AI Systems Engineer Edge Computing IRC216294

3 tygodni temu


Warszawa, Mazovia, Polska GlobalLogic Pełny etat

GlobalLogic is seeking an experienced AI Systems Engineer (Edge Computing) to join their engineering team. If you're someone with a knack for AI and an interest in self-driving cars, keep on reading

Requirements:
  • Machine Learning and Deep Learning: Understand ML and deep learning principles, algorithms, and architectures. Familiarity with models like CNNs, RNNs, and transformers for applications such as image processing and natural language processing.
  • Model Conversion and Optimization: Expertise in converting ML models to ONNX format and optimizing them with NVIDIA TensorRT on Jetson devices.
  • NVIDIA Jetson Platforms: Hands-on experience with Jetson Nano, TX2, Xavier NX, or AGX Xavier, including setup and configuration.
  • Dependency Management: Proficiency in solving compatibility issues during model deployment.
  • Programming Languages: Strong skills in C++ and Python, experience with PyTorch, TensorFlow.
  • Environment and Tools: Familiarity with Docker, virtual environments, and version control systems like Git.

Additional skills that would be a plus:

  • Edge AI Applications: Understanding Edge AI concepts and deploying solutions on edge devices.
  • Data Preprocessing: Skills in data augmentation and transformation techniques.
  • Benchmarking: Experience in measuring model performance on Jetson platforms.
  • Troubleshooting: Ability to debug hardware and software issues.
Responsibilities:
  • Solution Porting: Leading efforts to port machine learning solutions to NVIDIA Jetson hardware.
  • Performance Optimization: Optimizing machine learning models for NVIDIA Jetson hardware.
  • Integration and Testing: Integrating models into the target hardware environment and conducting thorough testing.
  • Collaboration and Communication: Serving as the liaison between ML engineers and hardware specialists.
What Do We Offer?

At GlobalLogic, they offer a supportive work environment where you can fully utilize your talents and create innovative products. They believe in work-life balance and provide flexibility in work location and hours.

  • Keep the balance. Work-life balance
  • Support of health and sports activities
  • Relocation Program
  • Learning and professional growth
  • Create more than just a code. Make an impact beyond the code
  • Sustainability and Social Responsibility
  • Technology first

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