Senior/Staff Machine Learning Engineer, Sensor Simulation
Core
Developing synthetic sensor simulation models and algorithms to generate photorealistic images and realistic lidar/radar data for autonomous vehicle training.
Role type
Senior/Staff IC machine learning engineer (sensor simulation)
Builds
Synthetic sensor datasets for the Nuro Driver universal autonomy platform
Domain
Autonomous driving / Physical AI / Computer Vision
Deliverable
production ML models
Required skills
Machine learning fundamentals, deep learning model training and evaluation, Python, deep learning frameworks (PyTorch, TensorFlow, Jax), 3D geometry, state estimation
Preferred skills
NeRF, Gaussian Splatting, generative models, ML pipeline optimization, systems coding, research publications
Technologies
PyTorch, TensorFlow, Jax, NeRF, Gaussian Splatting
Responsibilities
Research and implement state-of-the-art synthetic sensor simulation methods, analyze and characterize the realism of synthetic sensor data, answer critical questions about sensor data and autonomy performance, collaborate with autonomy and infrastructure teams on map needs
Seniority
Senior/Staff, hands-on IC with potential to grow into Tech Lead
