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# Technical Manager - AI Software and Transformation

- **Company:** Robert Bosch GmbH
- **Location:** Plymouth, MI, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Software Debugging, DevOps, Machine Learning, Performance Tuning, Software Engineering, Systems Integration, Toolchain, AI Coding Agents, Information Technology, Data Analytics, Embedded AI, Machine Learning Operations, Automotive Software
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/technical-manager-ai-software-and-transformation-plymouth-mi--fffc977e-6338-4ff7-93aa-becc6c1ecf42

## About the Role

Technical Leadership, Artificial Intelligence (AI), Business Processes, Technical Leadership, Product Development, Artificial Intelligence (AI), Coaching, Cross-Functional, Software Development, Technical Strategy, * Master's degree or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical field.

 * Demonstrated deploying AI solutions into embedded systems, preferably in automotive or safety-relevant product environments.
 * Demonstrated experience in planning, developing, validating, debugging, tracing, and analyzing performance for embedded AI products.
 * Demonstrated ability to lead the transition from classical software development methods to AI-assisted development approaches.
 * Experience with traditional automotive product development through the complete V-model, including requirements, design, implementation, integration, validation, and release.
 * Excellent communication skills with the ability to explain complex technical topics clearly across all abstraction levels, from engineering teams to senior leadership.
 * Analytical and strategic mindset combined with entrepreneurial drive and a strong sense of ownership.
 * Demonstrated experience collaborating and working effectively in global, cross-functional teams.
 * 5+ years of professional experience in automotive software, embedded systems, or a closely related technical field.
 * 1+ year of artificial intelligence or machine learning technical integration and steering for global product development.
 * 3+ years of experience contributing to or leading large-scale global engineering projects across cross-functional teams.

Preferred Skills

 * Experience with AI/ML model deployment on automotive-grade compute platforms, including CPU, GPU, NPU, or heterogeneous SoC environments.
 * Knowledge of AI software development workflows, MLOps, DevOps, CI/CD, toolchain automation, and data-driven development processes.
 * Familiarity with cockpit, ADAS, vehicle computing, or other embedded mobility applications.
 * Ability to influence without direct authority and motivate teams through technical credibility, clarity, and vision.

## Description

This role will combine technical leadership, strategic thinking, coaching, and cross-functional collaboration to accelerate the transition from classical software development toward AI-assisted development and AI-enabled automotive products.

 * Define and implement the regional strategy for the use of AI across roles, functions, and development processes in alignment with local and global leadership.
 * Lead and coach associates through the transition into AI-assisted roles, enabling teams to adopt new tools, methods, and ways of working.
 * Advise the regional business unit on AI-related investments, organizational development, capability building, and restructuring opportunities.
 * Collaborate with other U.S. locations and global teams on the development and integration of AI capabilities into Compute Performance products.
 * Create concepts, architectures, and implementation approaches for deploying AI into Bosch performance computers, including AI-powered cockpit and ADAS solutions.
 * Support acquisition activities by providing technical expertise, product development input, and customer-facing guidance on AI software and embedded AI topics.
 * Drive alignment between software engineering, embedded systems, AI development, validation, and product management stakeholders.
 * Promote scalable processes, tools, and best practices for AI-assisted software development, testing, debugging, tracing, and performance optimization.