Careers at Boschgroup

Are you a deeply technical AI specialist passionate about applying advanced image processing and computer vision to solve real-world challenges in the industrial environment? Join us and help shape the next generation of AI-driven vision systems, transforming industrial automation and manufacturing. In this role, you will identify critical production challenges and develop cutting-edge vision solutions that deliver measurable impact directly on the factory floor. Your contribution to something big Identify key business and production challenges and solve them by applying the most effective machine learning and computer vision methods. Design, develop and deploy state-of-the-art computer vision models for industrial applications, including automated quality inspection, robotic guidance and process monitoring. Work on vision tasks such as anomaly detection, semantic segmentation and image classification. Architect robust, production-ready AI solutions, ensuring seamless integration with existing tools and systems. Develop scalable data pipelines capable of processing real-time industrial image and sensor data. Deploy, monitor and continuously improve your solutions in live production environments, ensuring high performance, reliability and sustainable business impact. Collaborate closely with ML engineers, business stakeholders, and on-site hardware and software experts to deliver robust end-to-end vision systems. Work as part of a global team of AI, optical and machine vision experts, contributing to knowledge exchange, best practices and standardization across international locations. Support the deployment, scaling and continuous improvement of advanced vision solutions across manufacturing sites worldwide. Act as a global technical expert for industrial vision applications, providing guidance, best practices and support to international project teams. Act as the team's AI expert by scouting emerging technologies and driving the adoption of state-of-the-art AI and machine learning methods. Education: Degree in Computer Science, Software Engineering or a related technical field. Experience & Know-how: Proven experience in machine learning model development and optimization, ideally with a strong focus on industrial computer vision. Hands-on experience applying image processing and computer vision in industrial, manufacturing or robotics environments. Strong knowledge of Deep Learning and experience developing vision models for applications such as anomaly detection, semantic segmentation and classification. Strong programming skills in Python and experience with relevant libraries and frameworks such as PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, OpenCV and MLflow. Solid understanding of system architecture and experience building scalable data pipelines capable of handling large volumes of industrial data. Experience with code versioning tools such as Git. Familiarity with industrial vision hardware and software is a strong plus, particularly smart cameras and MVTec products such as HALCON or MERLIC. Languages: Proficient in English. Personality & Working Style: Strong analytical and problem-solving skills, with a structured and goal-oriented approach to shop-floor challenges. Curious and creative mindset, with a passion for continuous learning, experimentation and emerging technologies. Strong communication and collaboration skills, with the ability to work effectively across technical and business teams. Self-driven and proactive, with the ability to translate complex AI concepts into tangible business and industrial value. Work #LikeABosch includes: ⚖️ Flexible work conditions 🔀 Hybrid work system 🌐 Exchange with colleagues around the world 🛡️ Health insurance 🧑‍⚕️ Medical office (psychology and general clinic) & Social Services Office on site 📚 Training opportunities (p.e., technical training, foreign languages training) & certifications 📈 Opportunities for career progression and continuous professional development 💲 Access to great discounts in partnerships and Bosch products 🏋️ Sports and health related activities 🚉 Great access to public transports 🚌 Free transport from Porto 💰 Flexible benefits platform 🅿️ Free parking lot 🍽️ Canteen Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application!

