Staff AI Systems Engineer- Autonomous Driving

In this role you will operate as a Staff 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 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:

• Lead mentor and grow a collaborative cross-functional AI systems team to build state-of-the-art development environments for robotics applications.
• Partner with management and technical leaders to define and implement a company-wide system design and deployment framework.
• Enhance the efficiency and clarity of our system development life cycle using automation standard tooling and transparent processes.
• Research adopt and integrate cutting-edge software engineering tools and processes into our development ecosystem alongside your team.
• Establish continuous testing standards across all domains by sharing best practices in process automation tooling and quality assurance globally.
• Provide daily technical guidance through design reviews detailed technical documentation pull request reviews and hands-on testing

Qualifications :

Basic Qualifications

• Masters degree in Computer Science Computer Engineering Electrical Engineering or a related technical field (or equivalent practical experience).
• 5 years of experience in systems engineering for automated driving robotics or complex software/hardware product releases.
• Hands-on experience with modern CI/CD pipelines automated testing and agile software development workflows.
• Demonstrated ability to guide cross-functional technical teams manage stakeholder alignment across roadmaps and budgets and establish engineering best practices.
• Experience defining requirement traceability and system specifications from high-level goals down to quantifiable performance metrics.

Preferred Qualifications

• In-depth knowledge of self-driving vehicle or robotics system architectures including sensor processing compute constraints and on-board software stacks.
• Hands-on expertise across the ML lifecycleincluding dataset curation model training fine-tuning optimization and real-world deployment for transformer-based or multimodal AI architectures.
• Experience with AI/ML frameworks and acceleration libraries such as PyTorch PyTorch Lightning ONNX and TensorRT.
• Expertise in safety-critical system deployment under industry standards such as ISO 26262 and SOTIF using KPI-driven evaluation frameworks.
• Experience with requirement traceability frameworks system ontologies and automated Operational Design Domain (ODD) taxonomy management.
• Experience designing and scaling distributed systems cloud infrastructure or orchestration tools (e.g. AWS Azure GCP Airflow Argo Workflows Databricks).
• Familiarity with hardware/software testing environments including SiL HiL and ViL setups.
• Working knowledge of real-time operating systems and environments such as Embedded Linux QNX RTOS or ROS.

Additional Information :

We offer a competitive base salary for this position with a range in US-California of --$185000 - $215000 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 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:  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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Remote Work :

No

Employment Type :

Full-time