Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit

Bosch Group; Iowa (LA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Benefits package

Job summary

Bosch Group is seeking a highly skilled Technical Lead / Architect to drive AI-powered smart cockpit solutions for automotive. You will define the technical vision across hardware, middleware, and applications, leading cross-functional teams to deliver proactive, personalized in-vehicle experiences.

The role sits at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures and ensuring production readiness with robust data pipelines, telemetry, and model

Qualifications

• Bachelor's or Master's degree in Computer Science or AI with 5+ years in AI/ML-driven system development.
• Strong hands-on expertise in ML/DL 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.
• Proficiency in Python and C++, plus embedded AI lifecycle management including OTA updates and fleet telemetry.

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, including model selection and inference optimization.
• 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 with real-time and safety-critical constraints.
• Establish robust data pipelines, telemetry, and feedback loops for continuous model validation and production monitoring.
• Define AI evaluation and observability framework tied to release readiness.
• Drive technical program execution across architecture, AI, and integration workstreams to ensure production readiness.

Skills

AI/ML system design

Edge deployment

Python

C++

Cloud & edge orchestration

Leadership

Education

Bachelor's or Master's in CS/AI

Tools

OTA updates

Fleet telemetry

Job 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.

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

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.

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 WorldInMotion)

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