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AI/GenAI Fejlesztő I AI/GenAI Engineer

On-sitefull timeMid-LevelWorldwide (On-site)
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AI solution development • Üzleti kihívások azonosítása és azok megvalósítható AI-megoldásokká történő átalakítása mérhető KPI-okkal. • Prediktív analitikai, gépi tanulási és generatív mesterséges intelligencia alkalmazások fejlesztése. • Generatív AI (GenAI) megoldások tervezése alapmodellek, prompt engineering, Retrieval-Augmented Generation (RAG), beágyazások (embeddings) és vektorkeresés alkalmazásával. • Agentikus AI-alkalmazások fejlesztése olyan keretrendszerek használatával, mint a LangGraph, Semantic Kernel, LlamaIndex, CrewAI vagy hasonló technológiák. • AI-komponensek integrálása vállalati alkalmazásokba, adatplatformokba és üzleti folyamatokba API-kon keresztül. • A megoldások értékelése minőség, teljesítmény, skálázhatóság, biztonság és üzemeltetési költségek szempontjából. AI lifecycle and operations • AI-megoldások fejlesztése a prototípustól a biztonságos és megbízható éles szolgáltatásokig. • Automatizált tesztelés, CI/CD folyamatok és reprodukálható telepítési eljárások megvalósítása. • DevSecOps alapelvek alkalmazása, beleértve a biztonságközpontú tervezést (security-by-design), az automatizált biztonsági vizsgálatokat és a sérülékenységkezelést. • Kódok, adatok, modellek, promptok, konfigurációk és értékelési adatkészletek verziókezelése és menedzselése. • Konténerizáció és Infrastructure as Code (IaC) alkalmazása, ahol indokolt. • Automatizált minőségi és biztonsági kapuk, valamint kontrollált telepítési, visszaállítási és helyreállítási mechanizmusok kialakítása. • Modell- és adatdrift, kimeneti minőség, megalapozottság (groundedness), biztonság, késleltetés, rendelkezésre állás, hibák és üzemeltetési költségek monitorozása. • Telepített AI-megoldások karbantartása, frissítése, újratanítása és folyamatos értékelése. • Incidenselemzés, sérülékenységek elhárítása és a kontrollált kivezetés támogatása. Communication and enablement • Együttműködés üzleti, IT, adatkezelési, kiberbiztonsági és platformcsapatokkal. • Az AI lehetőségeinek, korlátainak és technológiai kompromisszumainak kommunikálása műszaki és nem műszaki érintettek számára. • Felhasználási esetek feltárását és megoldástervezést támogató workshopok facilitálása. • Újrahasznosítható technikai minták, irányelvek és bevált gyakorlatok kidolgozása. • Csapatok támogatása az AI, DevSecOps, MLOps és GenAIOps technológiák alkalmazásában. • Legalább három év releváns szakmai tapasztalat mesterséges intelligencia, gépi tanulás, adattudomány vagy szoftverfejlesztés területén. • Gyakorlati tapasztalat AI- vagy gépi tanulási megoldások fejlesztésében és üzemeltetésében éles környezetben. • Tapasztalat interdiszciplináris szoftver- vagy IT-projektekben való együttműködésben. Technical skills • Magas szintű Python ismeret és releváns AI/ML könyvtárak használatában szerzett tapasztalat. • Tapasztalat gépi tanulási megoldások fejlesztésében, értékelésében és bevezetésében. • Tapasztalat generatív AI, RAG, embeddingek, vektorkeresés és LLM-ek értékelése terén. • Az agentikus AI-koncepciók ismerete, például az orkesztráció, eszközhasználat, memória