below marketmost similar roles pay hereabove market
This role pays less than
52%
of similar roles. Most pay
$164,250–$244,325
— the blue band above.
At the midpoint, this role pays about
$200k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About Bosch
Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.
Bosch currently has
69 open roles
on FindRole.
Listed pay typically runs
$165,000–$185,000
across 33 roles with salary data.
The Lead AI Systems Engineer- Autonomous Driving will serve as a technical lead for a cross-functional team, setting architectural direction and engineering standards to develop Advanced Driver Assistance Systems and Autonomous Driving technologies. The role involves architecting and scaling intelligent failure triaging and automated Root Cause Analysis frameworks to process petabyte-scale simulation and real-world vehicle logs. Key responsibilities include applying AI/ML methods like LLMs, VLMs, time-series anomaly detection, and causal inference to isolate failure modes across perception, planning, and control layers. The engineer will integrate automated triaging into SiL, HiL, and ViL pipelines. Required expertise includes Python, C++, and experience with ROS/ROS2, MCAP, Protobuf, and CAN logs. The role solves the technical challenge of streamlining software release cycles and raising validation standards for safe self-driving vehicles.
Architect and scale intelligent failure triaging and automated Root Cause Analysis frameworks for petabyte-scale logs.
Apply AI/ML methods to automatically isolate failure modes across perception, planning, control, and vehicle platform layers.
Integrate automated triaging into continuous integration, regression testing, and cloud replay pipelines.
Establish best practices for log data structures, automated analytics workflows, and vector search for failure retrieval.
Partner with autonomy software leads and cloud infrastructure teams to integrate automated diagnostics into R&D workflows.
Set technical direction and engineering standards for AI-focused systems engineering and testing frameworks.
What we're looking for
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 experience building production-grade data pipelines, distributed execution frameworks, or testing infrastructure.
Hands-on experience with big data structures, robotics logging formats (e.g., ROS/ROS2, MCAP, Protobuf, CAN logs), and cloud data storage.
Demonstrated experience applying LLMs/VLMs, sequence modeling, pattern recognition, or vector embeddings to log classification or automated root cause analysis (preferred).
In-depth understanding of autonomous driving software architectures including perception, sensor fusion, localization, motion planning, and vehicle control (preferred).
Experience with SiL, HiL, or cloud-based replay and simulation testing setups at scale (preferred).
Remote (Santa Clara, CA)43 days ago
$184,000–$287,500
Systems Engineering
Python
C++
SQL
ISO 26262
ISO 21448
SOTIF
Data Analytics
Software Architecture
Deep Learning
Data Science
Autonomous Driving
Verification
Traceability
System Analysis