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Technical Lead- Automotive AI Cockpit

Job in Farmington Hills, Oakland County, Michigan, USA
Listing for: Bosch Group
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 So Cs
  • 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 work streams — 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.
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)

All your information will be kept confidential according to EEO guidelines.

We are committed to a diverse workforce – EOE/Protected Veteran/Disabled. Equal Opportunity Employer, including disability / veterans.

We offer a competitive compensation and a benefits package designed to empower you in every area of your life, including 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.

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