Autonomous Driving – Staff AI Systems Engineer

Company Description

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.
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• Shape tomorrow: At Bosch, you change lives.

Autonomous Driving – Internship in Machine Learning

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.

We are looking for students in the machine learning and software development space who are interested in solving the hardest problems in the development and productization of automated driving with us.

Job Description

In this role, you will operate at Staff AI Systems Engineer level, setting technical direction across multiple teams, influencing architecture and standards beyond your immediate scope, and acting as a multiplier for engineering excellence across the organization.

We are looking for an accomplished Systems Engineer with strong leadership skills to evolve our AI focused systems engineering and testing framework and processes to guide the design, implementation and testing of our ADAS and AD system development and deployment. Your goal will be to integrate your approach into our modern software development environment enabling the realization of self-driving vehicles. You will be the technical lead for our cross-functional team working on every step of the system development and deployment process in order to enable our R&D teams.

• Grow and develop a strong cross-functional AI systems team enabling a state-of-the-art development environment for robotics applications
• Support the development and implementation of a Bosch wide system design and deployment framework by shaping the overall vision together with the management team as well as driving the technical implementation
• Constantly improve efficiency and effectiveness of our system development process by applying automation as well as full and central transparency to all development steps
• Continuously drive innovation by developing as well as applying cutting-edge software development tooling and processes to our development eco-system together with your team
• Lead by example and foster modern continuous testing standards on all levels by providing best practices in process, tooling and automation to our software developers globally across all domains
• Guide your team on a daily basis by applying best practices around technical design documentation, PRs and hands-on testing

Qualifications

Basic Qualifications: 

• Master degree in CS, CE, E/E or comparable
• 3-5 years of experience in Systems Engineering for Automated Driving and/or Robotics as well as comparable fields providing you with a track record of successful implementing and releasing complex software and hardware products by having deep knowledge and expertise in
• Fully traceable and automated management of ODD taxonomies, system ontologies, and requirement traceability from data to behavior to KPIs
• Automated modern CI/CD processes including testing in SiL, HiL and ViL environments
• Using Cloud native services in Azure, AWS, GDC like Airflow, ArgoFlow and Databricks
• The inner workings of a modern ML data flywheel including data collection, labeling strategies, dataset curation, training, validation, and rollout.
• Releasing safety-critical systems to the market via KPI frameworks focusing on SOTIF
• Overall architecture and deployment characteristics of modern transformer-based AI systems, including performance, scaling, and integration constraints in real-world systems.
• The full AI model lifecycle with hands-on experience in model training, fine-tuning, optimization, deployment and inference
• Methodologies to guide full-stack software and hardware teams to successful product releases
• Deploying and releasing safety‑critical or mission‑critical systems under ISO 26262 and SOTIF using modern KPI frameworks<