Automotive AI Cockpit Technical Lead/Architect at Bosch Group

Plymouth Charter Township, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Machine Learning, Deep Learning, LLM Orchestration, Edge AI Optimization, Python, C++, Embedded Systems, Model Quantization, Model Pruning, Model Distillation, Cloud Architecture, Sensor Fusion, Multimodal AI, Technical Leadership, Stakeholder Management

Industry

Software Development

Description

Company Description 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. • Be yourself: At Bosch, we value values. • Shape tomorrow: At Bosch, you change lives. Job Description 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. Key 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 Qualifications 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. Preferred Qualifications 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 What You'll Work On 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) Additional Information 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) Future sponsorship for work authorization not available. 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. Your well-being matters at Bosch! We offer a competitive compensation and 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. We're investing in your success! #LI- JM1 Legal Entity: Robert Bosch LLC

Responsibilities

Lead the technical vision and end-to-end architecture for AI-powered smart cockpit solutions in automotive environments. Coordinate cross-functional teams to implement AI/ML pipelines and optimize models for edge deployment on GPU/NPU SoCs.