Staff AI Systems Engineer - Autonomous Driving

Requirements:

• Masters degree or Ph.D. in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related technical field, or equivalent practical experience.
• At least 5 years of progressive engineering experience in software development, data analytics infrastructure, or automated testing for autonomous vehicles, robotics, or complex distributed systems.
• At least 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 large-scale data structures, robotics logging formats such as ROS/ROS2, MCAP, Protobuf, or CAN logs, and cloud data storage.
• Preferred: Experience applying LLMs/VLMs, sequence modeling, pattern recognition, or vector embeddings to log classification, failure-mode retrieval, 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 large-scale cloud-based replay and simulation testing.
• Preferred: Experience with distributed frameworks and data tools such as PySpark, Ray, Databricks/Snowflake, vector databases, Apache Airflow, Kubernetes, and AWS/GCP services.

Responsibilities:

• Set technical direction across multiple teams, influence architecture and engineering standards, and strengthen technical capabilities across the organization.
• Build and enhance systems-engineering and testing frameworks focused on AI, guiding the design, implementation, and evaluation of ADAS and autonomous-driving technologies.
• Lead a cross-functional team and integrate modern software-development practices to support safe, reliable self-driving vehicles and global R&D teams.
• Architect and scale intelligent failure-triage and automated root cause analysis frameworks for petabyte-scale simulation data and real-world vehicle logs.
• Apply AI/ML methods, including LLMs/VLMs, time-series anomaly detection, statistical pattern recognition, and causal inference, to identify failure modes across perception, planning, control, and vehicle-platform layers.
• Integrate automated triage into continuous integration, regression testing, and SiL/HiL/ViL cloud replay pipelines to streamline releases and raise validation standards.
• Establish best practices for log-data structures, automated analytics workflows, vector search and embeddings for failure-mode retrieval, and reliable ML pipelines.
• Partner with autonomy software leads, validation engineers, and cloud infrastructure teams to align tools and incorporate automated diagnostics into daily R&D workflows.

Technologies:

• AI
• Airflow
• AWS
• Architect
• Cloud
• Databricks
• GCP
• Support
• Kubernetes
• Python
• PySpark
• ROS
• Robotics
• Sensor Fusion
• Snowflake
• Big Data
• Spark

More

We are Bosch, where we develop technologies and services intended to enrich peoples lives. Our teams work across connected living, mobility, and industry, guided by our Invented for Life vision and the goal of advancing global mobility, including autonomous vehicles. We offer opportunities for professional growth, flexibility, and collaboration. This Staff AI Systems Engineer position is based in California and offers a base salary of $185,000–$215,000, an annual corporate bonus, and a long-term incentive bonus. Our benefits include premium health coverage, a 401(k) with matching, financial-planning resources, paid time off, parental leave, and life and disability protection. We are an equal opportunity employer, including for people with disabilities and veterans. Employment is contingent on successfully completing a drug screen and background check before the start date.

last updated 43 week of 2026