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Home-Office-Optionen
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- Erdberg
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- Österreich, Steiermark
- Gleisdorf
- Spittal an der Drau
- Knittelfeld
- Parndorf
- Kalkofen, Niederösterreich
- Oberdörfl, Kärnten
- Fehring
- Mürzzuschlag
- Gries, Steiermark
- Friedberg, Steiermark
- Fürnitz
- Pischelsdorf in der Steiermark
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143 Treffer für science-engineering Jobs in Südösterreich im Umkreis von 30 km
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IT Infrastructure & Security Specialist (Focus Linux Server)
IT Infrastructure & Security Specialist (Focus Linux Server)
AT&S Austria Technologie & Systemtechnik AG
Leoben
Degree in IT, Computer Science, or Network Engineering
Degree in IT, Computer Science, or Network Engineering
Bachelor's/Master's degree in Materials Science, Chemical Engineering, Electronics Engineering, Mechanical Engineering, or related fields - You will contribute to innovative packaging technologies by ensuring high process performance, manufacturability, and reliability, while collaborating with multidisciplinary teams across R&D and engineering. * Work closely with cross-functional teams including process, material and reliability engineering to drive technology development and project execution
Bachelor's/Master's degree in Materials Science, Chemical Engineering, Electronics Engineering, Mechanical Engineering, or related fields - You will contribute to innovative packaging technologies by ensuring high process performance, manufacturability, and reliability, while collaborating with multidisciplinary teams across R&D and engineering. * Work closely with cross-functional teams including process, material and reliability engineering to drive technology development and project execution
Bachelor's or Master's degree in Materials Science, Chemical Engineering, Mechanical Engineering, Electronics Engineering, or a related field
Bachelor's or Master's degree in Materials Science, Chemical Engineering, Mechanical Engineering, Electronics Engineering, or a related field
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Manager, Advanced Technologies - Data Science & Equipment Intelligence (all genders)
Manager, Advanced Technologies - Data Science & Equipment Intelligence (all genders)
Lam Research
Villach
Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical discipline. * 8+ years of experience in Data Science, Machine Learning, AI, Analytics, Software Engineering, or Equipment Intelligence, including experience delivering production-grade solutions. * Lead and develop the Advanced Technologies Team, driving innovation in Data Science, Artificial Intelligence, Machine Learning, and Equipment Intelligence including Vision System for semiconductor spin clean tools. Lead cross-functional collaboration with engineering, product management, process engineering, and key account technology teams to identify strategic opportunities and accelerate innovation. * Strong un
Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical discipline. * 8+ years of experience in Data Science, Machine Learning, AI, Analytics, Software Engineering, or Equipment Intelligence, including experience delivering production-grade solutions. * Lead and develop the Advanced Technologies Team, driving innovation in Data Science, Artificial Intelligence, Machine Learning, and Equipment Intelligence including Vision System for semiconductor spin clean tools. Lead cross-functional collaboration with engineering, product management, process engineering, and key account technology teams to identify strategic opportunities and accelerate innovation. * Strong un
NEU
Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 15+ years of related experience or 12+ years with a Master's degree or +8 years with a PhD / MBA or equivalant experience - At Lam Research, we are building the next generation of intelligent IT operations through Agentic AI, platform engineering, and autonomous service management. * Evaluate emerging technologies, frameworks, and vendors in AI, automation, platform engineering, and cloud-native ecosystems. * Drive architecture reviews and technical governance across multiple engineering and operations teams. * 12+ years of experience in enterprise architecture, cloud architecture, platform engineering, or large-scale IT operations. * Experience with automation, observa
Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 15+ years of related experience or 12+ years with a Master's degree or +8 years with a PhD / MBA or equivalant experience - At Lam Research, we are building the next generation of intelligent IT operations through Agentic AI, platform engineering, and autonomous service management. * Evaluate emerging technologies, frameworks, and vendors in AI, automation, platform engineering, and cloud-native ecosystems. * Drive architecture reviews and technical governance across multiple engineering and operations teams. * 12+ years of experience in enterprise architecture, cloud architecture, platform engineering, or large-scale IT operations. * Experience with automation, observa
Minimum of 8 years of related experience with a Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Minimum of 8 years of related experience with a Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring. * Design, develop, and maintain production-grade Python applications, libraries, and data science solutions following established software engineering best practices. * Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or a related field. * Mentor and provide technical guidance on best practices in data science and machine learning. * Contribute to the continuous advancement of data science, artificial intelligence, and Industry 4.0 initiatives within the organization. * Demonstrated ability to perform com
Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring. * Design, develop, and maintain production-grade Python applications, libraries, and data science solutions following established software engineering best practices. * Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or a related field. * Mentor and provide technical guidance on best practices in data science and machine learning. * Contribute to the continuous advancement of data science, artificial intelligence, and Industry 4.0 initiatives within the organization. * Demonstrated ability to perform com
NEU
Bachelor's degree in Computer Science, Software Engineering, Automation, Industrial Engineering, or comparable qualification with at least 3 years of relevant experience
Bachelor's degree in Computer Science, Software Engineering, Automation, Industrial Engineering, or comparable qualification with at least 3 years of relevant experience
Bachelor's degree in Computer Science, Software Engineering, Automation, Industrial Engineering, or a comparable field with at least 3 years of relevant experience
Bachelor's degree in Computer Science, Software Engineering, Automation, Industrial Engineering, or a comparable field with at least 3 years of relevant experience
As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. * MSc in in Chemistry, Materials Science, Chemical Engineering or Physics with with no previous professional experience; or equivalent experience preferably in the field of wet clean/advanced packaging - In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. * Responsible for performing professional process engineering research, development and evaluation in semiconductor environment
