Job Description
A Software Engineer in the Sensor Data and Calibration team at Nuro, responsible for 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 needs and requirements
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 machine learning 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
Annual performance bonus
Equity options
Competitive benefits package
Ready to Apply?
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