All candidates will get training of ZNT products and tools in Germany, and work closely with your colleagues in Germany and Asia.Bachelor degree in computer science with at least 2 years of work experienceSelf starter to drive and rollout systems yourselfExperience with project managementSound understanding of the manufacturing industry and its automation processes, preferable in the semiconductor or medical device industryExperience with the following is a plus: Equipment interfacing, to control equipment from other systems, as well as to collect data from those systemsEquipment characterization - SECS/GEMExperience with MES systemsExperience with APC and SPCReporting systemsExcellent communication skills, commitment and flexibilityTeam builder, as well as with your colleagues as with the customer Betriebliche Altersvorsorge Aus- und Weiterbildung Flache Hierarchien und kurze Kommunikationswege Flexible Arbeitszeiten Gesundheitsmaßnahmen Mobiles Arbeiten International work environment, with high tech professionals and solutions, working with global leaders, being your customers as well as solution providers.A growing company, with great future career opportunities401K and healthcare planMarket conform salary Interessiert?
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services APPLICATION YOU WILL USE •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.
The professional possesses in depth knowledge of the critical stages of semiconductor manufacturing, with a strong focus on wafer test and chip assembly, and maintains a high level understanding of adjacent process stages, including front end wafer fabrication and final test.Degree in Computer Science, Software Engineering, Electrical Engineering or comparable technical fieldStrong IT / software background with understanding of software architecture, data models and interfaces, system integration, industrial software solutions ideally with a background in manufacturing IT or MES environmentsExperience in semiconductor manufacturing, preferably in Wafer Test / Wafer Sort, Assembly, Final TestSolid knowledge of semiconductor data formats and standards such as SEMI E142, SECS/GEM (E5), E183, G85, STDFAbility to analyze complex technical data flows and translate them into software requirementsExperience working at the interface between customers, engineers and software development teamsStrong analytical and structured communication skillsFluent English required, German skills are a plus Gesundheitsmaßnahmen Mitarbeiterrabatte Aus- und Weiterbildung Betriebliche Altersvorsorge Mitarbeiterevents Unbefristete Arbeitsverträge Workation Flache Hierarchien und kurze Kommunikationswege 30 Tage Urlaub sowie anlassbezogener Sonderurlaub Reduzierte Vollzeit In der znt Zentren für Neue Technologien GmbH in Deutschland sowie in Österreich liegen unsere Vollzeitverträge unter 40 Stunden pro Woche.
Development and implementation of integration and verification strategies in line with project planning, with the aim of successfully advancing innovative and intelligent products Definition, further development and continuous optimisation of overarching verification methods based on system requirements and use cases Planning and ensuring all verification activities in terms of schedule, infrastructure, budget and quality standards Coordination, implementation and monitoring of test processes in close cooperation with development departments and verification teams Analysis of test results, risk assessment and derivation of appropriate measures to improve quality Definition of series tests taking into account risk analyses and statistical methods Close cooperation with project managers, development and verification engineers, validation managers and external partners. Completed degree (ETH/university/technical college) in computer science Extensive experience as a test manager and in testing complex, interdisciplinary systems Extensive professional experience in E2E IoT system testing and UI profile testing In-depth knowledge of cloud platforms, device cloud communication, IoT architecture and mobile & apps In-depth knowledge of build, release and DevOps environments as well as test automation.
Your Profile - Qualifications • Bachelor’s/Master’s/PhD in Computer Science, Applied Mathematics, Engineering, or related field. • Strong background in machine learning, deep learning. • Proven experience with 3D graphics, computational geometry (meshes, point clouds, surface reconstruction) or computer vision • Proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch). • Experience with medical imaging data (CT, CBCT, intraoral scans) is a plus. • Full professional proficiency in English is required Preferred Skills • Familiarity with GANs, diffusion models, or neural rendering for material reconstruction. • Familiarity with biomedical applications. • Strong problem-solving skills and ability to work in interdisciplinary teams. • Excellent communication and documentation abilities. • Large language modules (plus) What We Offer • Opportunity to work on cutting-edge applications in digital dentistry and orthodontics. • Collaborative environment with experts in ML, graphics, and healthcare. • Competitive salary and benefits package. • Career growth in a rapidly evolving field.
