A Software Engineer in Nuro's Sensor Data and Calibration team focusing on developing synthetic sensor simulation models and algorithms using machine learning techniques to enhance autonomous vehicle perception systems.
Key Responsibilities
Research, develop, and implement synthetic sensor simulation methods
Analyze and evaluate the realism and utility of synthetic sensor data
Collaborate with cross-functional teams on map requirements and sensor data needs
Requirements
A PhD in machine learning, computer science, electrical engineering, robotics, or a related field, and 3 years of industry experience.
Or a Master's degree and 4 years of industry experience.
Or 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.
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.
Benefits & Perks
Compensation/salary range between $193,930 and $291,150 depending on experience and qualifications