Job Description
A Software Engineer role focused on developing and integrating sensor calibration and state estimation algorithms for autonomous driving systems, utilizing machine learning and robotics expertise to improve sensor data accuracy and system performance.
Key Responsibilities
- Research and develop state estimation and calibration algorithms combining robotics and machine learning techniques
- Analyze and characterize the accuracy and performance of calibration algorithms
- Integrate calibration pipelines into the autonomy system and evaluate onboard performance and resource utilization
- Collaborate with other teams to accelerate ML model training and evaluate end-to-end system performance
- Address critical questions related to sensor data and autonomy 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 and 4 years of industry experience.
- Or 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.
- Experience in research, development, and implementation of machine learning methods with sensor data such as IMU, camera, lidar, radar, etc.
- Experience with classical state estimation techniques, non-linear least-squares optimization, or lie algebra is a bonus.
- Experience in building offline and online state estimation and calibration algorithms with sensors such as camera, lidar, radar, IMU, etc.
- Experience in simulating and modeling real sensors including noise modeling.
- Ability to analyze and characterize the accuracy and performance of state estimation and calibration algorithms.
- Ability to integrate state estimation and calibration pipelines into the autonomy system and analyze onboard performance and resource utilization.
- Ability to work cross-functionally with other autonomy teams to accelerate ML model training and evaluate end-to-end performance.
Benefits & Perks
Compensation/salary range between $160,360 and $240,540
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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