As part of our team, you will drive engineering effectiveness through PMT, designing, implementing, and continuously improving an engineering framework that spans requirements, architecture, verification, release, and change management. You evaluate its effectiveness through delivery lead time, rework, control effectiveness, traceability, and actual use across teams.
You will simplify engineering processes with a clear understanding of requirements, working with the responsible specialists to establish which legal, regulatory, safety, security, quality, and internal requirements apply. You understand the purpose of each required control, challenge unnecessary implementation steps, and develop proportionate solutions. You remove duplication and unnecessary approvals while maintaining the required assurance.
Additionally, you will make justified deviations transparent and traceable. Where a process requirement can legitimately be implemented differently or need not be applied, you will own the supporting rationale, stakeholder alignment, and documentation. You maintain a dependable record of the relevant communication, decisions, required approvals, and conditions, keeping these records current as their scope or underlying assumptions change.
Working directly with teams, you will build methods engineers can use across requirements engineering, architecture reviews, verification planning, configuration control, and change management. You tailor workflows to risk and development context, covering exploration and controlled testing through to product release. By making responsibilities and decision boundaries clear, you enable teams to act without unnecessary escalation.
Furthermore, you will integrate controls and evidence into the toolchain, partnering with Enabling engineers to connect development environments, requirements and configuration tools, CI/CD, and engineering records. You automate checks and evidence capture where useful, reducing manual reporting while making traceability maintainable in daily engineering work.
You will advance AI-assisted engineering through practical evaluation while shaping the PMT contribution to our Agentic AI Software Factory. You develop and evaluate agent-assisted workflows with accountable decisions, appropriate review, and dependable evidence. You use measured effects on delivery time, quality, rework, and cost to decide what to adopt, improve, or stop.
Driving adoption and continuous improvement, you will introduce methods through practical onboarding, coaching, templates, and support for employees and relevant contractors. You observe their use in real delivery, investigate friction, correct ineffective approaches, and retire processes or controls that are no longer needed.
You will own engineering-process audit readiness, maintaining evidence of process application and control effectiveness while coordinating engineering-process assessments through to verified closure of findings. You surface gaps early and work with accountable owners to resolve them. Product teams retain responsibility for product verification and product safety/security evidence, while plant QA remains with its responsible owners.
Last but not least, you will work closely with the CTO, Head of Engineering, engineering teams, and responsible Bosch functions. You challenge established practices constructively, negotiate workable alternatives, and hold a necessary boundary when delivery pressure conflicts with an applicable requirement.
Education: completed Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Engineering or a related field
Experience and Knowledge
- personal ownership of an engineering process or PMT transformation across multiple teams, with demonstrated adoption in delivery
- proven experience materially simplifying an existing workflow or control arrangement, improving engineering performance while preserving or strengthening the required assurance
- experience taking a justified alternative to an established process through stakeholder alignment, documented decisions, and implementation, including approvals where required
- direct experience preparing and supporting internal or external engineering-process audits, closing findings, and working in safety- or security-relevant development
- strong understanding of development lifecycles, requirements-to-release traceability, configuration and change management, including the practical integration of methods and tools
- practical experience evaluating automation or AI-assisted engineering workflows, with the ability to explain their benefits, limitations, review mechanisms, and the evidence required for responsible use
- demonstrated personal contribution, including what you changed, how you secured agreement, how teams adopted the change, and what happened afterward, based on examples from Bosch or comparable engineering environments
Personality and Working Practice: you combine disciplined follow-thro
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