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AI Engineer

Company: Raag Solutions
Location: Belmont
Posted on: May 20, 2025

Job Description:

Experience: 7 years
Software Development and Testing - (80%)
Software and Artificial Intelligence (AI) technologies & technical skills


  • Background in Deep Neural Network Learning, Computer Vision, and Machine Learning
  • Strong programming skills with Python and frameworks such as TensorFlow/PyTorch, experience on on-premises compute and public clouds (e.g., AWS)
  • Knowledge of generating features from sensor technology like camera, lidar, radar, GPS/D-GPS, and HD maps
  • Experience with data gathering, data quality, system architecture, coding best practices
  • Ability to take initiative to launch projects and develop ideas in an interdisciplinary environment
  • Skills in extracting high-level logical structures from low-level, multi-dimensional data
  • Experience with various Neural Networks such as Transformers, CNNs, RNNs, LSTMs, GNNs
  • Familiarity with ML paradigms including supervised/unsupervised learning, reinforcement learning, self-supervised, and imitation learning, along with latest research trends
  • Specification and documentation of interfaces between software modules
  • Proficiency in programming languages/tools: Python, C++, LaTeX, Bash, CMake, Git, Linux, with knowledge of data structures, algorithms, machine learning, and mathematics
  • Experience with open-source libraries: OpenCV, OpenGL, TensorRT, Open3D, CUDA, PCL

    Project Management & Leadership

    • Experience managing multiple projects simultaneously
    • Task management including timelines, budgets, resource planning, risk management
    • Effective communication across diverse teams and time zones

      Specialized Skills - Desired

      • Experience in algorithm development for Autonomous Driving, including Perception, Sensor Fusion, Motion Prediction, Path Planning, End-to-End Driving, Simulation, V2X
      • Knowledge of current state-of-the-art technologies such as Vision-Language Models, Neural Radiance Fields, Embodied AI, Deep Sensor Fusion, Generative AI
      • Experience with AI/ML compute optimization techniques: quantization, knowledge distillation, compilation, sparse computing
      • Programming concepts: data filters/pipelines, multi-threading, programming for various SoC types, real-time systems
      • Experience in regulated industries: automotive, aerospace, medical devices
      • Knowledge in compute architectures, sensor technologies, robotics, and full vehicle interrelationships within automotive systems
      • High engagement and self-initiative
      • Experience maintaining and enhancing ML modules for autonomous vehicles, focusing on industrialization of MaaS/TaaS to increase service availability

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Keywords: Raag Solutions, Ceres , AI Engineer, Engineering , Belmont, California

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