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🎁 Quarter 4 JOINING BONUS Candidates with 4+ years of relevant experience who join BGSV by the end of 31 December 2026 can receive a Joining Bonus equivalent to 1 month’s gross salary , subject to program eligibility and terms & conditions. Bosch Engineering Process, Methods & Tools (MS/EPM-XC) is a key enabler of engineering excellence and AI transformation within Bosch Cross-Domain Computing Solutions (XC). Our mission is to improve engineering productivity through innovative processes, tools, automation, data analytics, and AI-driven solutions. Together with global XC organizations, we develop and operate engineering platforms, automation frameworks, DevOps solutions, data analytics systems, and Generative AI applications that help engineers deliver high-quality software faster and more efficiently. As part of our AI Transformation journey, we leverage GenAI, intelligent agents, and advanced software engineering practices to drive the future of AI-assisted engineering across Bosch XC. As an AI Engineer, your typical work activities include: Developing AI-powered tools and applications for engineering use cases. Building and integrating GenAI and AI agent solutions. Working with data pipelines, analytics, and machine learning workflows. Supporting AI model deployment and evaluation. Collaborating with global teams to improve engineering productivity. Contributing to software development, testing, and automation activities. Learning and applying the latest AI, cloud, and DevOps technologies. The job might be fit for you if you have: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Strong programming skills in Python and a solid foundation in software engineering principles. Familiarity with Generative AI, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), or modern AI application development. Experience with the use of Agents, Skills and Knowledge-bases setup Familiarity with AI development frameworks and tools such as LangChain, LangGraph, Semantic Kernel, OpenAI-compatible APIs, or similar ecosystems. Knowledge of cloud platforms, APIs, container technologies, and modern development practices. Understanding of data processing, prompt engineering, model evaluation, and AI application lifecycle. Experience with Git, CI/CD, testing, and collaborative software development workflows. Strong analytical thinking, problem-solving, and debugging skills. Excellent communication and teamwork abilities, with a proactive and growth-oriented mindset. Passion for learning emerging technologies and applying AI to solve real-world engineering challenges. Good English communication skills and the ability to collaborate effectively with global stakeholders. Nice to have Hands-on experience building AI copilots, AI agents, chatbots, or workflow automation solutions. Familiarity with any of cloud platform like Azure AI, AWS, Google Cloud, or enterprise AI platforms. Exposure to DevOps, MLOps, LLMOps, or software quality engineering practices. Contributions to personal projects, open-source initiatives, hackathons, or AI communities. 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…

Design, develop, deploy and maintain reliable ETL/ELT batch & streaming data pipelines, ingest structured/semi-structured/unstructured data from multiple source systems (DB, API, log, Kafka etc.) Perform dimensional data modeling, build and iterate data warehouse / data lake, define table schema, partition strategy, data layers (ODS/DWD/DWS/ADS)51job Write & optimize complex SQL, tune query performance, reduce resource cost and improve pipeline stability and SLA Implement data quality rules, anomaly detection, monitoring & alerting, troubleshoot data lineage and data consistency issues Use workflow orchestration tools to schedule, manage and monitor data jobs (Airflow/Dagster) Collaborate with analysts, DS and business stakeholders to translate business requirements into data solutions, build reusable datasets and data APIs Participate in data governance: metadata management, data security, access control, documentation for schema and pipelines51job Evaluate and adopt cloud data technologies (Snowflake/BigQuery/Redshift), continuously optimize storage and compute cost Experience on AWS/Azure/GCP cloud data stack Real-time streaming data pipeline development (Kafka, Flink, Pulsar) Data governance, data lineage, metadata platform construction experience Experience supporting ML feature platform / feature engineering English working proficiency Domain knowledge: automotive, manufacturing, finance, retail etc. Internal Referral bonus of this vacancy: RMB 3000(Valid only for Bosch associates).For the detailed regulation. please refer to Bosch China Internal Referral Policy

