Job Description
A Software Engineer role focused on developing and implementing synthetic sensor simulation models and algorithms for autonomous vehicles, leveraging machine learning techniques 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 requirements and sensor data needs
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 between $193,930 and $291,150 depending on experience and qualifications
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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