Senior AI Systems Engineer- Autonomous Driving
Core
Architect and scale intelligent failure triaging and automated Root Cause Analysis (RCA) frameworks for petabyte-scale simulation and real-world vehicle logs to support ADAS and Autonomous Driving technologies.
Role type
Senior AI Systems Engineer (Autonomous Driving)
Builds
Automated diagnostics, failure triaging frameworks, and validation pipelines for self-driving vehicles
Domain
Autonomous Driving / Robotics / Big Data Infrastructure
Deliverable
production ML models
Required skills
Python, C++, LLMs/VLMs, time-series anomaly detection, causal inference, ROS/ROS2, MCAP, Protobuf, CAN logs, PySpark, Ray, Kubernetes, AWS/GCP
Preferred skills
Vector search/embeddings, autonomous driving software architectures (perception, sensor fusion, localization, motion planning), SiL/HiL/cloud-based replay testing, Apache Airflow, Vector DBs, Databricks/Snowflake
Responsibilities
Architect and scale intelligent failure triaging and automated RCA frameworks; Apply AI/ML methods to isolate failure modes across perception, planning, control, and vehicle platform layers; Integrate automated triaging into CI/CD and cloud replay pipelines; Establish best practices for log data structures and ML pipeline reliability; Partner with autonomy software leads and cloud infrastructure teams to align toolsets.
Seniority
Senior, hands-on IC with leadership
