Lead AI Systems Engineer for Autonomous Driving

SmartRecruiters, Inc.

Sunnyvale (CA)

On-site

USD 185,000 - 215,000

Full time

10 days ago

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Job summary

Bosch is seeking a Lead AI Systems Engineer to guide AI-driven ADAS and autonomous driving initiatives. You will set technical direction across multiple teams, shaping architecture and engineering standards for production-grade systems.

The role combines hands-on development with strategic leadership, aligning cloud replay, CI, and validation pipelines, and collaborating with autonomy software leads and validation engineers to deliver safe, reliable self-driving capabilities.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related technical field (or equivalent practical experience).
  • 5+ years of progressive engineering experience in software development, data analytics infrastructure, or automated testing for autonomous vehicles, robotics, or complex distributed systems.
  • 2+ years of experience leading technical architecture, setting engineering strategy, or guiding technical direction across multiple engineering teams.
  • Expert proficiency in Python and C++, with demonstrated experience building production-grade data pipelines, distributed execution frameworks, or testing infrastructure.
  • Hands-on experience working with big data structures, robotics logging formats (ROS/ROS2, MCAP, Protobuf, CAN logs), and cloud data storage.

Responsibilities

  • Architect and scale intelligent failure triaging and automated Root Cause Analysis (RCA) frameworks capable of processing petabyte-scale simulation and real-world vehicle logs.
  • Apply modern AI/ML methods (e.g., LLMs/VLMs, time-series anomaly detection, statistical pattern recognition, and causal inference) to automatically isolate failure modes across perception, planning, control, and vehicle platform layers.
  • Integrate automated triaging into CI, regression testing, and cloud replay pipelines to streamline software release cycles and raise validation standards across engineering groups.
  • Establish best practices for log data structures, automated analytics workflows, vector search/embeddings for failure mode retrieval, and ML pipeline reliability.
  • Partner directly with autonomy software leads, validation engineers, and cloud infrastructure teams to align toolsets and integrate automated diagnostics into day-to-day R&D workflows.

Skills

Python
C++
Data pipelines
Distributed execution
AI/ML in ADAS
Leadership

Education

Master’s degree or Ph.D. in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or related field

Tools

ROS/ROS2
MCAP
Protobuf
CAN logs

Job description

Bosch is seeking a Lead AI Systems Engineer to guide AI-driven ADAS and autonomous driving initiatives. You will set technical direction across multiple teams, shaping architecture and engineering standards for production-grade systems.

The role combines hands-on development with strategic leadership, aligning cloud replay, CI, and validation pipelines, and collaborating with autonomy software leads and validation engineers to deliver safe, reliable self-driving capabilities.

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