és human-in-the-loop kontrollok területén. • Gyakorlati tapasztalat DevSecOps, MLOps és GenAIOps területen, beleértve az LLMOps gyakorlatokat is. • Tapasztalat Git, API-k, automatizált tesztelés, CI/CD és biztonsági szkennelési megoldások használatában. • Tapasztalat konténerek, felhőalapú telepítések, monitorozási és nyomkövetési (tracing) megoldások alkalmazásában. • A modellek, adatok, promptok és értékelési adatkészletek verziókezelésének ismerete. • Gyakorlati felhőalapú tapasztalat, előnyben az Azure platformmal. • Az AI-biztonság, adatvédelem és a biztonságos szoftverfejlesztési alapelvek ismerete. Personal skills • Erős analitikus és strukturált problémamegoldó képesség. • Magas fokú felelősségvállalás és önálló munkavégzési képesség. • Jó kommunikációs és érintettfél-kezelési (stakeholder management) készségek. • Képesség a technikai megoldások és a mérhető üzleti érték összekapcsolására. • Tárgyalóképes angol nyelvtudás; a német vagy a magyar nyelv ismerete előnyt jelent. Ismerd meg mit jelent a Work #LikeABosch. GROW - Nálunk kibontakozhatsz. Anyagi biztonságot & elismerést biztosítunk: A versenyképes alapbéred évente felülvizsgáljuk, emellett teljesítmény-, hűség-, és ajánlási bónuszt is kínálunk. Támogatunk szakmai & karriercéljaid elérésében: Hiszünk az élethosszon át tartó fejlődésben, így folyamatos tanulási és fejlődési lehetőséget kínálunk a szakmai és személyes karrier céljaid eléréshez egyaránt. ENJOY – Velünk teljes életet élhetsz. Egyensúlyban tartunk: Rugalmas munkaidőben dolgozhatsz otthonról vagy modern, kényelmes irodáinkból egyaránt, emellett számos gyermekgondozási lehetőséget is kínálunk. Fontos vagy számunkra: Ingyenesen biztosított egészségügyi, jogi és pénzügyi tanácsadással, szűrővizsgálatokkal, valamint egyéb programokkal és előadásokkal támogatjuk mentális és fizikai egészséged megőrzését. Egyéb juttatásaink: Élvezheted számos munkavállalói kedvezményünk előnyeit, rugalmasan felhasználható, igényeidhez igazított éves cafeteria kereted, melyek mellett támogatjuk a home office-t, a bejárást, valamint telephelyi étkezésed is. INSPIRE – Inspiráló vállalati kultúránkhoz Te is büszkén tartozol majd. Hűek vagyunk az értékeinkhez: Dolgozz olyan kultúrában, amely értékeli a sokszínűséget, hisz az átláthatóságban és a fenntarthatóságban. Kapcsolódj be társadalmi felelősség vállalási programjainkba, mint például véradási kampányok és jótékonysági tevékenységek. Legnagyobb erősségünk a közösségünk: Részt vehetsz csapatépítőkön és olyan szórakoztató vállalati eseményeken, mint például családi nap, valamint csatlakozhatsz aktív belső közösségeinkhez, ahol további izgalmas programlehetőségek várnak. Csatlakozz és Work #LikeABosch . Kérlek, az angol nyelvű önéletrajzoddal jelentkezz! Ha kérdésed van a pozícióval vagy a jelentkezési folyamattal kapcsolatban, először nézd meg a GYIK (FAQ) részt [ITT] , mert lehet, hogy ott már megtalálod a választ. Ha nem találod, amit keresel, írj nekünk bizalommal az alábbi e-mail-címre - hungary.talentacquisition@hu.bosch.com –szívesen segítünk. Kérjük, vedd figyelembe, hogy ezen az e-mail-címen jelentkezéseket nem tudunk fogadni. A pozícióra kizárólag a hirdetésben található „Jelentkezés most” („Apply now”) gombra kattintva lehet jelentkezni.

