Nuro
Senior/Staff Machine Learning Engineer, Sensor Simulation
$194K–$291K
Mountain View, California (HQ) · Staff · Full-time · Posted Jul 10, 2026
- Experience
- PhD and 3+ years of industry experience; or a master’s degree and 4+ years; or 5+ years of industry experience.
- Education
- PhD in machine learning, computer science, electrical engineering, robotics, or a related field; or master’s degree. No equivalent-experience wording stated.
About the job
Develops machine-learning methods for synthetic sensor simulation and evaluates how useful and realistic the resulting data is for autonomous driving.
What you'll do
- Research, develop, and implement synthetic sensor simulation methods.
- Analyze the realism and utility of synthetic sensor data and answer questions about sensor data and autonomy performance.
- Collaborate with autonomy, infrastructure, and systems teams on map needs and requirements.
What they ask for
- Deep understanding of ML fundamentals and hands-on experience training and evaluating modern ML models.
- Strong Python skills and experience with deep learning frameworks such as PyTorch, TensorFlow, or Jax.
Nice to have
- Experience simulating or modeling real sensors, including noise modeling.
- Experience with modern ML graphics techniques such as NeRF, Gaussian Splatting, or generative models.
Pay
USD 193,930–USD 291,150 base salary
Tools
Python, PyTorch, TensorFlow, Jax, NeRF, Gaussian Splatting
AI focus
Uses machine learning to generate synthetic sensor data, including photorealistic images and realistic lidar and/or radar data.
Model-written summary · the original posting is authoritative