Senior Robotic Ai-Perception Engineer

Vertex Elite is currently seeking a qualified "Senior Robotic Ai-Perception Engineer" to join our team.

If you or someone you know is interested, please feel free to reach out for more details or share your updated resume

Work Authorization: USC or any valid USA work authorization

Job Type: C2C

Duration:
Long term

• Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection, localization, classification, dynamic tracking, etc.
• Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real‑time deployment on
• Design and maintain cloud‑based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
• Collaborate with high‑caliber teams of hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning and controls.
• Develop offline tools to test and validate perception models in both simulation and real‑world environments.
• Stay updated with emerging technologies and best practices in robotic perception and lead and participate academic/industrial collaborations.
• Generate intellectual property, document results and publish papers.

• Passionate about robotics, with a strong desire to accelerate the application of robotics with AI.
• Master’s, or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
• 3+ years of experience with a proven track record of developing and deploying AI/ML, perception, computer vision (e.g. mono and stereo cameras, RGB-D, event camera, LiDAR, etc) on robotic systems.
• Proficiency in Python or C++ with hands‑on experience on deep learning frameworks such as Tensor Flow and PyTorch.
• Solid understanding of robotics fundamentals, perception and navigation methods (e.g. SLAM, planning) and their typical strengths & shortcomings.
• Consistently seeking opportunities and embracing challenges to drive self‑growth and improvement.

• PhD in Computer Science, Machine Learning, Robotics, Computer Vision or a related research field.
• Hands‑on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
• Experience with robotics frameworks such as ROS/ROS2, (e.g., Nav2, Move It).
• Understanding of CI/CD pipelines and modern software development practices.