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AI / ML & Data ScienceVia SmartRecruiters
Verified5 days ago

Microsoft Power BI Developer

On-sitefull timeMid-LevelBudapest, Hungary
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As a Microsoft Power BI Developer , you will be part of our global, cross-functional Business Intelligence team (xBI) , developing data and analytics solutions for internal customers across Bosch worldwide. Working in an international DevOps environment, you will collaborate closely with product owners, business experts and fellow developers to transform complex business requirements into scalable and meaningful Power BI reports and Premium datasets . You will have the freedom to contribute your ideas, explore our business data platform and actively shape how data supports decision-making across Bosch. Your tasks: ► Design, develop and continuously improve Power BI reports, dashboards and Premium datasets ► Work closely with internal customers, product owners and business experts to collect and analyze complex requirements and translate them into effective BI solutions ► Design and implement data models, analytics solutions and visualizations that turn complex data into meaningful business insights ► Develop and optimize solutions using Power BI, DAX, DAX Studio and Microsoft Fabric ► Work with data warehouse environments and concepts including dimensions, facts, aggregate facts, data marts and common schema architectures ► Take responsibility for Power BI Service backend operations , including dataflows, gateway configuration, dataset and pipeline refreshes and troubleshooting ► Manage access and security topics such as Row-Level Security (RLS), permissions and deployment/lifecycle processes ► Identify and resolve complex technical and data-related issues independently and in collaboration with the global development team ► Contribute to the continuous improvement of development standards, solution quality and BI processes within an agile DevOps environment ► Work closely with internal and external service providers as well as international stakeholders to deliver reliable and scalable data solutions ► University degree in Business Informatics, Computer Science, Physics, Data Science or a comparable field ► At least 3 years of professional experience as a Power BI Developer , combined with several years of experience in Business Intelligence, Data Analytics or Data Warehousing ► Strong hands-on experience with Microsoft Power BI, DAX, DAX Studio and Microsoft Fabric ► Working knowledge of the Microsoft BI and Azure technology stack ► Solid understanding of data warehousing concepts, ETL processes, analytics and reporting ► Experience in designing data models and developing scalable reporting and analytics solutions ► Hands-on experience with Power BI Service administration and backend operations , including dataflows, gateways, refresh troubleshooting, security and deployment processes ► Ability to understand complex business requirements and translate them into sustainable technical solutions ► Strong analytical and troubleshooting skills with a high focus on code and solution quality ► Agile, proactive and solution-oriented working style with the ability to take ownership and work independently ► Collaborative mindset and enthusiasm for working in an interdisciplinary and international environment ► Passion for data, analytics and creating solutions that make complex information easy to understand ► Fluent English , both written and spoken What gives you further advantages: ► Experience with enterprise-scale Power BI Premium environments ► Advanced knowledge of Microsoft Fabric and Azure data services ► Experience with CI/CD, deployment pipelines or DevOps practices for BI solutions ► Experience working in global or cross-functional development teams ► Knowledge of data governance, reporting standards or enterprise analytics architectures ► German language skills Get to know our #LikeABosch benefits. We would like to help you GROW , so we offer you: Financial security & recognition: We review and increase your competitive base salary annually, offer performance-, loyalty-, and referral bonus. Trainings and professional development: We believe in a Life-Long Learning approach, so you can take advantage of several technical and soft skill trainings and language courses. Career development : We have a wide range of programs to choose from, even if its leadership, expert or project development you are aiming for. We also offer mentoring and coaching opportunities, we have PhD program and we offer international assignment possibilities. We would like you to ENJOY the benefits of balancing your life and your work, so we pay attention to: Your work life-balance: You can work from our activity based offices designed for creativity and efficiency or from home while enjoying flexible working hours . We offer childcare possibilities and sabbatical option. Your health and well-being: We provide free professional consultants for any personal, legal, financial or health related issues. You can benefit from our developing onsite medical center and organized regular health checkups. We also offer you several perks and benefits: You can use your annual cafeteria allowance flexibly for family support (e.g. tax-free kindergarten and nursery allowances), health care , mobility (car sharing services) and recreation . You can enjoy our onsite canteen, we support when you work from home and if you live far, we cover your commute costs . We also appreciate your loyalty with jubilee gift and extra jubilee holiday . You could join an INSPIRING community worth to belong: We are true to our values: We are committed to sustainability , we value that everyone is different and that diversity makes us truly successful. We also take social responsibility seriously and regularly organize charity actions, blood donations and support worthy causes. Team building activities and community events are also part of our everydays. We like to come together for a good summer party or family day. Are you ready to work #LikeABosch ? Please apply with your English CV! If you have any questions regarding the position or the application process, we encourage you to first visit our FAQ section [HERE] , where you may already find the answer you're looking for. If you still need assistance, please feel free to contact us at the following email address - talentacquisitionhungary@bosch.com - We'd be happy to help. Please note that applications submitted via this email address cannot be accepted. To apply for the position, please use the “Apply now” button available in the job posting.

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Software EngineeringVia SmartRecruiters
Verified5 days ago

[EAF] Senior AI Engineer (with Joining Bonus)

