Gatik AI

Senior/Staff Research Engineer, Perception

Gatik AI$130K — $180K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Electrical Engineering, Computer Science, Robotics, or related field focusing on sensor fusion or machine learning
  • Minimum of 5 years' experience in perception systems for autonomous vehicles
  • Strong portfolio in LiDAR and camera perception technologies
  • Proficient in C++, Python, CUDA, TensorFlow, and PyTorch
  • Hands-on experience with sensor calibration and vehicle dynamics
  • Knowledge in deep learning optimization techniques for edge deployment
  • Proven track record of publishing research in prestigious technical journals.

Responsibilities

  • Design and implement advanced perception algorithms for autonomous vehicles
  • Develop ML models for real-time perception tasks using deep neural networks
  • Lead data collection and augmentation initiatives for model training
  • Establish testing frameworks to validate perception systems' reliability
  • Conduct field tests and simulations for performance validation
  • Collaborate with data engineering to develop large-scale datasets
  • Create data augmentation techniques to enhance synthetic datasets.

Benefits

  • Access to cutting-edge technology and resources
  • Collaborative work environment with top experts in AI and robotics
  • Opportunities for professional development and research publication
  • Diverse and dynamic work scenarios to enhance problem-solving skills
  • Involvement in pioneering projects that push the boundaries of autonomous driving.
Full Job Description
About the role:

We're currently looking for research engineers with specialized skills in LiDAR, camera, and radar perception technologies to enhance our autonomous driving systems' ability to understand and interact with complex environments. In this pivotal role, you'll be instrumental in designing and refining the ML algorithms that enable our trucks to safely navigate and operate in complex, dynamic environments. You will collaborate with a team of experts in AI, robotics, and software engineering to push the boundaries of what's possible in autonomous trucking.

What you'll do:
  • Design and implement cutting-edge perception algorithms for autonomous vehicles, focusing on areas such as sensor fusion, 3D object detection, segmentation, and tracking in complex dynamic environments
  • Design and implement ML models for real-time perception tasks, leveraging deep neural networks to enhance the perception capabilities of self-driving trucks
  • Lead initiatives to collect, augment, and utilize large-scale datasets 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 field tests and simulations to validate and refine perception algorithms, ensuring robust performance in real-world trucking routes and conditions
  • Work closely with the data engineering team to build and maintain large-scale datasets for training and evaluating perception models, including the development of data augmentation techniques


What we're looking for:
  • Master's or PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, signal processing, or machine learning
  • At least 5 years of hands-on experience in developing perception systems for autonomous vehicles, with a strong portfolio in LiDAR and camera-based perception, modern perception technologies, and synthetic data application
  • Expertise in programming languages and tools critical for high-performance computing and machine learning, including C++, Python, CUDA, TensorFlow, and PyTorch
  • Hands-on experience with sensor calibration, vehicle dynamics, and environmental modeling
  • Strong foundation in data structures, algorithm design, and complexity analysis specifically tailored to real-time, high-reliability systems
  • Experience with deep learning optimization for edge deployment, including quantization, pruning, and knowledge distillation
  • Demonstrated ability to publish research findings in top-tier technical journals and conferences

About Gatik AI

Gatik AI is a technology company that develops autonomous vehicles for business to business short-haul logistics. The company was founded in 2017 by Gautam Narang and Arjun Narang. Gatik AI's vehicles are designed to operate on fixed routes between distribution centers, warehouses, and retail locations. The company's mission is to deliver goods safely, efficiently, and on time, while reducing road congestion and carbon emissions. Gatik AI has partnerships with Walmart and Loblaw Companies Limited, two of the largest retailers in North America. The company is headquartered in Vancouver, Canada, with offices in Palo Alto, California.
Learn more about Gatik AI
Size
50 employees
Industry
Founded
2017

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