Job Description
A Software Engineer in Nuro's robotics team focusing on developing and implementing synthetic sensor simulation models and algorithms to enhance autonomous vehicle sensor data realism and performance.
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, development, and implementation experience of state-of-the-art synthetic sensor simulation methods.
- Ability to analyze and characterize the realism and utility of synthetic sensor data.
- Experience collaborating 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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