Senior/Staff Machine Learning Engineer, Sensor Simulation
About the role
The Robotics team at Nuro is expanding and we are seeking a Software Engineer to join our Sensor Data and Calibration team. The ideal candidate should have experience in machine learning and software development, specifically in the creation and implementation of synthetic sensor simulation models and algorithms.
Responsibilities
- 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
Requirements
- 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
Qualifications
- Deep understanding of 3D geometry and state estimation fundamentals
- Proficiency in systems coding
- Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc.), including noise modeling
- Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models
- Experience in building ML pipelines and optimizing/productizing ML models
- Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA)
Skills
- 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.)
Benefits
Nuro offers a competitive benefits package, including health insurance, retirement plans, paid time off, and more. We are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected.
Pay
The reasonably expected base pay range for this position is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills.
Schedule
This position is full-time and is based in San Francisco, CA.