Deep Learning Engineer
4 weeks ago
Job description
About us :
Lincode is an Artificial Intelligence company-based head quartered in the San Francisco Bay area and having offices in Michigan. We specialize in increasing the profitability of manufacturing companies globally. Our unique computer vision-based solution detects QA issues with higher rates of accuracy and at lower costs with our no code deep-tech platform infused with pre-trained defect libraries. Our proprietary model incorporates AI to detect manufacturing defects of less than 4 microns at 120 FPS. Our solution is deployable with existing cameras or basic camera equipment in open environments and can be operational within a single month of engagement.
Job Title : Deep Learning Engineer (Jetson Platform)
Summary :
We are seeking an experienced Deep Learning Engineer to join our team and contribute to the development of cutting-edge AI solutions powered by NVIDIA's Jetson platform. The ideal candidate will have a strong background in deep learning and computer vision, with hands-on experience working with the Jetson embedded AI computing platform.
Responsibilities :
- Design, develop, and optimize deep learning models for computer vision, object detection, and other AI applications on the Jetson platform.
- Collaborate with cross-functional teams to understand project requirements and deliver tailored AI solutions.
- Leverage the Jetson platform's GPU acceleration capabilities to optimize model performance and inference speed.
- Implement efficient data pipelines and preprocessing techniques for training and deploying deep learning models
- Conduct research and stay up-to-date with the latest advancements in deep learning, computer vision, and embedded AI
- Contribute to the development of tools, libraries, and frameworks for streamlining the deep learning workflow on Jetson devices
- Participate in code reviews, documentation, and knowledge-sharing initiatives within the team
- Bachelor's or master's degree in computer science, Electrical Engineering, or a related field
- Minimum of 3 years of experience in deep learning and computer vision, with a focus on embedded AI or edge computing
- Proven expertise in working with NVIDIA Jetson platforms, including model deployment, optimization, and integration
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Caffe
- Experience with CUDA, cuDNN, and GPU programming for accelerating deep learning workloads
- Familiarity with OpenCV, ROS (Robot Operating System), or other computer vision libraries
- Excellent problem-solving and analytical skills with the ability to break down complex problems
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with deploying deep learning models in real-world applications, such as robotics, autonomous vehicles, or industrial automation.
- Knowledge of embedded systems, real-time operating systems, and embedded Linux
- Familiarity with containerization technologies like Docker for deploying AI applications
- Passion for staying up-to-date with the latest advancements in deep learning and AI
- Contributions to open-source projects or research publications in relevant fields.
(ref:hirist.tech)
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