Du spezifizierst und entwickelst maßgeschneiderte Software-Tools, die den Arbeitsalltag unserer internen Kunden erleichtern und Prozesse optimieren. Bestehende Software-Tools entwickelst du kontinuierlich weiter, wobei du stets den etablierten Software-Entwicklungsprozess einhältst und so für Qualität und Effizienz sorgst. Du unterstützt aktiv deine Kolleginnen und Kollegen sowie andere Studierende und förderst den Wissensaustausch im Team, um gemeinsam die besten Lösungen zu erarbeiten. Ausbildung: Studium im Bereich Informatik, Medieninformatik, Ingenieurwissenschaften oder vergleichbar mit Schwerpunkt Informatik Erfahrungen und Know-how: in Datenbankkonzepten, UML, MATLAB, Python und TypeScript; Kenntnisse in Web-Frameworks wie Angular und NestJS von Vorteil Persönlichkeit und Arbeitsweise: du arbeitest gut im Team, passt dich flexibel an neue Anforderungen an und übernimmst eigenverantwortlich Aufgaben; du kannst komplexe Sachverhalte schnell erfassen und strukturieren Sprachen: gutes Deutsch und Englisch Beginn: nach Absprache Dauer: 6 Monate (ausschließlich Pflichtpraktikum gem. SPO möglich) Wir bieten dir: 35 Stunden/Woche mit Gleitzeit eine feste Ansprechperson, die dich während deines Praktikums begleitet eine moderne Arbeitsplatzumgebung, sowie mobiles Arbeiten nach Absprache die Möglichkeit Teil unseres studentischen Netzwerkes students@bosch Stuttgart zu werden Vergünstigungen in unseren Betriebsrestaurants Voraussetzung für das Praktikum ist die Immatrikulation an einer Hochschule. Bitte füge deiner Bewerbung deinen Lebenslauf, deinen aktuellen Notenspiegel, eine aktuelle Immatrikulationsbescheinigung, deine Prüfungsordnung sowie ggf. eine gültige Arbeits- und Aufenthaltserlaubnis bei. Vielfalt und Inklusion sind für uns keine Trends, sondern fest verankert in unserer Unternehmenskultur. Daher freuen wir uns über alle Bewerbungen: unabhängig von Geschlecht, Alter, Behinderung, Religion, ethnischer Herkunft oder sexueller Identität. Du hast fachliche Fragen zum Job? Philipp Schönhaar (Fachabteilung) +49 711 811 52964 Daniel Klaiber (Fachabteilung) +49 711 811 24008 Work #LikeABosch beginnt hier: Jetzt bewerben!

We are seeking a technically-driven Product Application Engineer (PAE) specializing in MEMS acoustic products (MEMS microphones and MEMS speakers) to join our technical field application team, with a strong focus on high-performance audio products and premium/high-end acoustic solutions. This role focuses on customer-facing software and system technical support, product design-in guidance, and acoustic system debugging for consumer audio and smart hardware products. The PAE will act as the core technical bridge between the company’s R&D, global customers, ODM/OEM partners and customer facing roles(For e.g. Field Application Engineers(FAE), Product Managers(PrM) and Sales). You will independently support customer project development, solve electrical and acoustic technical problems in product integration, ensure smooth mass production of customer projects, and continuously promote product penetration in TWS earbuds, wearable devices, smartphones, smart glasses, home audio equipment and automotive acoustic systems. This position requires solid audio software and system expertise, on-site debugging capability and efficient cross-team communication skills. Key Responsibilities Full-Cycle Technical Support: Provide technical support for key customers and channel partners, including remote guidance and on-site technical support, focusing on MEMS microphone and MEMS speaker hardware integration, electrical debugging and acoustic performance optimization. Design-In Guidance: Assist customers in completing product design-in work, including schematic review, PCB layout optimization guidance, acoustic cavity design verification, sound channel design, mechanical integration and matching debugging of audio amplifier circuits to solve design bottlenecks in the early stage of customer projects. Acoustic Calibration & Troubleshooting: Responsible for acoustic performance testing, tuning and problem troubleshooting of MEMS audio products, including SNR, frequency response, THD, SPL, directivity, echo cancellation, noise reduction performance calibration, output standardized test reports and tuning schemes. System-Level Audio Debugging: Support customers in system-level audio debugging and verification in consumer scenarios such as TWS headsets, wearable devices, smartphones, smart audio and AR/VR devices, resolve problems such as sound distortion, background noise, sound leakage and acoustic mismatch. Value Promotion & Customer Education: Sort out and develop customer-oriented technical documents, including product application notes, hardware design guidelines, integration manuals, common problem solutions and conduct regular technical training for customers and internal sales and FAE teams. Actively promote and educate customers on the value of high-performance sound capture. Feedback & Product Definition: Collect customer technical feedback and market application pain points, sort out and feed back to R&D and product teams, assist in product iteration, performance optimization, new product definition and improve product market adaptability. Sales Collaboration: Cooperate with internal sales and FAE teams to carry out technical demonstrations, scheme promotion and project follow-up, assist in winning customer orders and accelerating project mass production and delivery. Mass Production Support: Follow up on technical problems of customer mass production stage, complete fault analysis and root cause verification, propose improvement plans and ensure the stability of customer mass production. Education: Bachelor’s degree or above in Electrical Engineering, Acoustics, Microelectronics, Electronic Information engineering and other related majors. Experience: 2+ years of working experience in audio hardware applications, FAE or system engineering, familiar with MEMS microphone and MEMS speaker product principles, performance parameters and industry application scenarios. Acoustic Testing Tools: Strong experience analyzing and evaluating audio products with hardware tools such as B&K, GRAS, Audio Precision, Listen Inc. (Soundcheck) or similar, familiar with acoustic performance test standards and calibration methods. Audio Engineering: Solid knowledge of audio circuit design, audio amplifier matching, acoustic signal processing, noise reduction and echo cancellation principles, able to independently complete hardware debugging and acoustic tuning of audio systems. Equipment Proficiency: Familiar with basic electronic bench equipment such as oscilloscope, signal generator and spectrum analyzer, capable of troubleshooting electrical and acoustic hardware faults quickly. Application Expertise: Familiar with audio application scenarios of TWS earphones, wearable devices, smartphones, smart glasses and consumer audio products with relevant project design-in and mass production support experience preferred. Communication Skills: Excellent verbal and written communication skills in both Mandarin and fluent English, able to accurately communicate technical schemes with customers, write standardized technical documents and problem analysis reports. Collaboration & Flexibility: Good cross-departmental collaboration ability, proactive work attitude, strong problem-solving ability, able to adapt to short-term business trips for customer on-site support. Preferred Qualifications Familiar with DSP audio algorithm, I2S/I2C/TDM/SWI3S (Soundwire) audio interface protocol and Bluetooth audio protocol. Have successful project experience in guiding ODM/OEM customers to complete MEMS audio product design-in and mass production. 该岗位内部推荐奖金为人民币 15000 元整（仅限博世内部员工申请），具体请参见《博世中国内部推荐政策》 Internal Referral bonus of this vacancy: RMB 15000 (Valid only for Bosch associates). For the detailed regulation, please refer to Bosch China Internal Referral Policy.