On-sitefull timeSeniorHo Chi Minh City, Vietnam
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🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. The Senior Engineer - AI is responsible for developing and implementing machine learning models to address business and technical requirements across product portfolios. This role involves analyzing complex datasets, building predictive models, and preparing AI solutions for deployment into engineering applications. Main Roles and Responsibilities Design and build scalable AI/ML solutions based on project requirements as per communication and alignment with customer or customer interface. Process and analyze large-scale datasets to extract features and identify patterns for model training. Integrate and deploy AI/ML models into existing software systems and platforms. Apply statistical analysis and data validation techniques to ensure the quality and reliability of training data. Collaborate with cross-functional teams to understand requirements, sharing technical insights, and contributing to solution design to drive continuous improvement and innovation within own domain. Perform model evaluation, validation, and tuning to optimize performance and ensure alignment with business objectives. Mentor junior engineers by providing guidance on machine learning concepts, coding practices, and data analysis techniques. Utilize modern machine learning frameworks including TensorFlow or PyTorch for model development and experimentation. Ensure compliance with applicable industry standards, regulatory requirements, company policies, and quality frameworks applicable to the role and assigned projects. Perform other tasks as assigned by Managers. Mandatory Requirements At least 3–4 years of experience. Proven hands-on experience in developing and deploying machine learning models. Proven experience with modern ML frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. Experience working with l arge datasets and production AI systems. Ability to implement solutions from scratch and build products across the full product lifecycle based on the following requirements: Generative AI & LLM Engineering: Generative AI, Large Language Models (LLMs), LangChain/LlamaIndex, Vector DB AI Agents & Intelligent Systems: AI Agents/Frameworks, NLP, Model Based Development Machine Learning & Deep Learning: Machine Learning, Neural Network Architectures, PyTorch, OpenCV / Image Processing MLOps & Model Lifecycle: MLOps / ML Lifecycle Management, Model Validation & Evaluation, Data Annotation Basics AI Software & Data Engineering: Python, Data Modelling & Design Proficient in English Communication. Proficient in Office Applications (e.g., MS Word, Excel, PPT). Bachelor’s degree in computer science, Data Science, Engineering, or a related field. Master’s degree is a plus Why BOSCH? Because we don't just follow trends, we create them. Because together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam Join a dynamic and fast growing global company (English-speaking environment) 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% monthly basic salary and mandatory social insurances in 2-month probation Onsite opportunities: short-term and long-term assignments 15++ days of annual leave + 1 day of birthday leave Premium health insurance for employee and 02 family members Flexible working time Lunch and parking allowance Various training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skills Fitness & sport activities: football, badminton, yoga, Aerobic Free in-house entertainment facilities and snack Join in various team building, company trip, year-end party, tech talks and a lot of charity events

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AI / ML & Data ScienceVia SmartRecruiters
Verified5 days ago

[EAF] Lead AI Engineer (with Joining Bonus)

On-sitefull timeLead / StaffHo Chi Minh City, Vietnam
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🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. The Lead Engineer - AI is responsible for designing and developing artificial intelligence and machine learning models to address business and technical requirements. This role owns key technical topics within the AI domain, guiding team members in the implementation of robust and scalable solutions across product portfolios. Main Roles and Responsibilities Design and develop AI/ML solutions, including computer vision, GenAI, natural language processing, and predictive analytics, to meet project specifications as per communication and alignment with customer or customer interface. Lead the implementation of the full lifecycle of AI/ML solutions , from data acquisition and preprocessing to model deployment and monitoring. Own the technical design and architecture for specific AI/ML solutions and features within larger engineering applications. Conduct in-depth data analysis and feature engineering to extract insights and improve model accuracy and robustness. Implement MLOps best practices, including version control for data and models, automated testing, and CI/CD pipelines for machine learning systems and drive innovation. Mentor junior engineers on AI/ML concepts, coding best practices, and the use of modern data science tools and frameworks. Apply advanced machine learning frameworks including TensorFlow, PyTorch and statistical methods to build, train, and validate high-performance models. Guide team members in resolving complex technical challenges and ensure the quality and integrity of AI/ML work products through technical reviews. Ensure compliance with applicable industry standards, regulatory requirements, company policies, and quality frameworks applicable to the role and assigned projects. Perform other tasks as assigned by Managers. Job Requirements: At least 4–6 years of experience . Proven professional experience in developing and deploying machine learning models and AI systems . Proven experience with modern ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices . Experience in owning technical topics and mentoring junior team members is required . Ability to implement solutions from scratch and build products across the full product lifecycle based on the following requirements: Generative AI & LLM: Generative AI, Large Language Models (LLMs), AI Agents/Frameworks, LangChain/LlamaIndex, Vector DB Machine Learning & Deep Learning: Machine Learning, Neural Network Architectures, PyTorch, NLP, OpenCV / Image Processing, Model Based Development MLOps & Model Lifecycle: MLOps / ML Lifecycle Management, Model Validation & Evaluation, Data Annotation Basics Data & Software Engineering: Python, Data Modelling & Design, Code Review, Solution Design Professional & Communication Skills: Problem Solving, English Communication , Office Applications (Word, Excel, PPT). Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. Nice to Have Relevant certifications in Machine Learning or Cloud Platforms (e.g., AWS, Azure, GCP) are a plus. Why BOSCH? Because we don't just follow trends, we create them. Because together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam Join a dynamic and fast growing global company (English-speaking environment) 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% monthly basic salary and mandatory social insurances in 2-month probation Onsite opportunities: short-term and long-term assignments 15++ days of annual leave + 1 day of birthday leave Premium health insurance for employee and 02 family members Flexible working time Lunch and parking allowance Various training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skills Fitness & sport activities: football, badminton, yoga, Aerobic Free in-house entertainment facilities and snack Join in various team building, company trip, year-end party, tech talks and a lot of charity events

