Lead AI Architect for Edge Cockpit Systems

Bosch USA; Plymouth (MI); On-site; USD 140,000 - 210,000; Full time

Job summary

Bosch USA in Michigan seeks a Technical Lead / Architect to design and deliver AI-powered smart cockpit solutions. You will lead the end-to-end architecture for edge AI across hardware, middleware, and applications, coordinating AI/ML pipelines and multi-model orchestration for automotive deployment.

The role blends AI, embedded systems, and automotive software, requiring leadership, hands-on execution, and collaboration with cross-functional teams to ensure scalable, production-ready cockpit

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• 5+ years of experience in AI/ML-driven system development.
• Experience deploying models on edge, embedded, or automotive platforms.
• Experience integrating AI and Generative AI/LLM-based capabilities into real-time, resource-constrained environments.
• Strong knowledge of edge AI optimization techniques (quantization, pruning, distillation).

Responsibilities

• Define and own the end-to-end architecture for AI-driven smart cockpit systems across hardware, middleware, and application layers.
• Lead design and implementation of AI/ML pipelines, model optimization, deployment, and lifecycle management.
• Architect multi-model/LLM orchestration and on-device model adaptation for edge automotive deployment.
• Architect efficient edge AI execution, optimizing models for CPU/GPU/NPU (quantization, pruning, latency, power).
• Design hybrid edge–cloud architectures for personalization, continuous learning, and scalable feature delivery.

Skills

AI/ML design

Edge AI

Python

C++

OTA updates

Education

Bachelor's or Master's in CS/AI

Tools

TensorFlow

PyTorch

TensorRT

Job description

Bosch USA in Michigan seeks a Technical Lead / Architect to design and deliver AI-powered smart cockpit solutions. You will lead the end-to-end architecture for edge AI across hardware, middleware, and applications, coordinating AI/ML pipelines and multi-model orchestration for automotive deployment.

The role blends AI, embedded systems, and automotive software, requiring leadership, hands-on execution, and collaboration with cross-functional teams to ensure scalable, production-ready cockpit