Kubernetes Infrastructure: Conceptualize, develop, and implement robust, high-performance deployment systems for highly available Kubernetes (K8s) environments. Microservices Architectures: Design, develop, and optimize resilient and scalable microservices architectures that form the foundation of our modern applications. CI/CD Excellence: Establish, maintain, and continuously improve fully automated CI/CD pipelines for seamless integration, testing, and deployment of microservices within Kubernetes systems. Technological Migration: Actively lead and execute the migration of existing Ansible-based deployment systems to modern, K8s-native CI/CD solutions to maximize efficiency and scalability. Mission-Critical Systems: Develop and optimize mission-critical IT systems that demand the highest standards of availability, performance, and security. Collaboration & Architecture: Work closely with other development teams, operations, product management, and external stakeholders to design, validate, and successfully implement technical solutions. Education: Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent; Master’s degree preferred. Profound Experience: Extensive and proven experience (at least 5 years) in software development, ideally in backend development and/or cloud-native technologies. Kubernetes Expertise: At least 3 years of hands-on experience and deep knowledge of Kubernetes, including the development of K8s Operators and a strong understanding of the K8s ecosystem. Automation Tools: Good knowledge and practical experience in configuring and utilizing Ansible for automation tasks. Helm Competence: Practical experience with Helm for package management and deployment in Kubernetes. Linux Affinity: Deep understanding and proficient handling of Linux operating systems. Microservices Specialist: Proven practical experience in developing, managing, and operating microservices-based applications. Messaging Systems (Nice-to-have): Knowledge and initial practical experience with Solace PubSub+ for messaging solutions are a plus. Security Tools (Desirable): Experience with OpenBao for secrets management is desirable. Problem-Solving Skills: A proactive approach, strong analytical abilities, and the capacity to independently and creatively solve complex technical challenges. Communication & Teamwork: Excellent communication skills, the ability to work effectively within a team, and to convey complex technical information clearly. Language Skills: Fluent English skills are required, German skills are a plus

Develop and maintain web application using oracle APEX Design and build interactive dashboards and reports using Power BI Write, test, and optimize SQL queries for data extraction, validation and reporting Support ETL processes, data integration, and workflow automation activities Analyze business requirements and translate them into technical solutions Perform application testing, troubleshooting, and system enhancement activities Prepare and maintain technical documentation, user guides, and process documentation Collaborating with business users and team members on solution development projects Currently pursuing a bachelor’s degree in computer science, Information Technology, Software Engineering, Data Science, or a related field Basic knowledge of SQL and relational database concepts Understanding of programming or web development concepts Familiarity with Power BI, Oracle APEX, Python, JavaScript, or ETL tools is an added advantage Strong analytical, problem-solving, and logical thinking skills Good communication and interpersonal skills Self-motivated, proactive, and willing to learn new technologies Able to work independently as well as in a team environment Available for a 6 month internship starting November 2026 Monthly internship allowance Leave Entitlement Work in a fast-growing semiconductor environment Apply now to join our team!

