Technical Lead- Automotive AI Cockpit

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 (fine-tuning, distillation) for edge automotive deployment, including model selection, routing, and inference optimization on GPU/NPU SoCs
• 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
• Integrate multimodal AI capabilities (voice, vision, sensor fusion) with real-time and safety-critical constraints
• Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production
• Define the AI evaluation and observability framework, including model quality testing, regression checks, and production monitoring tied to release readiness
• Drive technical program execution across architecture, AI, and integration workstreams - including planning, dependencies, risk management, milestone tracking, cross-functional coordination, and stakeholder communication - to ensure on-time, high-quality production readiness
• Required Qualifications
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field with 5+ years of experience in AI/ML-driven system development.
• Strong hands-on expertise in machine learning, deep learning, and AI system design, with 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) and proficiency in Python and C++, along with experience in embedded AI lifecycle management, including OTA updates and fleet telemetry.
• Hands-on experience with LLM/generative-AI orchestration and model fine-tuning/adaptation in real-time, resource-constrained environments.
• Strong understanding of cloud platforms architecture and edge-cloud orchestration, and proven ability to lead cross-functional engineering teams.
• AI-powered assistants that understand driver intent and context
• Personalized, self-learning cockpit experiences
• Seamless integration of infotainment, productivity, and safety features
• Next-gen human-machine interfaces (voice, gesture, multimodal AI)
• All your information will be kept confidential according to EEO guidelines.
• By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
• BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives
• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)
• 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.
• #LI- JM1

Requirements

• Knowledge of automotive cockpit systems (voice assistants & personalization)
• Experience with on-device voice pipelines (ASR/TTS) and inference-serving stacks on various SoC/processors
• Exposure to user experience design for in-vehicle systems
• Key Competencies
• Strong technical leadership and architectural thinking
• Ability to balance innovation with production readiness
• Excellent communication and stakeholder management skills
• Strategic mindset with hands-on execution capability
• Passion for shaping the future of AI-defined vehicles

Benefits

Additional Information

Role Overview We are seeking a highly skilled Technical Lead / Architect to drive the design, development, and delivery of next-generation AI-powered smart cockpit solutions for Automotive. This role will lead the technical vision and execution of an intelligent, context-aware in-vehicle experience that transforms the cockpit into a proactive, personalized companion for drivers and passengers. You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to production.

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