Job Description
A Software Engineer role focused on developing and integrating sensor calibration and state estimation algorithms using machine learning and robotics techniques for autonomous vehicle 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 other teams to improve ML model training and overall system performance
- Address critical questions related to sensor data quality and autonomy 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 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.
- Experience in research, development, and implementation of machine learning methods with sensor data such as IMU, camera, lidar, radar, etc.
- Experience in analyzing and characterizing the accuracy and performance of state estimation and calibration algorithms.
- Experience in 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 ML model training and end-to-end performance evaluation.
- Ability to answer critical questions about sensor data and autonomy performance.
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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