Software Engineer, Nuro

• The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g. , NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.)
• One of:
• PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience
• Masters and 4+ years of industry experience
• 5+ years of industry experience
• Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models
• Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax

Desirable

• Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team
• We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms
• Research, develop, and implement state-of-the-art synthetic sensor simulation methods
• Analyze and characterize the realism and utility of synthetic sensor data
• Answer critical questions about sensor data and autonomy performance
• Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements