Staff AI/ML Engineer, Future Sensing, Embodied AI

What you'll do

• Design and implement AI/ML solutions for autonomous driving and future sensing objectives.
• Lead technical studies on sensor selection, configuration, placement, and multi-modal sensor fusion.
• Architect and evaluate perception models for detection, tracking, localization, and uncertainty estimation.
• Define robust model-level and system-level metrics to quantify performance and sensor configurations.
• Lead model development efforts including data curation, training, validation, and performance optimization.
• Partner with simulation teams to define synthetic-data and sensor-model requirements for adverse scenarios.
• Build infrastructure and pipelines for large-scale data processing and model training.
• Translate ambiguous architecture questions into concrete experiments and technical go/no-go evidence packages.

What we're looking for

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
• Strong experience building and scaling AI/ML systems for perception, autonomy, robotics, or related real-world systems.
• Deep hands-on experience with modern deep learning frameworks such as PyTorch and strong proficiency in Python.
• Experience working with model training pipelines, large-scale data workflows, and infrastructure for efficient model iteration.
• Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
• Strong experience with multi-modal sensor fusion and perception pipelines using cameras, radar, lidar, or related modalities.
• Experience defining metrics and evaluation methodologies for perception or autonomy systems.
• Experience deploying or preparing ML models for production environments and understanding end-to-end deployment workflows.