Technical Lead- AI Cockpit

Bosch USA; Plymouth (MI); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health coverage

401(k) matching

Paid time off

Life and disability protection

Job summary

Bosch USA is seeking a Technical Lead / Architect to drive AI‑powered smart cockpit solutions. You will shape the architectural vision and lead cross‑functional teams across AI, embedded systems, and automotive software to deliver proactive, personalized cockpit experiences.

Responsibilities include defining end‑to‑end architectures, deploying ML pipelines on edge devices, and orchestrating multi‑model AI with cloud integration while ensuring safety and production readiness.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or a related field with 5+ years of AI/ML‑driven system development.
• Hands‑on expertise in ML/DL with experience deploying models on edge/embedded automotive platforms.
• Experience integrating Generative AI/LLM capabilities into real‑time environments.
• Knowledge of edge AI optimization techniques and proficiency in Python and C++.

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 (quantization, pruning, latency, power) across CPU/GPU/NPU.
• Design hybrid edge–cloud architectures for personalization and scalable feature delivery.
• Integrate multimodal AI capabilities with real‑time safety constraints and telemetry.
• Establish data pipelines, monitoring, and iterative AI capability improvements in production.
• Define evaluation and observability framework tied to release readiness.
• Drive program execution across architecture, AI, and integration workstreams to ensure timely production readiness.

Skills

AI/ML system design

Edge AI deployment

Python

C++

LLM orchestration

Cloud/edge orchestration

Cross-functional leadership

Education

Bachelor’s or Master’s degree in Computer Science or AI

Tools

OTA updates

Fleet telemetry

Job description

Job Description

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.

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.

Benefits

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!