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AI / ML & Data ScienceVia SmartRecruiters
Verified5 days ago

🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. About the Role We are looking for a Senior Telematics Software Engineer with strong embedded Android experience to drive the migration of our Telematics Control Unit (TCU) software framework from Embedded Linux to Android (AOSP / Android Automotive), across both Commercial Vehicle / Off-Highway and Passenger Car programs. This is a foundational platform migration, not a feature port: you will re-architect vehicle-network interfaces, connectivity, diagnostics, and OTA mechanisms to run natively within the Android framework — HALs, system services, SELinux policy — while preserving the functional behavior, performance, and cybersecurity posture already proven on the current Linux platform. You will own the technical plan end-to-end and work directly with platform, cloud, and OEM customer teams to sequence it without disrupting shipping programs. Key Responsibilities Own the technical strategy and execution plan for porting the existing embedded Linux telematics framework to Android (AOSP / Android Automotive), including a gap analysis of what changes at the HAL, native service, and application layers. Re-architect vehicle-network interfaces (CAN / CAN-FD, J1939, ISOBUS, UDS, DoIP) as Vehicle HAL (VHAL) extensions or native AIDL/HIDL services, preserving existing signal processing and diagnostics behavior. Port connectivity and cloud communication — 4G/5G modem integration via the RIL/Telephony framework, GNSS, MQTT/HTTPS telemetry — to Android system services. Migrate OTA (FOTA/SOTA) update mechanisms, remote diagnostics, and fleet-management data services to Android's update framework (A/B seamless updates or equivalent), maintaining feature parity with the current implementation. Adapt regulatory and safety-related features (eCall / ERA-GLONASS, tachograph and driver-data interfaces, emissions/usage reporting) to run correctly within Android's process and permission model. Define and enforce SELinux policies, Android permission boundaries, and secure/verified-boot equivalents to preserve or improve the platform's cybersecurity posture (ISO/SAE 21434, UNECE R155/R156) through the migration. Build and maintain the Android build system (AOSP repo/manifest, device tree, BSP integration) for the target TCU hardware. Define a test strategy that validates functional and performance parity between the Linux and Android implementations before cutover — regression suite, bench testing, and vehicle-level validation. Collaborate with platform/BSP, cloud/backend, and OEM customer teams to sequence the migration against shipping programs; define a phased or parallel-run rollout plan. Document architecture decisions and migration learnings, and mentor engineers ramping up on embedded Android. Required Qualifications Bachelor's or Master's degree in Computer Science, Electrical/Electronics Engineering, or a related field. 7+ years of embedded software development in automotive, telematics, or IoT, with strong C/C++ (C++14 or later) and Java/Kotlin for Android-layer work. Direct, hands-on experience with embedded Android / AOSP: HAL development (VHAL or custom HALs), AIDL/HIDL, system services, SELinux policy, and the Android build system (Soong/Make, repo/manifest). Experience with cellular connectivity (LTE/5G modems, RIL integration on Android), GNSS, and cloud protocols (MQTT, TLS, REST). Experience with Android OTA update mechanisms (A/B seamless updates or equivalent) and secure boot / verified boot concepts. Proven experience carrying a non-trivial embedded system through a platform/OS migration — able to speak concretely to gap analysis, phased cutover, and regression risk. Proficiency with automotive tooling: Vector CANoe/CANalyzer, bus analyzers, debuggers (JTAG/Lauterbach), Git, CI/CD. Solid experience with Embedded Linux (Yocto/Buildroot) telematics platforms — you need to understand what you're migrating from as well as to. Solid knowledge of vehicle networks and protocols: CAN / CAN-FD, J1939, UDS, DoIP; experience with at least one of ISOBUS, FMS, or Automotive Ethernet / SOME-IP. Preferred Qualifications Prior production experience specifically with Android Automotive OS (AAOS) and its Vehicle HAL. AUTOSAR Classic or Adaptive experience alongside Android. Knowledge of ISO/SAE 21434, UNECE R155/R156 (cybersecurity), and ISO 26262 (functional safety) as applied to an Android-based platform. Experience with eCall / ERA-GLONASS, digital tachograph (EU 165/2014), or emissions telematics (e.g., OBD-over-telematics, China GB17691). Familiarity with Automotive SPICE or comparable structured development processes. Experience working with global OEM customers and multi-site development teams. Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