As a Process Engineer at Lam, you will operate on cutting-edge technology, harnessing atomic precision, material science, and surface engineering to push technical boundaries. * MSc in in Chemistry, Materials Science, Chemical Engineering or Physics with with no previous professional experience; or equivalent experience preferably in the field of wet clean/advanced packaging - In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. * Responsible for performing professional process engineering research, development and evaluation in semiconductor environment
Bachelor or Master Degree: Statistics/Computer Science/Data Science/ /Industrial Engineering In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. * Comfortable with non-recurrent, high-complexity engineering analyses that drive product decisions
Bachelor or Master Degree: Statistics/Computer Science/Data Science/ /Industrial Engineering In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. * Comfortable with non-recurrent, high-complexity engineering analyses that drive product decisions
Ph.D./MA degree in Materials Science, Chemical Engineering, Chemistry or Physics * Responsible for performing professional process engineering research, development, and evaluation in support of the company's complex semiconductor capital equipment and systems.
Ph.D./MA degree in Materials Science, Chemical Engineering, Chemistry or Physics * Responsible for performing professional process engineering research, development, and evaluation in support of the company's complex semiconductor capital equipment and systems.
Degree in Computer Science, Software Engineering, Information Technology, or a related field. You will ensure high system availability, process automation, and the continuous improvement of engineering and CAM applications. * Knowledge of PE/CAM systems and manufacturing engineering processes is an advantage.
Degree in Computer Science, Software Engineering, Information Technology, or a related field. You will ensure high system availability, process automation, and the continuous improvement of engineering and CAM applications. * Knowledge of PE/CAM systems and manufacturing engineering processes is an advantage.
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Professional experience in Data Science, AI Engineering, Data Engineering or a related technical field, ideally in an industrial environment * Analyzing and exploring new AI use cases together with Manufacturing, Engineering and IT * University degree in Data Science, Computer Science, Physics or a comparable scientific or technical discipline * Practical experience with relevant Data Science, Machine Learning or AI frameworks and libraries, such as Python, PyTorch or TensorFlow
Professional experience in Data Science, AI Engineering, Data Engineering or a related technical field, ideally in an industrial environment * Analyzing and exploring new AI use cases together with Manufacturing, Engineering and IT * University degree in Data Science, Computer Science, Physics or a comparable scientific or technical discipline * Practical experience with relevant Data Science, Machine Learning or AI frameworks and libraries, such as Python, PyTorch or TensorFlow
Bachelor's degree in Business Administration, Information Technology, Computer Science, Data Science, Industrial Engineering, Process Management, Digital Transformation, or a related field.
Bachelor's degree in Business Administration, Information Technology, Computer Science, Data Science, Industrial Engineering, Process Management, Digital Transformation, or a related field.
Engineer R&D - Glass Core PKG - Product and Process Reliability
Engineer R&D - Glass Core PKG - Product and Process Reliability
AT&S Austria Technologie & Systemtechnik AG
Leoben
Bachelor's/Master's in materials science, mechanical engineering, electronics packaging, or related fields - Working closely with material and cross-functional engineering teams, you will contribute to the design, evaluation, and qualification of innovative packaging solutions for advanced semiconductor applications. * 3+ years of experience in reliability engineering, materials reliability, or packaging/ substrate technology development
Bachelor's/Master's in materials science, mechanical engineering, electronics packaging, or related fields - Working closely with material and cross-functional engineering teams, you will contribute to the design, evaluation, and qualification of innovative packaging solutions for advanced semiconductor applications. * 3+ years of experience in reliability engineering, materials reliability, or packaging/ substrate technology development
Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience - As the Platform Engineering Lead, you will build and operate the foundational platform that enables AI agents, automation services, developers, and operations teams to innovate safely and at scale. * Establish platform engineering standards, reusable templates, golden paths, and self-service capabilities. * Drive adoption of cloud-native engineering practices across the organization. * Mentor and build platform engineering excellence. * 10+ years of experience in cloud infrastructure, platform engineering, DevOps, or software engineering. * Strong troubleshooting and systems engineering skills. * Platform Engineering * Infrastructure Engineering * Reliabi
Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience - As the Platform Engineering Lead, you will build and operate the foundational platform that enables AI agents, automation services, developers, and operations teams to innovate safely and at scale. * Establish platform engineering standards, reusable templates, golden paths, and self-service capabilities. * Drive adoption of cloud-native engineering practices across the organization. * Mentor and build platform engineering excellence. * 10+ years of experience in cloud infrastructure, platform engineering, DevOps, or software engineering. * Strong troubleshooting and systems engineering skills. * Platform Engineering * Infrastructure Engineering * Reliabi
Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience * Partner with SRE, platform engineering, cybersecurity, and service operations teams to identify key operational signals. * Establish telemetry standards and observability engineering best practices. * Observability Engineering
Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of related experience or 8+ years with a Master's degree or +5 years with a PhD or equivalant experience * Partner with SRE, platform engineering, cybersecurity, and service operations teams to identify key operational signals. * Establish telemetry standards and observability engineering best practices. * Observability Engineering
Master's degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 2+ years of experience. * Independently design and conduct experiments, developing tailored analytical methodologies, supporting product development's engineering testing. * Support the development of the site's metrology roadmap, identifying current gaps through the cooperation with the engineering teams, align on the future technical requirements, and setup the implementation strategies. * Engage with analytical laboratories and wafers suppliers to extend the available engineering testing offer.
