Senior Environmental Engineer to provide program management, technical support, and coordination for NATO, DEA, and IMO related activities supporting the Naval Surface Warfare Center, Carderock Division.
Locations (2)
Bethesda, Maryland, United States
Washington, District of Columbia, United States
Compensation
USD $86,800.00 - USD $135,625.00 /Yr.
Responsibilities
Provide program management services, technical support, and assistance in program coordination within and outside the Navy for NATO, DEA, and IMO
Perform legislative reviews, rulemaking, and international treaty reviews
Assist in review and development of associated documentation
Coordinate review activities with NAVSEA, Navy Headquarters, and other military services/agencies
Monitor and assess proposed changes to international treaties and conventions for potential Navy impact
Provide clinical and technical expertise to support Sales and Services engagements for the Baxter Care Communications product portfolio of Digital Health products.
Compensation
This position has a base salary range of $72,000 to $99,000 plus an annual incentive bonus.
Responsibilities
Collaborate with team members to architect accurate clinical assessment documents for customer-facing integration, alarm management middleware, and nurse call engagements
Consult on and configure alarm management middleware settings and nurse call configurations based on the clinical design workbook
Manage multiple, simultaneous projects from assessment through implementation for clinical integration consulting programs
Interface at all levels within a customer's organization and coordinate technical information and healthcare ecosystem requirements
Assist other team members with tasks required to execute delivery of clinical integration consulting programs
Requirements
Degree/certification in Business, IT, Project Management, Clinical Informatics, or related experience
Nice to have: Clinical experience in acute care hospital environment
Senior technical expert responsible for designing, deploying and scaling digital solutions such as Physical AI, Computer Vision, Digital Twins, Agentic AI, Robotics and advanced automation across manufacturing operations.
Locations (2)
Ljubljana, Ljubljana, Slovenia
Barcelona, Catalonia, Spain
Compensation
€46,550.00 - €86,450.00
Responsibilities
Support the design and deployment of Physical AI, Computer Vision, Digital Twin, Agentic AI, Robotics and Automation solutions across Manufacturing Operations.
Partner directly with manufacturing sites to identify and shape high-value use cases that improve productivity, quality, compliance and operational performance.
Support the development of Digital Twin models and simulation capabilities to optimise manufacturing operations and shape Digital Twin, Computer Vision and Physical AI use cases across manufacturing platforms.
Translate site-specific operational challenges into scalable and reusable technology solutions, enterprise models, frameworks and deployment blueprints.
Support multiple efforts and address complex technical problems, providing innovative solutions to assist the Customer in making informed decisions related to requirements and development activities.
Compensation
Min: $135,035.83
Max: $234,801.11
Responsibilities
Manage in-depth investigations of new technologies or products to determine whether the product offerings present new capabilities or fill technological gaps in the Customer's environment.
Actively participate in the identification and triage of new, often bespoke, technologies to determine the most appropriate evaluation methods.
Evaluate products and technologies identified as having merit for inclusion in future device creation.
Develop realistic timelines, costs, and tracking mechanisms for active projects.
Design interfaces and bring system elements together cohesively.
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or related scientific or technical disciplines
Define Trusted Content Applications & Software leveraging Logix Designer, View Studio, View Designer, Optix Studio, Future Rockwell IDE and other Automation centric tools
Define and optimize Libraries that support creation of applications and software in Rockwell Automation's Automation Development Environments
Participate, keep informed, and drive awareness in Rockwell Automation around the evolution of Industry Standards that support Trusted Content
Support Development and Prioritization of Firmware and Software functions supporting Trusted Content application integration in controllers, drives, and other products
Help define Digital Engineering Strategies (Digital Twins, Automated Code, and Automated Library creation principles) that assist Development of Automotive Applications
Requirements
Bachelor's degree in engineering, computer science, or related field or equivalent
Nice to have: 10+ years of industry experience
Nice to have: Experience developing software applications for industrial automation
Nice to have: Experience with maintaining specifications and standards
Nice to have: Experience with leveraging and implementing AI workflows
Lead the implementation and evolution of ESB’s enterprise data management framework, driving data governance, quality, and AI readiness across the organisation.
Compensation
€71,900 - €84,600 per annum, depending on experience.
Responsibilities
Lead the implementation and continual evolution of ESB’s enterprise data management framework, operating model, standards and governance practices to support strategic business, analytics and AI objectives.
Establish and embed accountability for data across the organisation by driving the adoption of data domain ownership, stewardship and decision-making responsibilities within business areas.
Define and oversee the roadmap for data quality, metadata, classification, lineage and lifecycle management, ensuring consistent adoption of enterprise standards and controls.
Partner with business leaders to identify, prioritise and improve critical data domains and data products, enabling trusted data for operational, regulatory and strategic decision-making.
Provide leadership, direction and resource management for data management initiatives and capabilities, ensuring the effective allocation of people, skills, tools and third-party support to deliver agreed outcomes.
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