Powertrain Software AI Intern

Job Description:

Job Description

As a Bosch intern you will benefit from on-the-job training in a supportive working environment where you can develop your personal and professional skills. As an AI & Machine Learning Engineering intern within the Powertrain domain, your day-to-day tasks will vary but could include the following:

* Contribute to developing real-world AI/ML models for cutting-edge powertrain applications, including predictive maintenance, anomaly detection, and performance optimisation-directly influencing the next generation of automotive technology.
* Work hands-on with high-value powertrain datasets, supporting the preparation, cleaning, and analysis of data from vehicle test benches, in-vehicle logs, and advanced simulation environments.
* Help build intelligent data processing and automation tools that enhance engineering workflows and accelerate innovation across Bosch's powertrain engineering teams.
* Participate in the full lifecycle of ML development, including algorithm design, model training, testing, validation, and performance evaluation, while learning industry-standard AI practices.
* Collaborate closely with experienced Bosch engineers and customer teams, contributing to data analysis, debugging AI-driven tools, and supporting technical investigations that have real customer impact.
* Support the integration of AI and ML solutions into live testing and calibration environments such as Hardware-in-the-Loop (HiL) systems and simulation frameworks, gaining exposure to state-of-the-art automotive engineering platforms.

As well as good technical competency, you will be expected to be highly organised and able to juggle multiple tasks and demands by anticipating the needs of others and looking for proactive solutions, so you will have the following attributes:
* Results orientated; with a desire to exceed targets.
* Proactive and self-motivated.
* Builds high-quality and lasting relationships with all stakeholders; makes people feel appreciated even in difficult situations.
* Deals constructively with conflict; resilient.
* Uses analytical skills in order to solve complex tasks and takes sound decisions.
* Good interpersonal/communication skills

Candidate Requirements:

Qualifications

Essential:
* Studying for a relevant undergraduate degree and required to take a placement as part of your course (Engineering, Computer Science, Data Science or similar preferred).
* Strong interest in AI, Machine Learning and data-driven engineering, ideally with some exposure through modules or projects.
* Understanding & Interest in core ML concepts such as data processing, regression/classification, model validation or neural networks.
* Ability to organise own work and work autonomously.
* Good analytical skills and interpersonal, communication and collaboration skills.
* Good written and spoken English.
* Proficient in MS office.
* Full UK driving license is required.
Desirable:
* Basic proficiency in Python desirable; familiarity with Matlab/Simulink or C is an advantage