SLAM Computer Vision Engineer

at  Harnham

SKILLS AND EXPERIENCE

• Hold a degree in a relevant subject, preferably at a PhD or Master’s level.
• Possess an excellent understanding of and extensive experience with Computer Vision models, particularly in the context of SLAM.
• Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction.
• Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS.

As a Staff Computer Vision Engineer, you will:

• Drive the development of the cutting-edge 3D AI pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing.
• Implement advanced algorithms, robust data structures, and efficient labeling processes for 3D data, ensuring seamless scalability as our Enterprise customer base grows.
• Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance.
• Take ownership of project management for AI/Vision initiatives, overseeing end-to-end execution and effectively coordinating data operations.
• Mentor and empower junior team members, providing guidance and training to foster their professional growth, while actively participating in the hiring process to expand our exceptional 3D AI team.