Kennenlernen und gemeinsames Arbeiten an den unterschiedlichsten Bauprojekten.Planung der Versorgung der Gebäude mit Wärme, Kälte, Luft und Wasser, gemeinsam mit Kollegen / Fachplanern.Erstellung von CAD-Plänen (Computer-Aided-Design) in 2D und in 3D – dabei lernst Du moderne Anwendungsprogramme effizient einzusetzen.Berechnungen und Auswertungen unter Verwendung moderner IT.BIM (Building Information Modeling) wird für Dich nicht nur ein Fremdwort sein.Dokumentation von Kapazitäten und Projektfortschritt mittels neuester Steuerungs-IT.Betrachtung der Umsetzung Deiner Planung auf der Baustelle.Guter Realschulabschluss, Fachhochschulreife oder Abitur.Interesse am computergestützten Arbeiten.Räumliches Vorstellungsvermögen und mathematisches Verständnis.Du hast Spaß daran, Neues zu lernen, zeigst Engagement und scheust dich nicht, Verantwortung zu übernehmen.Wir bieten dir eine spannende Ausbildung in einem modernen, zukunftsorientierten Familienunternehmen, mit vielen Vorteilen: Individuelle und intensive Einarbeitung.Offene Duz-Kultur.Abwechslungsreiche Projekte und Einblicke in viele Bereiche.Modern ausgestatteter Arbeitsplatz mit aktueller Software.Sehr gute Übernahmechancen.Ein freundliches und kollegiales Betriebsklima.Zuschuss HVV-Deutschlandticket, Hansefit-Karte/EGYM Wellpass.Teamevents u.v.m.MIT UNS SIEHT DEINE ZUKUNFT PINCK AUS.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
Qualifications & Skills Strong technical communication skills, with the ability to clearly explain concepts and collaborate effectively with both technical and non‑technical stakeholders Advanced computer proficiency, including MS Office (Word, Excel, Outlook) and demonstrated ability to quickly learn and adopt new software platforms, CRM tools, data systems, or automation technologies 4‑year degree in a technical, business, or related field preferred, but not required Experience troubleshooting basic technical issues and navigating systems, dashboards, or digital workflows Ability to thrive in a fast‑paced, technology‑driven environment, managing multiple priorities while meeting deadlines Self‑starter with strong analytical thinking skills, able to investigate problems, interpret data, and follow established processes to completion with minimal supervision Excellent time management, organization, and multi‑tasking skills, with a proactive approach to solving operational or system‑related challenges Ability to work onsite (8:30am–5:00pm) and collaborate closely with technical and operational teams WÜSTHOF is an equal opportunity employer and we are committed to creating a diverse team.
This appeals to you: Design, develop, and implement embedded software solutions for various microcontrollers and processorsCollaborate with hardware engineers to define software architecture for embedded systems, considering hardware constraintsWrite efficient, reliable code in C, C++, or assembly language for embedded systemsDevelop software for RTOS (Real-Time Operating System) to ensure timely and predictable task executionCreate and optimize drivers for peripherals and interfaces like sensors, actuators, and communication modulesIdentify and resolve issues through debugging and testing to ensure system stability and performanceWork with cross-functional teams, including hardware engineers and quality assurance, to deliver integrated solutionsImplement security measures to protect embedded systems from vulnerabilities and cyber threatsOptimize code and algorithms for resource-constrained environments, considering factors like power consumption and memory usage This is you: Bachelor’s or higher degree in Computer Science, Electrical Engineering, or a related fieldProficiency in programming languages such as C and C++Experience in embedded systems development with knowledge of microcontroller/microprocessor architecturesFamiliarity with real-time operating systems (RTOS) and embedded development toolsKnowledge of communication protocols (e.g., SPI, I2C, UART) and networking protocols is a plusUnderstanding of hardware design principles is advantageousStrong problem-solving skills and attention to detailExcellent communication skills for effective collaboration and documentationIndustry-specific certifications or relevant experience may be preferredGood German and Englisch language skills What we offer: Future prospects in an innovative, growing, and agile companyAn exciting work environment with diverse career opportunitiesCompetitive, industry-standard / above-industry-standard salaryFlexible working hours and the option for remote work30 vacation days per year and special leave for significant occasions when employed at Xtended EngineeringBonus programs for referrals and employee recruitmentTeam events Xtended Engineering GmbH connects skilled engineers with companies in the industrial and commercial sectors.