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Software EngineeringVia SmartRecruiters
Verified5 days ago

🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. About the Role We are looking for a Senior Telematics Software Engineer to design, develop, and deliver connected-vehicle software across two vehicle domains: Commercial Vehicle / Off-Highway (trucks, buses, construction, and agricultural machinery) and Passenger Car. You will own features end-to-end on the Telematics Control Unit (TCU) — from vehicle-network data acquisition through edge processing to cloud connectivity — and adapt platform software to the distinct protocols, duty cycles, and regulatory requirements of each segment. Key Responsibilities Design, implement, and maintain embedded telematics software on TCU platforms (Embedded Linux / RTOS) for both CV/OHW and Passenger Car programs. Develop vehicle-network interfaces: CAN / CAN-FD, J1939 and FMS (CV), ISOBUS / ISO 11783 (OHW), and OEM-specific signal matrices, UDS (ISO 14229) and DoIP diagnostics (Passenger Car). Implement connectivity and cloud communication: 4G/5G modem integration, GNSS, MQTT/HTTPS telemetry pipelines, and device management with AWS IoT / Azure IoT or equivalent. Build and maintain OTA (FOTA/SOTA) update mechanisms, remote diagnostics, and fleet-management data services. Implement regulatory and safety-related features: eCall / ERA-GLONASS, tachograph and driver-data interfaces (CV), and emissions/usage monitoring data reporting. Apply automotive cybersecurity (ISO/SAE 21434, UNECE R155/R156) and support functional safety activities (ISO 26262) where applicable. Own features end-to-end: requirements analysis, architecture, implementation, unit/integration testing, vehicle-level validation, and issue resolution in the field. Collaborate with OEM customers, cloud/backend teams, hardware engineers, and suppliers; support SOP milestones and field escalations. Mentor junior engineers and drive code quality through reviews, CI/CD, and static analysis. Required Qualifications Bachelor's or Master's degree in Computer Science, Electrical/Electronics Engineering, or related field. 5–8 years of embedded software development in automotive, telematics, or IoT, with strong C/C++ (C++14 or later); Python for tooling and test automation. Proficiency with automotive tooling: Vector CANoe/CANalyzer, bus analyzers, debuggers (JTAG/Lauterbach), Git, CI/CD. Hands-on experience with Embedded Linux (Yocto/Buildroot) and/or RTOS on ARM-based platforms. Experience with cellular connectivity (LTE/5G modems, AT command / RIL integration), GNSS, and cloud protocols (MQTT, TLS, REST). Experience with OTA update frameworks and secure boot / secure communication concepts. Strong debugging skills across embedded, network, and cloud boundaries; able to work directly with vehicles and test benches. Solid knowledge of vehicle networks and protocols: CAN / CAN-FD, J1939, UDS, DoIP; experience with at least one of ISOBUS, FMS, or Automotive Ethernet / SOME-IP. Familiarity with Automotive SPICE or comparable structured development processes. Preferred Qualifications Experience delivering telematics features in both commercial vehicle/off-highway and passenger car programs. Experience working with global OEM customers and multi-site development teams. Experience with eCall / ERA-GLONASS, digital tachograph (EU 165/2014), or emissions telematics (e.g., OBD-over-telematics, China GB17691). AUTOSAR Classic or Adaptive experience; Android Automotive or QNX exposure. Knowledge of ISO/SAE 21434, UNECE R155/R156 (cybersecurity) and ISO 26262 (functional safety). V2X (DSRC / C-V2X), edge analytics, or vehicle data platforms (e.g., COVESA VSS). Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

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Software EngineeringVia SmartRecruiters
Verified5 days ago

🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. About the Role We are looking for a Penetration Tester to join our AI Safety & Security team, working hands-on across Bosch's growing portfolio of AI-enabled products and internal tooling — LLM deployments, agentic AI systems, and Model Context Protocol – style tool-calling integrations. Under the direction of the team's Lead AI Safety & Security Engineer, you will execute structured test plans against real systems, covering both whether an AI system behaves safely (does it refuse harmful requests, stay within its intended scope) and whether it is secure (can it be manipulated via prompt injection or tricked into misusing its tools). This is an individual-contributor role on a newly forming team — you'll be running real engagements from day one, not just shadowing them. Key Responsibilities Execute penetration tests and safety evaluations against LLM-based features and AI agents, following test plans and specifications defined by the team lead. Run red-teaming and jailbreak testing to surface harmful, biased, or unsafe model outputs, and document reproducible findings. Test for prompt injection (direct and indirect), excessive agency, and tool/plugin abuse in agentic and MCP-style tool-calling systems. Verify human-in-the-loop and guardrail controls hold up under adversarial conditions, not just in normal use. Write clear, reproducible findings reports — evidence, severity, and a specific recommended fix — that both engineers and governance stakeholders can act on. Help build and maintain test tooling: adversarial-prompt scripts, jailbreak test cases, and MCP/tool-schema fuzzing scripts. Track published AI security research (OWASP LLM and Agentic Top 10s, MITRE ATLAS) and bring new attack techniques into the team's test suite. Work directly with AI/ML engineering teams to reproduce, triage, and confirm fixes for reported findings. Support the team lead in scoping and coordinating external red-teaming/pentest vendor engagements when work is outsourced. Required Qualifications Bachelor's degree in Computer Science, Machine Learning, or a related field. 2–5 years in penetration testing, security testing, or applied AI/ML security work. Hands-on experience testing LLM or agentic AI systems — prompt injection, jailbreaks, or tool/plugin abuse; coursework, CTFs, or independent projects count given how new this field is. Working familiarity with the OWASP Top 10 for LLM Applications and/or OWASP Top 10 for Agentic Applications. Comfortable scripting in Python and/or JavaScript/Node to automate test cases. Clear, precise technical writing for findings reports. Preferred Qualifications Exposure to the Model Context Protocol (MCP) or comparable agent tool-calling frameworks. Traditional penetration testing experience across web, API, or network targets. Familiarity with AI governance concepts (NIST AI RMF, ISO/IEC 42001, EU AI Act). Open-source security tooling contributions, CTF results, or a public research/write-up portfolio. Relevant Certifications (any of the following a plus) Offensive security / penetration testing — OSCP, GPEN, GWAPT, or CEH. AI-specific security — ISC2 AI Security Certificate or Certified AI Security Professional (CAISP). Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

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CybersecurityVia SmartRecruiters
Verified5 days ago

[EJV] Lead AI Safety & Security Engineer (with Joining Bonus)

On-sitefull timeLead / StaffHo Chi Minh City, Vietnam
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🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. About the Role We are looking for a Lead AI Safety & Security Engineer to own safety evaluation and security testing across Bosch's growing portfolio of AI-enabled products and internal tooling — large language model deployments and agentic AI systems (including Model Context Protocol – style tool-calling integrations), and the enterprise services they connect to. You will lead both sides of the same coin: whether an AI system behaves safely (does it refuse harmful requests, avoid unsafe recommendations, stay within its intended scope) and whether it is secure (can it be manipulated via prompt injection, tricked into misusing its tools, or made to leak data it shouldn't). This is a cross-business-unit mandate, not a single product line — you will build the practice largely from the ground up. Key Responsibilities Design and run safety evaluations for LLM-based features and AI agents: red-teaming for harmful, biased, or unsafe outputs; jailbreak and guardrail-bypass testing; systematic benchmarking against known safety failure modes. Design and run security testing for the same systems: prompt injection (direct and indirect), excessive agency, tool/plugin abuse, and confused-deputy risks in agentic and MCP-style tool-calling architectures. Build and maintain a threat model covering the full path from user input through model reasoning to tool execution — identifying where a safety failure and a security failure are really the same underlying gap. Verify human-in-the-loop and guardrail controls are architecturally sound wherever an AI agent can take a consequential action (a write to a business system, an automated communication, a code change) — not just present in a UI that can be talked around. Scope, brief, and review the output of external red-teaming/pentest vendors; write test specifications and acceptance criteria for AI-specific engagements. Track and apply emerging frameworks — OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act — translating new research into concrete internal test requirements before it becomes an incident. Partner with AI/ML engineering teams across business units to get safety and security reviewed into system design, not only tested after the fact. Produce evidence and documentation supporting AI governance and compliance needs (ISO/IEC 42001 AI management system, EU AI Act risk assessments, internal responsible-AI review processes). Build test tooling as needed: adversarial-prompt harnesses, automated jailbreak/red-team pipelines, and MCP/tool-schema fuzzers. Mentor engineers on safe and secure AI system design, and grow the practice as it scales across more teams and products. Required Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 6+ years in security testing, AI/ML safety research, or a closely related discipline, with a track record of finding real issues in real systems. Practical experience testing or red-teaming LLM/agentic AI systems — prompt injection, jailbreaks, excessive agency, tool/plugin abuse — independent research or open-source contributions are acceptable given how new this specialty is. Working knowledge of at least one AI safety/governance framework (NIST AI RMF, ISO/IEC 42001, EU AI Act) and how it translates into concrete engineering requirements. Enough coding ability (Python and/or JavaScript/Node) to build evaluation harnesses and test tooling rather than rely solely on manual testing. Strong technical writing — comfortable producing findings and specifications that both engineers and governance/compliance stakeholders can act on directly. Preferred Qualifications Direct experience with the Model Context Protocol (MCP) or comparable agent tool-calling frameworks. Traditional penetration testing background (web/API/network), OSCP or equivalent. Experience contributing to a formal AI governance or compliance program. Publications, CTF/red-team competition results, or open-source security tooling in the AI safety/security space. Experience mentoring or building out a small safety/security testing team. Relevant Certifications (any of the following a plus) Offensive security / penetration testing — OSCP, OSWE, OSEP, GPEN, GWAPT, or CEH. AI-specific security — ISC2 AI Security Certificate, EC-Council Certified Offensive AI Security Professional, or Certified AI Security Professional (CAISP). AI governance / compliance — ISO/IEC 42001 Lead Auditor or Lead Implementer, or IAPP AI Governance Professional (AIGP). Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