The Aftermarket Electronics Engineer is responsible for supporting electronic products throughout their post-launch lifecycle, including troubleshooting, redesign, validation, obsolescence management, and continuous improvement activities. This role works closely with cross-functional teams to analyze field issues, develop electronic solutions, support product sustainment, and ensure long-term product reliability and serviceability. Candidates must have a valid passport and US visa for travel. Key Responsibilities Analyze customer, service, and business requirements and translate them into electronic design proposals and technical solutions. Design, modify, and maintain electronic circuits and schematics using industry-standard CAD tools. Support product sustainment activities, including component obsolescence management, redesigns, and cost optimization initiatives. Bring up and validate prototype hardware, proof-of-concept designs, and engineering mockups. Investigate field failures and perform root cause analysis to identify corrective actions. Develop and execute validation and verification test plans and document test results. Perform electrical characterization, debugging, and troubleshooting using laboratory equipment. Collaborate with Mechanical, Firmware, Software, Manufacturing, Quality, and Service teams to develop and implement robust solutions. Support PCB design reviews, layout optimization, and manufacturing readiness activities. Ensure compliance with applicable EMC, EMI, ESD, safety, and regulatory requirements. Create and maintain technical documentation including schematics, test reports, design specifications, and engineering change documentation. Support product lifecycle management activities from design modifications through production implementation. Technical Skills Proficiency with Altium Designer for schematic capture and PCB design. Experience with electronic circuit simulation and validation tools. Harness and cable assembly design experience. Knowledge of component selection and qualification processes. Ability to interpret schematics, PCB layouts, and manufacturing documentation. Familiarity with engineering change management and product lifecycle management systems. Desired Competencies Strong troubleshooting and root cause analysis capabilities. Customer-focused mindset with an emphasis on product reliability and serviceability. Excellent organizational and documentation skills. Ability to manage multiple projects and priorities simultaneously. Collaborative approach to working with global and cross-functional teams. Continuous improvement mindset with a focus on quality and operational excellence. Experience with high-speed interfaces such as MIPI, MDI, HDMI, USB, LVDS, CAN, LIN, or Ethernet. Experience with control interfaces including I2C, SPI, UART, SPMI, and related communication protocols. Knowledge of power electronics including linear regulators, DC-DC converters, and switched-mode power supplies (SMPS). Understanding of electrical noise, signal integrity, and coupling mechanisms including conducted, radiated, and near-field effects. Knowledge of grounding, shielding, EMI, EMC, and ESD design practices. Experience with PCB layout design, review, and manufacturing processes. Experience supporting products through their complete lifecycle, including sustainment and obsolescence management. Familiarity with reliability testing, failure analysis, and corrective action processes. Experience working in automotive, power tools, consumer electronics, or industrial electronics environments. Problem solving Ability to work directly with development and plant teams. Leading internal and external communication Customer facing Stable, consistent transparency of risks & problems Realistic, complete planning of the entire project Leading internal and external communication Ability to negotiate Diplomatic skills and assertiveness Organizing internal and external escalation, crisis management Integration of line management Integration and motivation of the project team Get to know more about how we work at Bosch and our new open positions on our social networks: Facebook: Bosch Talento México Instagram: Bosch Campus México LinkedIn: Bosch México Tiktok: Bosch Talento México All of our vacancies are eligible for relocation financial support* based on internal mobility policy 0085. "Applicable vacancy for referral program"

At Bosch Research, we pioneer cutting-edge AI algorithms for high-impact industrial applications, from automated driving to intelligent agentic systems. Our innovations are the foundation for high-performance, robust, and safe AI solutions across the Bosch Group. Join us as a Chief Expert in Robotics and shape the future of autonomous systems. Drive End-to-End Robotics Deployment: As a Chief Expert Robotics, you will lead the technical implementation and architecture of advanced robotic systems by translating complex algorithms into reliable, production-ready hardware and software solutions. You will take physical robots from the concept and laboratory stage directly into real-world operating environments, whether in manufacturing, logistics, or field applications. Strategic Technology Leadership: Furthermore, you will define and drive the long-term robotics research roadmap by identifying emerging technologies in perception, manipulation, motion planning, and AI/ML. As a technical expert, you will make key decisions regarding