91 English-speaking jobs in Upper Austria

Experienced leader sought to manage Quality Management, Quality Assurance, Manufacturing, and Operations functions. Develop and execute strategy, lead teams, and drive performance improvement initiatives.

Senior Engineer will own the path of telemetry from AI workloads into Dynatrace. Responsibilities include building and maintaining the ingest path for OpenTelemetry traces, metrics, and logs from GenAI applications, agents, and frameworks. The role also involves testing and supporting integrations across the AI SDLC, partnering with the OneAgent team, and pushing GenAI semantic conventions forward.

SAP Inhouse Consultant leading the conception, customization, and implementation of companywide SAP processes. Close collaboration with Business Process Owners and key users, including training. 2nd and 3rd level support for international SAP key users. Ensures seamless integration of SAP PP with other modules.

SAP Inhouse Consultant leading the conception, customization, and implementation of companywide SAP processes. Collaborates with Business Process Owners, provides 2nd/3rd level support, and ensures seamless integration with other modules. Requires several years of SAP consulting experience, advanced PP customizing knowledge, ABAP debugging skills, and project management abilities.

The HR Business Partner Operations supports BRP-Rotax business units with a focus on operations, aligning workforce needs with business objectives. The role provides HR guidance on topics such as workforce planning, performance management, employee relations, and labor law compliance.

Designs, implements, and deploys machine learning and deep learning models for real-world applications. Owns the end-to-end machine learning lifecycle, from data exploration to production deployment. Establishes MLOps practices and collaborates with cross-functional teams to integrate AI solutions.

Leads the Divisional OpEx team, implementing the global OpEx strategy and driving performance improvement across sites. Requires 8+ years of experience in Operational Excellence, Lean Management, or Industrial Performance with proven leadership in complex organizations.

Platform Performance Engineers with an AI-first mindset partner with engineering teams to monitor, analyze, and optimize performance across complex distributed systems. They leverage AI tools and agent-based workflows to accelerate root cause analysis, identify patterns, and reduce manual toil.

Design, develop, and maintain high-performance Go-based backend services for a multi-tenant AI agent platform. Own platform identity and access, including authentication, session/token lifecycle, and secure credential granting. Enforce multi-tenant data isolation and harden the platform against web vulnerabilities and AI-specific threats.

Lead a full-stack agile team, ensuring high code quality and reliable delivery. Provide technical guidance, support sprint execution, and mentor team members.

Design and build evaluation and simulation capabilities for AI agents at Dynatrace. Responsibilities include defining metrics, datasets, and judging strategies, building infrastructure for agent simulations, and developing developer-facing CLIs for AI Observability data.

Provides technical support for Energy Management Systems, resolving customer inquiries and incidents. Configures, maintains, and monitors systems, ensuring reliable operation. Collaborates with Engineering, Sales, and Development teams to improve products and services.

Provides technical support for Energy Management Systems, resolving customer inquiries and incidents. Configures, maintains, and monitors systems, ensuring reliable operation. Collaborates with Engineering, Sales, and Development teams to improve products and services.

Provides technical support for Energy Management Systems, resolving customer inquiries and incidents. Configures, maintains, and monitors systems, ensuring reliable operation. Collaborates with Engineering, Sales, and Development teams to improve products and services.

Provides technical support for Energy Management Systems, resolving customer inquiries and incidents. Configures, maintains, and monitors systems, ensuring reliable operation. Collaborates with Engineering, Sales, and Development teams to improve products and services.

PALFINGER seeks a Shopfloor Intralogistics Expert to optimize and digitalize intralogistics processes, tools, and systems across global production. Responsibilities include developing standardized processes, evaluating innovative technologies, and supporting global rollouts of digital solutions.

Build and improve machine learning models to drive personalization and customer insights. Develop AI-driven features, integrate large language models, and design experiments to measure AI impact.

Support the Digital Manufacturing team in developing and implementing digital solutions across PALFINGER's global production network. Responsibilities include requirements engineering, lowcode application development, and research of emerging technologies.

Senior AI Engineer will act as the interface between technical teams and AI suppliers, translating engineering needs into AI project requirements. Responsibilities include data pipeline oversight, project management, quality assurance, and change management. Requires a technical education with a focus on automotive, mechanical, or electrical engineering with a focus on computer sciences, data science/AI, mechatronics, or machine learning, and a minimum of 5 years of experience in data engineering, AI/ML project coordination, telemetry analysis, and AI expertise.

As an AI Engineer, you will design and implement machine learning models for trackside servers and edge-computing devices. You will develop predictive AI tools for tire degradation, fuel consumption, and pit window optimization, as well as create AI algorithms to optimize traction control, wheelie control, and engine braking strategies. You will also build predictive models to synthesize data from the testing team and develop deep learning models to predict asymmetric tire degradation.