Autonomous Driving AI Systems Lead

BOSC; Sunnyvale (CA); On-site; USD 185,000 - 215,000; Full time

Benefits offered by this job

Premium health coverage

401(k) with generous matching

Paid time off

Parental leave

Life and disability protection

Job summary

Bosch is seeking a Lead AI Systems Engineer to guide AI-driven ADAS and autonomous driving initiatives. You will direct cross-functional teams, shape architecture, and elevate AI-enabled validation and testing across the organization.

The role emphasizes building scalable AI systems, coordinating with autonomy leads, and delivering safe, reliable self-driving capabilities for global R&D efforts.

Qualifications

• MasteR's degree or PhD in a related technical field or equivalent practical experience.
• 5+ years of progressive engineering experience in software/data analytics/testing for autonomous vehicles or complex distributed systems.
• 2+ years of leading technical architecture across multiple teams.
• Expert in Python and C++, with production-grade data pipelines and testing infrastructure.
• Hands-on with robotics logging formats (ROS/ROS2, MCAP, Protobuf, CAN logs) and cloud data storage.

Responsibilities

• Architect and scale intelligent failure triaging and automated RCA frameworks for petabyte-scale logs.
• Apply AI/ML methods to isolate failure modes across perception, planning, control, and platform layers.
• Integrate triaging into CI, regression testing, and cloud replay pipelines to raise validation standards.
• Establish best practices for log data structures, analytics workflows, and ML pipeline reliability.
• Collaborate with autonomy software leads, validation engineers, and cloud infra teams.

Skills

Python

C++

Leadership

Big data pipelines

Education

Master's degree or Ph.D. in CS/CE/Robotics/EE or related field

Tools

ROS/ROS2

Protobuf

CAN logs

Cloud storage

Job description

Bosch is seeking a Lead AI Systems Engineer to guide AI-driven ADAS and autonomous driving initiatives. You will direct cross-functional teams, shape architecture, and elevate AI-enabled validation and testing across the organization.

The role emphasizes building scalable AI systems, coordinating with autonomy leads, and delivering safe, reliable self-driving capabilities for global R&D efforts.