Tech Lead, Perception and Sensor Fusion

18 hours ago


Mountain View, California, United States Gatik AI Full time
About the Role

We are seeking an experienced Technical Lead with specialized skills in Computer Vision and Machine Learning to join our team at Gatik AI. As a key member of our team, you will be responsible for developing and implementing Machine Learning models that accurately detect and track the surrounding environment, enabling safe and reliable behavior downstream processing for our Autonomous Vehicles.

Key Responsibilities
  • Develop and implement state-of-the-art perception algorithms for autonomous vehicles to advance research in sensor fusion, 3D object detection, segmentation, and tracking in complex dynamic environments.
  • Work on multiple parts of the Perception ML pipeline: 2D and 3D, closed and open vocabulary detection, data-driven tracking, classification, and segmentation.
  • Design and implement sensor fusion, sensor degradation, and other safety-critical systems.
  • Lead initiatives to collect, augment, and utilize large-scale datasets from sensors such as cameras, LiDAR, and radar for training and validating perception models under various driving conditions.
  • Develop robust testing and validation frameworks to ensure the reliability and safety of the perception systems across diverse scenarios and edge cases.
  • Conduct thorough validation and testing of ML models in simulation and real-world environments to ensure robust performance and generalization.
  • Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance prediction accuracy and reliability.
  • Document model architectures, methodologies, and results clearly and concisely.
  • Collaborate closely with the Data Engineering and AI Research teams to define project requirements, formulate innovative concepts, and co-design ML models and be responsible for their effective deployment in a real-world trucking environment.
  • Participate in hiring processes for and manage top-notch ML Perception engineers.
Requirements
  • Ph.D. or highly qualified M.S. candidate in one or more of the following areas: Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field.
  • At least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general.
  • At least 1-3 years of research experience in one or more of the following areas: Perception (preferable), 2D and 3D Computer Vision, Statistics, Probability theory.
  • At least 1 year of technical leadership experience inside an industrial setting.
  • Experience in data science including data collection, analysis, hypothesis formulation, and verification.
  • Deep knowledge of Autonomous Driving Perception including 2D vs 3D Detection, Camera vs LiDAR vs Radar, BEV map, ML-based tracking, Sensor fusion, Sensor calibration, Sensor degradation.
  • Strong foundation in data structures, algorithm design, and complexity analysis.
  • Experience with latency analysis and optimization of safety-critical software systems.
  • Expertise in programming languages and tools critical for high-performance computing in Python/C++ including large-scale data processing, parallel programming, code optimization, and machine learning including Deep Learning frameworks like TensorFlow/PyTorch.
  • Demonstrated ability to publish research findings in top-tier technical journals and conferences.
  • Passion for Autonomous Driving.
About Gatik AI

Gatik AI is a leader in autonomous middle mile logistics, delivering goods safely and efficiently using its fleet of light & medium-duty trucks. We focus on short-haul, B2B logistics for Fortune 500 customers, enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels, and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries.

We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect, and agility. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things.



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