Director, Simulation and Evaluation - Autonomous ...
MSCCN - Sunnyvale, CA
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Company Description We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich peopleu2019s 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. Letu2019s grow together, enjoy more, and inspire each other. Work #LikeABosch u2022 Reinvent yourself: At Bosch, you will evolve. u2022 Discover new directions: At Bosch, you will find your place. u2022 Balance your life: At Bosch, your job matches your lifestyle. u2022 Celebrate success: At Bosch, we celebrate you. u2022 Be yourself: At Bosch, we value values. u2022 Shape tomorrow: At Bosch, you change lives. u201cInvented for Lifeu201d drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Director for Simulation and Evaluation, you will sit at the center of the Global AI Backbone, architecting the multi-level simulation ecosystems required to train, evaluate and validate next-generation Foundation Models. You will bridge the gap between high-fidelity sensor simulation and generative world models, ensuring our AI systems are statistically proven to be safe and robust before hitting the road. This is a global role that requires you to define and manage a global simulation and evaluation ecosystem that enables continuous development and deployment of our ADAS systems. Key Responsibilities: + Lead AI Simulation & Foundation Model Strategy: Define the roadmap for high throughput, closed-loop simulation. + Research and propose new methodologies to assess the quality, safety, and realism of ML models used for training, evaluation and validation of L2++ and L4 automated driving stacks. + Architect Evaluation Frameworks: Build the infrastructure. Develop tools that allow for rapid iteration of Foundation Models, ensuring model improvements translate into measurable gains in fleet-wide performance. + Drive Generative AI Innovation: Lead the development of World Models to predict and generate complex, realisticedge cases. Build data pipelines for signal discovery, data labeling, and metric computation based on large-scale simulations. + Production Release Authority: Establish the
Created: 2026-03-25