system architecture, hardware-software co-design, and make-or-buy strategies. Foster Agile & Pragmatic Engineering Culture: Within interdisciplinary teams, you will foster a fast-paced, startup-like prototyping culture focused on rapid iteration, fail-fast principles, and continuous testing on physical hardware. You will mentor and coach researchers across multiple disciplines, including mechanical engineering, electronics, software engineering, and artificial intelligence. Stakeholder & Ecosystem Collaboration: You will work closely with business units, product managers, and external partners to ensure that our robotics innovations solve real customer needs and deliver a clear ROI. Last but not least, you will scout and collaborate with leading robotics startups, venture partners, and academic institutions to integrate state-of-the-art technologies. Education: Completed Master's degree or PhD in Robotics, Mechatronics, Computer Science, Electrical Engineering, or equivalent professional experience (minimum 8+ years in robotics/autonomous systems development) Required Experience and Knowledge: Minimum 8+ years of professional experience in robotics and autonomous systems, with demonstrated success in building or deploying advanced physical AI/robotic systems in production environments Proven background in robotics organizations, including startups, scale-ups, or innovation-focused teams Deep technical expertise in core robotics technology stacks (e.g., ROS/ROS 2, modern C++, Python, Linux/RTOS) Hands-on experience with GPU-accelerated simulation tools (e.g., NVIDIA Isaac Sim/Lab, MuJoCo) and teleoperation/data collection pipelines Practical experience with modern robotic learning methodologies (Imitation Learning, Diffusion Policy, ACT, Reinforcement Learning, or Foundation Models including VLMs/VLAs) Demonstrated knowledge of perception and state estimation techniques (sensor fusion, SLAM, 3D vision, LiDAR/camera calibration) Expertise in manipulation and grasping systems (end-effectors, tactile sensing, teleoperation) Professional experience with Hardware-in-the-loop (HIL) testing, safety protocols, and design for reliability Demonstrated ability to diagnose and resolve complex technical challenges across full-stack systems, from electrical and CAN bus issues on physical robots to software race conditions and edge cases Proven ability to communicate complex technical concepts effectively to executive leadership, customers, and cross-functional teams Track record of implementing iterative prototyping methodologies that enable rapid development cycles Languages: Fluent written and spoken English This position is open to Pittsburgh, PA, Sunnyvale, CA and Renningen, Germany. If you are interested in the position in: Germany please APPLY HERE The U.S. base salary range for this full-time position in Pittsburgh, PA is $290,000-$320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. #LI-JM1

At Bosch Research, we pioneer cutting-edge AI algorithms for high-impact industrial applications, from automated driving to intelligent agentic systems. Our innovations are the foundation for high-performance, robust, and safe AI solutions across the Bosch Group. Join us as a Chief Expert in Robotics and shape the future of autonomous systems. Drive End-to-End Robotics Deployment: As a Chief Expert Robotics, you will lead the technical implementation and architecture of advanced robotic systems by translating complex algorithms into reliable, production-ready hardware and software solutions. You will take physical robots from the concept and laboratory stage directly into real-world operating environments, whether in manufacturing, logistics, or field applications. Strategic Technology Leadership: Furthermore, you will define and drive the long-term robotics research roadmap by identifying emerging technologies in perception, manipulation, motion planning, and AI/ML. As a technical expert, you will make key decisions regarding system architecture, hardware-software co-design, and make-or-buy strategies. Foster Agile & Pragmatic Engineering Culture: Within interdisciplinary teams, you will foster a fast-paced, startup-like prototyping culture focused on rapid iteration, fail-fast principles, and continuous testing on physical hardware. You will mentor and coach researchers across multiple disciplines, including mechanical engineering, electronics, software engineering, and artificial intelligence. Stakeholder & Ecosystem Collaboration: You will work closely with business units, product managers, and external partners to ensure that our robotics innovations solve real customer needs and deliver a clear ROI. Last but not least, you will scout and collaborate with leading robotics startups, venture partners, and academic institutions to integrate state-of-the-art technologies. Education: Completed Master's degree or PhD in Robotics, Mechatronics, Computer Science, Electrical Engineering, or equivalent professional experience (minimum 8+ years in robotics/autonomous systems development) Required Experience and Knowledge: Minimum 8+ years of professional