimum of 5 years of professional experience in Computer Vision, Image Processing, or Embedded Systems.
- Strong proficiency in programming languages such as Python, C++, and familiarity with OpenCV.
- Experience with embedded systems development (ARM, DSP, FPGAs) or mobile platforms (Android/iOS).
- Deep understanding of machine learning frameworks (TensorFlow, PyTorch) and model optimization techniques.
- Proven ability to work under real-time constraints and optimize for high performance.
- Excellent problem-solving skills and the ability to communicate complex technical concepts effectively.