Senior ML Engineer: Sensor Simulation for Autonomy

The Robot Age; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Nuro is hiring a senior or staff ML engineer to build synthetic sensor simulation for autonomous driving. The role focuses on generating realistic camera, lidar, or radar data and measuring how simulated data improves autonomy performance.

The position sits between sensor modeling, modern ML graphics, evaluation, and production autonomy, with references to NeRF, Gaussian splatting, generative models, and real sensor noise as relevant areas.

Qualifications

• Background in ML, robotics, computer science, or electrical engineering.
• Hands-on experience training and evaluating modern ML models.
• Strong Python skills and experience with deep learning frameworks.
• Experience with sensor modeling, 3D geometry, generative methods, or ML pipelines is a plus.

Responsibilities

• Research and implement synthetic sensor simulation methods
• Characterize the realism and utility of generated sensor data
• Answer evaluation questions about how sensor data affects autonomy performance
• Collaborate with autonomy, infrastructure, and systems teams on simulation needs

Skills

ML/robotics background

Python

Deep learning frameworks

3D geometry

Sensor modeling

Generative methods

ML model evaluation

Education

ML, robotics, CS, or EE background

Tools

PyTorch

TensorFlow

Job description

Nuro is hiring a senior or staff ML engineer to build synthetic sensor simulation for autonomous driving. The role focuses on generating realistic camera, lidar, or radar data and measuring how simulated data improves autonomy performance.

The position sits between sensor modeling, modern ML graphics, evaluation, and production autonomy, with references to NeRF, Gaussian splatting, generative models, and real sensor noise as relevant areas.