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You will work on:

• Advancing AIM's perception stack and sensor fusion algorithms
• Applying hands-on solutions to real-world machines deployed in the field
• Breaking new ground as earth moving machines don't merely navigate on existing mapped roads – they modify and build the environment as they work which poses interesting novel challenges
• Research and development of state-of-the-art machine learning methods
• Hands-on applications on machines deployed in the field
• Solving novel challenges presented by autonomous machines operating in dynamically changing environments, where they modify and build the terrain in real time

Qualifications:

• Proven track record of deployed ML-based perception systems, ideally on autonomous vehicles
• Excellent grasp of machine perception methods in 2D and 3D (depth sensing)
• Experience shipping production models
• Solid mathematical foundation of machine learning
• Excellent software development skills in Python
• Proficiency in TensorFlow or PyTorch
• Creativity and curiosity for solving complex problems

Bonus Qualifications:

• Experience with robotics systems and their perception challenges
• Proficiency in point cloud processing and analysis
• Familiarity with perception sensor calibration techniques (camera, lidar, radar, etc.)
• Knowledge of state-of-the-art localization and SLAM methods