Job Description
The role involves developing and integrating advanced sensor calibration and state estimation algorithms for autonomous vehicles, utilizing machine learning and robotics expertise to improve the accuracy and performance of self-driving systems.
Key Responsibilities
- Research and develop state estimation and calibration algorithms combining robotics and machine learning techniques
- Analyze and evaluate the accuracy and performance of calibration algorithms
- Integrate calibration pipelines into the autonomy system and assess onboard performance and resource utilization
- Collaborate with autonomy teams to improve ML model training and system performance
- Address critical questions related to sensor data and autonomous system performance
Requirements
- A PhD in machine learning, computer science, electrical engineering, robotics, or a related field, and 3 years of industry experience.
- Or a Masters degree in one of these fields and 4 years of industry experience.
- Or at least 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.
- Experience in developing online and offline unstructured targetless sensor calibration algorithms.
- Hands-on experience in the research, development, and implementation of machine learning methods with sensor data including IMU, camera, lidar, radar, etc.
- Experience with classical state estimation techniques such as non-linear least-squares optimization and lie algebra is a bonus.
- Ability to analyze and characterize the accuracy and performance of state estimation and calibration algorithms.
- Experience integrating state estimation and calibration pipelines into autonomous systems and analyzing onboard performance and resource utilization.
- Ability to work cross-functionally with other autonomy teams to accelerate training of ML models and evaluate end-to-end performance.
- Capability to answer critical questions about sensor data and autonomy performance.
Benefits & Perks
Compensation/salary range between $167,200 and $250,800 depending on experience and qualifications
Annual performance bonus
Equity options
Competitive benefits package
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