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CybersecurityVia SmartRecruiters
Verified5 days ago

[EJV] 3 Embedded Software Developer (Open for Fresh graduate)

On-sitefull timeMid-LevelHo Chi Minh City, Vietnam
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Analyze customer requirement suites in CAN Protocol / CAN Diagnosis (KwP, UDS). Design and Develop Embedded Software suites in CAN Protocol / CAN Diagnosis (KwP, UDS). Propose technical solution for customer demand or to resolve technical issue. Execute unit and functional tests with Automotive simulating Lab. Research new technology, new method to enhance performance of automotive system. Follow Development working process (V-Model) and ASPICE Bachelor of Engineering in Computer Science/ Electrical/ Electronics/ Mechatronics or relevant majors Have 3 years of experience in embedded software development. Fresh graduates with good academic background and passion in embedded system are welcome to apply. Good in C/C++ programming for Embedded Software, Compiler, make file, Python. Proficiency in scripting or automation tools (e.g., Python, Bash, PowerShell, or workflow automation platforms) Knowledge in CAN Protocol, Diagnosis (KwP, UDS), ISO 14229. Knowledge in Microcontrollers or Microprocessors, sensor / IO / UART. Knowledge in Real Time Operating System (RTOS), automation control, testing with debugger. Have ability to effectively apply AI tools in professional workflows Good English communication skills Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

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Software EngineeringVia SmartRecruiters
Verified5 days ago

Sr. Software Engineer_Cloud_Devops

On-sitefull timeSeniorBengaluru, India
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Key responsibilities: Ensure the stability, scalability, and performance of the data pipelines solution. Monitor and maintain batch data pipelines in a cloud-based environment. Improve operational processes including incident handling, performance monitoring, and issue resolution. Optimize Databricks workloads to improve efficiency and reduce costs. · Analyze and fine-tune the cloud infrastructure for better cost optimization. Technical Skills: Solid understanding of common issues in cloud-based data pipelines and analytics solutions Working knowledge of Databricks and Lakehouse architecture in a cloud environment. Working with Batch accounts, IAC, GitHub, IAM, and CI/CD pipelines Experience with command-line scripting (e.g., PowerShell ). Experience with data pipeline orchestration tools (e.g. Azure Data Factory) Understanding of monitoring and logging tools is a plus. Soft Skills: Excellent problem-solving and critical thinking skills, with a proactive approach to incident management and root cause analysis. Strong communication and coordination abilities, capable of working effectively across cross-functional and international teams. High level of ownership, with a strong drive for operational excellence, efficiency, and continuous improvement. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field. Professional Experience: Experience in operating and maintaining large-scale cloud data solutions in production environments. Proven experience as a Data Engineer, with a strong focus on Azure Data factory and Databricks. Experience working in an automotive domain is a plus. Languages: Fluent in English (written and spoken); additional languages are a plus. 3-5 years Experience in cloud infra and Devops

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Software EngineeringVia SmartRecruiters
Verified5 days ago

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