Lead AI Systems Engineer- Autonomous Driving

Bosch Group

California

Sur place

USD 185 000 - 215 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Premium health coverage
401(k) with matching
Generous paid time off
Parental leave
Life and disability protection

Résumé du poste

Bosch Group in California seeks a Lead AI Systems Engineer to set technical direction across multiple teams and elevate ADAS/Autonomous Driving platforms. You will guide architecture and testing frameworks for scalable AI-enabled systems.

You will partner with autonomy software leads, validate data pipelines, and implement cloud replay and CI pipelines to raise validation standards. A Master’s or Ph.D. and 5+ years leadership are expected.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Computer Engineering, Robotics, Electrical Engineering or equivalent practical experience.

Responsabilités

  • Architect and scale intelligent failure triaging and automated Root Cause Analysis (RCA) frameworks.
  • Apply modern AI/ML methods to isolate failure modes across perception, planning, control, and vehicle platform layers.
  • Integrate automated triaging into CI, regression testing, and cloud replay pipelines (SiL/HiL/ViL).
  • Establish best practices for log data structures, automated analytics workflows, vector search/embeddings for failure mode retrieval, and ML pipeline reliability.
  • Partner with autonomy software leads, validation engineers, and cloud infrastructure teams to align toolsets.

Connaissances

Python
C++
Big data
ROS/ROS2
CAN logs
cloud data storage
PySpark
Ray
Databricks
Snowflake
Vector DBs
Apache Airflow
Kubernetes
AWS/GCP

Formation

Master’s degree or Ph.D. in Computer Science, Computer Engineering, Robotics, Electrical Engineering
equivalent practical experience

Outils

ROS/ROS2 tooling
MCAP
Protobuf
CAN logs tooling

Description du poste

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch

  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values.
  • Shape tomorrow: At Bosch, you change lives.

At Bosch, “Invented for Life” is what drives us and our vision of global future mobility. Bosch has an outstanding track record on pioneering key technologies worldwide which shapes the way we move. The next big milestone in our sight is to make autonomous vehicles a reality, bringing its benefits to today's roads.

In this role, you will operate as a Lead AI Systems Engineer, setting technical direction across multiple teams, influencing architecture and engineering standards, and elevating technical capabilities across the organization.

We are seeking a Systems Engineer with strong leadership skills to build and enhance our AI-focused systems engineering and testing frameworks. In this role, you will guide the design, implementation, and evaluation of our Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) technologies. You will serve as the technical lead for a cross-functional team, integrating modern software development practices to help realize safe, reliable self-driving vehicles and empower our global R&D teams.

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 continuous integration, regression testing, and cloud replay pipelines (SiL/HiL/ViL) 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.
  • 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 (e.g., ROS/ROS2, MCAP, Protobuf, CAN logs), and cloud data storage.
Preferred Qualifications:
  • Demonstrated experience applying LLMs/VLMs, sequence modeling, pattern recognition, or vector embeddings to log classification, failure mode retrieval, or automated root cause analysis.
  • In-depth understanding of autonomous driving software architectures (perception, sensor fusion, localization, motion planning, vehicle control).
  • Experience operating within SiL, HiL, or cloud-based replay and simulation testing setups at scale.
  • Experience with distributed frameworks and data tools such as PySpark, Ray, Databricks/Snowflake, Vector DBs, Apache Airflow, Kubernetes, and AWS/GCP services.

We offer a competitive base salary for this position with a range in US-California of --$185,000 - $215,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.

Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.

Equal Opportunity Employer, including disability / veterans.

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

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