Tasks / Responsibilities:CAD plugin software development using C#, .NET WPF & integrating with CAD systems like Solidworks, Inventor, etcValidation of developed features in the CAD systems like Solidworks, Inventor, etcBug fixing of Integration & regression BUGsManual testing during Integration testing cycle phaseExpected skill set:(Top skills in the order of priority):1. CAD customization / CAD Systems domain (Solidworks / Inventor / OnShape / CATIA / NX)2. Desktop application tech stack - C#, .NET WPF3. Web application tech stack - ASP .NET & Angular4. JIRAGood to Have skills:Agile MethodologiesYears of Experience:6 to 9 years B.E, B.Tech 6 to 9 years

As a Senior Machine learning Engineer in the Perception team, you will play a pivotal role in building and maintaining the backbone of our L2+ ADAS stack. This senior role calls for an experienced engineer who can think critically, execute independently, and deliver results on scalable deep learning infrastructure, optimize massive data ingestion pipelines, and ensure maximum efficiency across our compute clusters. You will be responsible for the entire DL infrastructure lifecycle—from managing Azure storage and hybrid Kubernetes clusters to designing efficient data loaders for multimodal training. You will work at the intersection of infrastructure, data engineering, and deep learning, enabling feature teams to train complex models (single frame, temporal, and multimodal) with speed and reliability. Your ability to solve abstract infrastructure challenges and apply "T-shaped" expertise—going deep in areas like infrastructure, multitask deep learning among others while maintaining breadth in software design—will be key to our success. Responsibilities Deep Learning Infrastructure & Compute: ●Manage and optimize the entire DL infrastructure, including Azure Blob Storage integration, VNET setups, and hybrid compute resources (Cloud and On-premise/Frankfurt clusters). ●Lead performance investigations and benchmarking for next-gen hardware (e.g., comparing H200 vs. H100, Azure native vs. deployment nodes) to ensure cost and speed efficiency. ●Maintain and scale Kubernetes clusters for training and inference workloads. Data Pipelines & Efficient Loading: ●Architect and develop high-performance data loaders for complex multimodal datasets (camera, radar, temporal/non-temporal data). ●Modernize data processing pipelines using Ray and Kubernetes to parallelize data caching, shuffling, and oversampling. ●Leverage PyArrow and SQL to optimize data consumption and integration with data loops. ●Implement efficient dataset update strategies (handling deltas) and ensure seamless integration of new tasks into the multimodal multi-task network. CI/CD, Monitoring & Quality: ●Design and maintain robust GitHub Workflows and CI pipelines for new and existing feature teams. ●Develop KPI dashboards using Grafana to monitor compute usage, GPU efficiency, unit test durations, and overall system health. ●Manage dependency updates (Torch upgrades, Ubuntu updates, Hydra maintenance, Dependabots) to ensure a secure and modern stack. ●Drive software design excellence by performing thorough code reviews (PRs) and enforcing high standards in software architecture. Embedded & Evaluation: ●Establish scalable evaluation pipelines for embedded targets, specifically for QNN boards and other edge devices. ●Collaborate with feature teams to support model compression experiments and on-target performance verification. Required Qualifications ●Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. An advanced degree is an advantage. ●Experience: 5+ years of industry experience in MLOps, Data Engineering, or Software Infrastructure, with a focus on Deep Learning systems. ●Programming & Software Design: Expert-level proficiency in Python with a strong emphasis on clean software design, object-oriented programming, and architectural patterns. ●Infrastructure & Orchestration: Deep hands-on experience with Kubernetes, Docker, and Cloud platforms (specifically Azure ML, Azure Storage/Networking). ●Big Data & Optimization: Proficiency with high-performance data processing tools such as Ray, PyArrow, and SQL. Experience optimizing data loading bottlenecks for GPU training. ●DevOps & Monitoring: Experience setting up complex CI/CD pipelines (GitHub Actions) and observability stacks (Grafana, Prometheus). ●Soft Skills: Strong problem-solving abilities, proactiveness, and ownership of complex topics. Ability to adapt quickly to new technologies and work collaboratively in a supportive, high-performance team. Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. An advanced degree is an advantage. Deep Learning Knowledge: While deep algorithm knowledge is not mandatory, a strong understanding of Deep Learning workflows (PyTorch, training loops, multi-task learning) is highly beneficial. Embedded Systems: Experience with deploying or evaluating models on embedded hardware (Qualcomm QNN, etc.) or setting up hardware-in-the-loop pipelines. T-Shaped Skills: Ability to specialize deeply in infrastructure while lending a hand to feature teams on diverse topics (e.g., documentation builds, visualization tools).