experience in robotics and autonomous systems, with demonstrated success in building or deploying advanced physical AI/robotic systems in production environments Proven background in robotics organizations, including startups, scale-ups, or innovation-focused teams Deep technical expertise in core robotics technology stacks (e.g., ROS/ROS 2, modern C++, Python, Linux/RTOS) Hands-on experience with GPU-accelerated simulation tools (e.g., NVIDIA Isaac Sim/Lab, MuJoCo) and teleoperation/data collection pipelines Practical experience with modern robotic learning methodologies (Imitation Learning, Diffusion Policy, ACT, Reinforcement Learning, or Foundation Models including VLMs/VLAs) Demonstrated knowledge of perception and state estimation techniques (sensor fusion, SLAM, 3D vision, LiDAR/camera calibration) Expertise in manipulation and grasping systems (end-effectors, tactile sensing, teleoperation) Professional experience with Hardware-in-the-loop (HIL) testing, safety protocols, and design for reliability Demonstrated ability to diagnose and resolve complex technical challenges across full-stack systems, from electrical and CAN bus issues on physical robots to software race conditions and edge cases Proven ability to communicate complex technical concepts effectively to executive leadership, customers, and cross-functional teams Track record of implementing iterative prototyping methodologies that enable rapid development cycles Languages: Fluent written and spoken English This position is open to Sunnyvale, CA; Pittsburgh PA and Renningen, Germany. If you are interested in the position in: Germany please APPLY HERE The U.S. base salary range for this full-time position in Sunnyvale, California is $330,000-$350,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

As a Data Engineer in the Engineering and Data Solutions department you will work with us on creating software products with a strong focus on security, quality and automation for continuous data flow in the scope of vehicle-to cloud ecosystem, working together with an internationally distributed team, in a hybrid working model. Become part of our team and join us in creating state of the art data products. In your role you will: Develop data integration solutions for large scale automotive R&D applications Design, test and document, reliable and excellent quality data integration solutions Design Proof-of-concepts and pitch for implementation. Contribute to the architecture and implementation of software products for (near)-real time processing. Develop solutions for scalable and automatic data processing, involving Extract, Load, Transform (ETL/ELT) in Big Data frameworks Create and maintain data visualizations in close collaboration with domain experts Work in an agile environment with an internationally distributed team and collaborate closely with key stakeholders (Project Leaders, Product Owners, Solution Architects) Present and communicate solutions to an international audience Guide and mentor new team members Technology stack: Python (with focus on data libraries: pandas, numpy, scipy etc.) Optional: Golang, Scala, Java Apache Spark / Pyspark Big Data platforms: on premises (Hadoop) and Cloud (Azure Databricks/Synapse/Data Factory) Automation: Azure DevOps/Pipelines / Apache Airflow / Jenkins Streaming and Messaging: Apache Kafka, RabbitMQ, MQTT Virtualization: Docker/Kubernetes Relational DBs (Oracle, mySQL) and noSQL DBs (MongoDB) Data Visualization (e.g. Tableau, PowerBI) Version source control (e.g. Git, Bitbucket) BSc and/or MSc in Computer Science, Automation, Electronics and Telecommunications, Informatics, Mathematics or comparable fields Minimum 2 years' experience as Data Engineer working on Data integration platforms Proficient Python programming skills Developing quick prototypes for data transformations Operations with tables in relational (or non) DBs Reporting and monitoring Organized, accurate, thorough, and able to monitor work for quality Excellent communication skills in English, both spoken and written Preferential: Practical experience in project coordination roles (e.g. product owner, agile master etc.) LikeABosch Benefits: Your work-life balance is valuable to us, so we offer you: 25 Days of annual leave , because work-life balance is essential to us; Flexible working hours. Your health and well-being is important to us, so we have you covered: Medical subscription; Accident insurance; Sport activities and well-being initiatives. We believe in a Life-Long Learning approach, so you can take advantage of: Technical and soft skills trainings; Access to e-learning platforms; Local and Global career development programs; Opportunity to attend conferences; Bookster subscription. You will be part of a product company . You will contribute to developing end-to-end products that are delivered to Global OEMs. On top of these, we are offering: A monthly budget which can be used for several different services on an online benefit platform; Annual bonus; Lunch discounts. Ready to work LikeABosch ? We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.