Master's degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 2+ years of experience. * Independently design and conduct experiments, developing tailored analytical methodologies, supporting product development's engineering testing. * Support the development of the site's metrology roadmap, identifying current gaps through the cooperation with the engineering teams, align on the future technical requirements, and setup the implementation strategies. * Engage with analytical laboratories and wafers suppliers to extend the available engineering testing offer.
Noch nichts dabei? Es gibt 124 weitere Jobs, die zu deiner Suche passen könnten
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Schnelle Bewerbung
Als erfolgreiche Spezialisten in den Bereichen IT und Engineering entwickeln wir hochwertige Lösungen für Kunden aus den unterschiedlichsten Branchen in Österreich. * Du leitest anspruchsvolle Projekte im Bereich Life Science von der Planung bis zur erfolgreichen Inbetriebnahme.
Als erfolgreiche Spezialisten in den Bereichen IT und Engineering entwickeln wir hochwertige Lösungen für Kunden aus den unterschiedlichsten Branchen in Österreich. * Du leitest anspruchsvolle Projekte im Bereich Life Science von der Planung bis zur erfolgreichen Inbetriebnahme.
Technical education (HTL, University of Applied Sciences, University) in Mechanical Engineering, Electrical Engineering, Mechatronics, Automation Engineering or a comparable qualification - To enhance our Maintenance Engineering Team at the Headquarters in Leoben, we are looking for a passionate
Technical education (HTL, University of Applied Sciences, University) in Mechanical Engineering, Electrical Engineering, Mechatronics, Automation Engineering or a comparable qualification - To enhance our Maintenance Engineering Team at the Headquarters in Leoben, we are looking for a passionate
University degree in a technical or scientific discipline (e.g., Materials Science, Physics, Chemistry, Electrical Engineering) or equivalent professional experience
University degree in a technical or scientific discipline (e.g., Materials Science, Physics, Chemistry, Electrical Engineering) or equivalent professional experience
Successfully completed degree (Master) in engineering or natural sciences or equivalent industry experience
Successfully completed degree (Master) in engineering or natural sciences or equivalent industry experience
Align business, IT, OT, security, and engineering stakeholders. * Degree in Computer Science, Information Technology, or a related discipline.
Align business, IT, OT, security, and engineering stakeholders. * Degree in Computer Science, Information Technology, or a related discipline.
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Schnelle Bewerbung
Building on our long-standing expertise in advanced production technologies, Rosendahl Nextrom is expanding into AI-driven robotics with a forward-thinking research and engineering team dedicated to developing adaptive industrial robots—an advancement that will transform industrial automation, manufacturing, logistics, and beyond. * Master's or PhD in Robotics, Computer Science, Machine Learning, or a related field. * This is a startup-like environment within a well-established global engineering company - ideal for engineers who want autonomy, innovation, and impact.
Building on our long-standing expertise in advanced production technologies, Rosendahl Nextrom is expanding into AI-driven robotics with a forward-thinking research and engineering team dedicated to developing adaptive industrial robots—an advancement that will transform industrial automation, manufacturing, logistics, and beyond. * Master's or PhD in Robotics, Computer Science, Machine Learning, or a related field. * This is a startup-like environment within a well-established global engineering company - ideal for engineers who want autonomy, innovation, and impact.
Beliebte Jobs
Standorte
- Graz
- Villach
- Klagenfurt
- Leoben, Steiermark
- Premstätten bei Vasoldsberg
- Erdberg
- Kapfenberg
- Österreich, Steiermark
- Gleisdorf
- Spittal an der Drau
- Knittelfeld
- Parndorf
- Kalkofen, Niederösterreich
- Oberdörfl, Kärnten
- Fehring
- Mürzzuschlag
- Gries, Steiermark
- Friedberg, Steiermark
- Fürnitz
- Pischelsdorf in der Steiermark
- Österreichweit
- Südösterreich
- Steiermark
- Kärnten
- Burgenland