Your Contribution to Something Big Support data analytics and Business Intelligence activities within logistics Assist with Python-based data processing and analysis Create reports, dashboards, and data visualizations using BI tools Work with logistics teams to understand business needs and support data-driven solutions Support data preparation, validation, and documentation activities Take part in AI-related projects and explore potential use cases Contribute to automation and improvement of existing workflows Collaborate with local and international team members What Distinguishes You 3rd or 4th-year undergraduate or postgraduate student in Computer Science, Industrial Engineering, Information Systems, or related fields Good knowledge of Python Familiarity with Business Intelligence tools such as Power BI, Tableau, or similar Previous experience creating a report or dashboard is an asset Strong interest in programming, data analytics, automation, and AI Basic knowledge of databases and SQL is an asset Familiarity with Pandas, NumPy, or AI/ML concepts is a plus Analytical mindset and willingness to learn Good communication and teamwork skills Very good command of English

Roles & Responsibilities : As a Software/Application Architect you will be responsible for: Stream deliverables are built efficiently, with a strong focus on quality, performance, and timely delivery Development aligns with architectural decisions and adheres to “Keep the Core Clean” principles Developers within the stream are well-led, guided, and coordinated for maximum productivity and alignment Code is documented, traceable, and testable to ensure smooth deployment, handover, and support readiness Delivery is tightly integrated with business needs through active collaboration with consultants, architects, and stakeholders The Application Architect acts as a stream-level architectural lead, ensuring technical direction, stability, and delivery excellence throughout the full development lifecycle Educational qualification: Information Technology, Business Administration, or a comparable field Experience : Experience as an SAP Technical Expert minimum 8+ years Experience in S/4 Project minimum 2 years Strong proficiency in SAP S/4 HANA development (ABAP, RAP, Fiori/UI5, CDS, BAdIs, BTP services, OO) Hands-on experience with integration (OData, IDocs, RFC, APIs, middleware) Stream-level ownership of development lifecycle, including design, implementation, testing, and deployment Familiarity with clean core extensibility, including side-by-side and in-app extensions, with awareness of technical debt impacts and mitigation strategies Competence in code performance tuning, debugging, and root cause analysis Working knowledge of SAP project tools (Transport & Release Management, Docupedia, SolMan, Eclipse) Ensures compliance with SAP standards and quality gates, reflecting the 8 Guiding Principles. Clear technical communication with consultants, testers, and architects Stream-level task coordination and developer support Analytical thinking for breaking down functional specs into scalable solutions Agile and adaptable in sprint-based delivery environments Strong focus on quality, consistency, and delivery predictability Hands-on mentoring of junior developers through reviews and coaching Problem-solving mindset to overcome development roadblocks quickly

Job Description: SAP BTP Full Stack Developer We are seeking an experienced SAP BTP Full Stack Developer to design, develop, and deploy cloud-native applications on the SAP Business Technology Platform (BTP). Knowledge of SAP HCM and SAP SuccessFactors (SF) is a strong advantage. Key Responsibilities SAP BTP Development - Design and develop applications using SAP BTP services such as CAP, SAPUI5/Fiori elements, HANA Cloud, - Build, deploy, and manage applications using BAS, Cloud Foundry, and Kyma. Full Stack Engineering - Develop responsive UIs using SAPUI5/Fiori. - Build backend services using Node.js, Java, or CAP. - Implement OData and REST APIs. Integration & Extensions - Develop S/4HANA, HCM, and SuccessFactors extensions on BTP. - Integrate using OData, SF APIs. DevOps & Quality - Implement CI/CD pipelines. - Ensure code quality, security, performance tuning, and documentation. Required Skills - 3–5 years in SAP BTP development. - Expertise in SAPUI5, Node.js/Java, CAP, HANA Cloud, OData/REST. - Familiarity with Git, DevOps, Agile. Advantageous Skills - Knowledge of SAP HCM modules. - Experience integrating/ extending SuccessFactors. Educational qualification: Experience : Mandatory/requires Skills : Preferred Skills :