Lead AI Systems Engineer for Autonomous Driving

Bosch USA

Sunnyvale (CA)

On-site

USD 185,000 - 215,000

Full time

3 days ago
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Benefits offered by this job

Premium health coverage
401(k) with generous matching
Financial planning resources
Paid time off
Parental leave
Life and disability protection

Job summary

Bosch USA is seeking a Staff AI Systems Engineer in California to guide AI-driven ADAS and autonomous driving initiatives. You will lead architecture decisions, shape testing frameworks, and elevate capabilities across engineering teams.

You will collaborate with autonomy software leads, validation, and cloud infrastructure to ensure safe, reliable self-driving systems and scalable data pipelines across SiL/HiL environments.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or related field.
  • 5+ years of engineering experience in software/data/automation for autonomous systems or distributed platforms.
  • 2+ years leading architecture or strategy across multiple teams.
  • Expert Python and C++ with production-grade data pipelines or testing infra.
  • Experience with robotics logging formats and cloud data storage.

Responsibilities

  • Architect and scale AI/ML failure triage and RCA frameworks for petabyte-scale data.
  • Lead design, implementation, and evaluation of ADAS/Autonomy software.
  • Guide cross-functional teams, integrating CI/CD and cloud replay pipelines.
  • Establish best practices for log data, analytics, and ML pipelines reliability.
  • Collaborate with autonomy leads, validation, and cloud infra teams.

Skills

Python
C++
Distributed systems
Data pipelines
Leadership
ROS/ROS2
Cloud storage
PySpark
Ray
Databricks
Snowflake
Vector DBs
Airflow
Kubernetes
AWS/GCP

Education

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

Tools

PySpark
Ray
Databricks
Snowflake
Vector DBs
Airflow
Kubernetes
AWS/GCP

Job description

Bosch USA is seeking a Staff AI Systems Engineer in California to guide AI-driven ADAS and autonomous driving initiatives. You will lead architecture decisions, shape testing frameworks, and elevate capabilities across engineering teams.

You will collaborate with autonomy software leads, validation, and cloud infrastructure to ensure safe, reliable self-driving systems and scalable data pipelines across SiL/HiL environments.

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