Position Purpose Deliver business outcomes on existing MA/BDO3 platforms by combining strong software engineering discipline with effective orchestration of AI agents. The role focuses on practical delivery in brownfield environments where engineers must understand existing code, integrations, business rules, data flows, operational constraints, and architecture guardrails before making safe changes. Key Responsibilities Feature Delivery & Defect Resolution Deliver new features, enhancements, defect fixes, integrations, and operational improvements across brownfield enterprise applications. Translate Jira stories, BDD scenarios, business rules, architecture guidance, and test cases into working software. Use AI agents to accelerate implementation while validating every generated output against business intent and technical standards. Own end-to-end delivery from analysis through code, tests, pull request, release readiness, and production validation. Agentic Engineering Execution Direct AI agents to perform codebase discovery, dependency analysis, impact analysis, refactoring, code generation, test generation, documentation, and troubleshooting. Create and improve reusable prompts, agent instructions, workflow templates, and context packages for recurring engineering tasks. Review, correct, and integrate AI-generated code and artifacts using engineering judgment and established review practices. Contribute improved system knowledge back into shared repositories so future agents and engineers become more effective. Brownfield System Understanding Analyze existing application behavior, integration dependencies, data models, legacy business rules, configuration, logs, and operational constraints before making changes. Preserve compatibility with existing business processes and upstream/downstream systems. Identify technical debt, risky dependencies, test gaps, and modernization opportunities during normal delivery work. Support incremental modernization such as framework upgrades, API enablement, cloud migration, component refactoring, and test automation. Quality, Security & Release Readiness Ensure delivered changes meet architecture standards, secure coding practices, performance expectations, and operational readiness requirements. Create or update automated unit, integration, regression, API, security, and BDD-based tests where appropriate. Validate AI-generated tests for meaningful coverage rather than accepting superficial test output. Participate in code reviews, pull request reviews, deployment preparation, CI/CD execution, and production support. DevOps & Operational Contribution Use Azure DevOps, Git, CI/CD pipelines, observability tools, and deployment automation to deliver reliable software. Use AI-assisted log analysis and root cause investigation to speed incident response and operational support. Improve documentation, runbooks, monitoring queries, and support knowledge based on delivery and production learning. Required Experience 5+ years of professional software engineering experience. Strong hands-on experience delivering changes in complex brownfield enterprise applications. Experience with C#, .NET Framework/.NET Core, ASP.NET, REST APIs, SQL Server, Azure services, and integration technologies. Experience with Git, pull requests, CI/CD pipelines, automated testing, and production release practices. Ability to work with incomplete documentation and reverse engineer behavior from code, tests, logs, databases, and business feedback. Agentic Engineering Skills Effective use of GitHub Copilot, Microsoft Copilot, coding agents, test generation tools, and documentation assistants. Prompting and agent instruction design for engineering tasks. Use of AI for impact analysis, code comprehension, refactoring, test creation, documentation, and troubleshooting. Ability to validate, challenge, and improve AI-generated output. Understanding of AI usage risks including hallucination, insecure code, missing edge cases, weak tests, stale context, and hidden integration dependencies. Core Competencies Strong engineering discipline and quality ownership. Practical problem solving in legacy and integration-heavy environments. Human + AI collaboration mindset. Attention to traceability, testability, security, and maintainability. Ability to communicate implementation risks and tradeoffs clearly. Continuous learning and willingness to improve agent workflows over time. Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization not available. Core Team works on Tuesday, Wednesday and Thursday in Plymouth 5%-10% Travel Passport required All your information will be kept confidential according to EEO guidelines. Equal Opportunity Employer, including disability / veterans. Comprehensive Benefit Offering – All benefits are effective DAY 1! Medical, Dental & Vision Life and Supplement Life Long and Short Term Disability Paid Time Off & Holidays 401K – with generous company match In addition to 401K, additional retirement benefit 100% company paid Annual bonuses Tuition Assistance Paid Volunteer Time Associate Discounts on Bosch products like home appliances, power-tools, thermal products like tank-less water heaters and more The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.” https://www.bosch.us/careers/why-bosch/culture-and-benefits/ https://www.myboschbenefits.com/public/welcome

You will be part of an international development team working on one of the core Internal Bosch applications, using Agile methodology. Your tasks will include: Maintaining, improving and extending the current software stack with new functionalities, Involvement in the entire software development lifecycle, from requirements gathering to design, implementation, testing and deployment. Collaboration with developers, process experts, architects and technical contacts of related systems. Participating in code reviews, mentoring junior developers and ensuring best practices in software development. We kindly ask candidates to share a link to their GitHub in CV. Current Student of 2-4 year of IT fields Availability of 30 hours per week Experience in Java (including Springboot, Hibernate, web services, REST, APIs) Knowledge of Agile (Scrum, Kanban) Knowledge of unit testing (Junit, Jupiter, Mockito) Basic understanding of Git / Git Flow Knowledge of: SOLID and Clean Code Test Driven Development Self-motivated, initiative-taking, flexibility Ability to work in a virtual team with different experts Good knowledge of English End-to-end thinking Benefits: Cooperation based on a civil-law contract (minimum 6 months) Hybrid collaboration model with access to a modern office in Warsaw Flexible scheduling of task delivery, allowing you to combine it with your studies Practical knowledge sharing within international team Learning and mentoring support from best Experts in the field A dynamic work environment with a friendly atmosphere Prepaid Lunch Card Pluxee Special offer for MultiSport Student Additional 5 paid days of break granted after 6 months of cooperation