Senior Software Engineer, Model Lifecycle
Core
Designing and maintaining scalable data pipelines and infrastructure to accelerate the ML development cycle for autonomous driving models.
Role type
Senior Software Engineer, Model Lifecycle (Data Engineering)
Builds
Scalable data pipelines, high-quality datasets, and automated data flywheels for real-time and large-scale offboard foundation models.
Domain
Autonomous driving / Self-driving cars
Deliverable
infrastructure
Required skills
C++, Python, ML data engineering, data pipelines, data curation, data balancing, model training, model evaluation, model deployment
Preferred skills
Large scale data processing systems, automated ML pipelines, cross-functional collaboration
Technologies
Apache Spark, Apache Beam, Google Cloud Dataflow, AWS Data Pipeline, Faiss, ScaNN
Responsibilities
Design and build scalable data pipelines for petabytes of sensor data; Develop infrastructure for Perception-wide model training and release-ready packaging; Automate data quality and validation checks; Maintain critical data generation infrastructure; Collaborate with ML engineers and research scientists.
Seniority
Senior, hands-on IC