Job Description
A Software Engineer role focused on developing synthetic sensor simulation models and algorithms for autonomous vehicles, leveraging machine learning and robotics expertise to improve sensor data realism and autonomy 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
- 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
- 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: $160,360 to $240,540, plus potential annual performance bonus and equity
Work schedule: Not specified
Work environment perks: Inclusive and diverse workplace, fostering psychological safety
Additional benefits: Competitive benefits package
Ready to Apply?
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