About the job
About Us
Nuro is a pioneering self-driving technology company committed to making autonomy accessible for everyone. Established in 2016, we are developing the world’s most scalable autonomous vehicle, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to enable a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to large-scale autonomous vehicles, paving the way for a safer, more connected future.
Position Overview
Our robotics division is expanding, and we are on the lookout for an experienced Software Engineer to join our Sensor Data and Calibration team. We seek a candidate with a strong background in robotics and machine learning to create synthetic sensor simulation models and algorithms. The ideal applicant will possess hands-on experience with research, development, and implementation of machine learning techniques (such as NeRF or Gaussian splatting) aimed at generating synthetic sensor data, including photorealistic images and realistic lidar and/or radar outputs.
Your Responsibilities
- Research, develop, and implement cutting-edge synthetic sensor simulation methodologies.
- Evaluate and characterize the authenticity and utility of synthetic sensor data.
- Address critical inquiries regarding sensor data and the performance of autonomous systems.
- Collaborate with cross-functional teams to establish mapping needs and specifications.
Candidate Profile
- One of the following qualifications:
- PhD in machine learning, computer science, electrical engineering, robotics, or a related discipline with at least 3 years of industry experience.
- Master's degree with a minimum of 4 years of industry experience.
- 5+ years of relevant industry experience.
- In-depth understanding of machine learning principles, with practical experience in training and evaluating modern ML models.
- Proficient in Python, with familiarity in deep learning frameworks like PyTorch, TensorFlow, or Jax.
Desired Skills
- Comprehensive knowledge of 3D geometry and state estimation concepts.
- Strong programming skills in systems coding.
- Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc.), including noise modeling.
- Familiarity with contemporary ML graphics techniques, such as NeRF, Gaussian Splatting, and/or generative models.

