Urwah Admin

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 Job Purpose
 
 
 
 
 
 
 The University Registrar provides strategic leadership and oversight of all academic records, registration, and student lifecycle management functions at KAUST. Reporting to the Associate Vice President, Students, the Registrar ensures seamless coordination across the University&rsquo;s four academic Divisions and KAUST Academy, as well as with key administrative units supporting the student journey.
 
 
 
 
 
 The Registrar leads the modernization and continuous improvement of academic operations, ensuring alignment with the University&rsquo;s goals for excellence in education, research, and student experience. The role collaborates closely with the Head of Academic Excellence and Quality Assurance to ensure compliance with accreditation standards, data integrity, and academic policy coherence.
 
 
 
 
 
 
 Major Accountabilities
 
 
 
 
 
 
 
 Strategic Leadership:
 
 Provide vision and direction for the Registrar&rsquo;s Office to deliver a student-centered, efficient, and compliant academic services environment.
 
 
 
 
 
 
 Digital Transformation:
 
 Working with the centralized Provost Systems Team, support the digitalization of Registrar functions and academic information systems, ensuring integration across all student touch-points from Admissions through Alumni.
 
 
 
 
 
 
 Collaboration and Alignment:
 
 
 <ul>
 <li>
 Work closely with Admissions, Graduate Operations, Alumni Affairs, and KAUST Academy to ensure consistency and accuracy of student records and processes across the full student lifecycle.
 </li>
 <li>
 Partner with the Head of Academic Excellence and Quality Assurance to support institutional accreditation and academic program reviews.
 </li>
 <li>
 Liaise with the Deans, Associate Deans and Graduate Program Student Advisors (GPSAs) across the four academic Divisions to uphold academic standards, student success, and process efficiency.
 </li>
 </ul>
 
 
 
 
 
 Policy and Compliance:
 
 Develop and enforce academic and administrative policies related to registration, records management, graduation, and academic standing.
 
 
 
 
 
 
 Operational Oversight:
 
 
 <ul>
 <li>
 Manage class scheduling, instructional space assignments and certification of graduation transcripts.
 </li>
 <li>
 Ensure compliance with national and international data privacy and academic integrity requirements.
 </li>
 </ul>
 
 
 
 
 
 Academic Information Management:
 
 Oversee the preparation and publication of key academic documents such as the Program Guide, Course Catalogue, Academic Calendar and other official materials.
 
 
 
 
 
 
 
 
 Quality Assurance and Accreditation Support:
 
 
 <ul>
 <li>
 Working with the Head, Academic Excellence and Quality Assurance, ensure Registrar functions provide accurate, auditable data for internal and external accreditation bodies.
 </li>
 <li>
 Contribute to institutional self-studies, program reviews, and performance reporting.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Engagement:
 
 Serve on institutional committees and task forces related to student success, academic policy, and digital systems integration.
 
 
 
 
 
 
 Continuous Improvement:
 
 Identify systemic process enhancements to improve efficiency, service quality, and the student experience.
 
 
 
 
 
 
 Competencies
 
 
 
 
 
 <ul>
 <li>
 Demonstrated experience in leading Registrar operations within a graduate-level, STEM-focused, research-intensive university.
 </li>
 <li>
 Proven track record of digital transformation in academic administration.
 </li>
 <li>
 Strong understanding of the student lifecycle from Admissions through Graduation and Alumni engagement.
 </li>
 <li>
 Experience collaborating with Quality Assurance and Accreditation units to support institutional accreditation and compliance.
 </li>
 <li>
 Excellent relationship management and communication skills across diverse academic and administrative units.
 </li>
 <li>
 Strategic leadership, project management, and team supervision capabilities.
 </li>
 <li>
 Deep understanding of academic policies, records management, data governance, and confidentiality standards.
 </li>
 <li>
 Commitment to student experience, service excellence, and institutional integrity.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required; Master&rsquo;s or relevant postgraduate qualification strongly preferred.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 
 
 
 <ul>
 <li>
 Minimum 10&ndash;15 years of experience in Registrar leadership or equivalent higher education administration roles, with substantial exposure to academic systems, policy, and accreditation processes.
 </li>
 </ul>
</div>

University Registrar

<div>
 
 
 IP Administrator (Intellectual Property), Technology Transfer &amp; Innovation Office
 
 
 
 
 
 
 
 Research Translation Hub - Technology Transfer &amp; Innovation Office (TTIO)
 
 
 
 
 
 
 
 Position Summary
 
 
 
 The IP Administrator supports the IP Strategy Team in the effective administration of KAUST&rsquo;s intellectual property portfolio. The role is responsible for maintaining patent and finance systems, supporting compliance activities, coordinating with internal and external stakeholders, and providing analytical support as required. The IP Administrator works under the day-to-day supervision of an IP Manager and collaborates with other members of the IP Strategy Team to ensure efficient, accurate, and timely management of IP-related processes.
 
 
 
 
 
 
 Major Responsibilities
 
 
 
 
 Patent Systems
 
 
 <ul>
 <li>
 Maintain KAUST&rsquo;s IP database with a high level of accuracy and diligence.
 </li>
 <li>
 Track patent and fee deadlines through the preparation and maintenance of tracking tools and reports that support portfolio management.
 </li>
 <li>
 Assist in coordinating the finalization, execution, and submission of documents from external attorneys to ensure patent deadlines are met.
 </li>
 <li>
 Liaise with KAUST Government Affairs, researchers, and external attorneys to facilitate timely processing and submission of documentation.
 </li>
 <li>
 Coordinate the payment of required patent fees and related expenses in accordance with established processes.
 </li>
 <li>
 Ensure that communications from patent offices and external attorneys are circulated to the appropriate IP Strategy Team members.
 </li>
 <li>
 Act as a point of contact with external attorneys and service providers regarding patent administration matters.
 </li>
 </ul>
 
 
 
 
 
 
 Finance Systems
 
 
 <ul>
 <li>
 Monitor the TTIO Finance email account and respond to inquiries and requests in a timely and professional manner.
 </li>
 <li>
 Work with members of the IP Strategy Team to review and validate invoices from external attorneys and service providers prior to approval.
 </li>
 <li>
 Coordinate with NTI Finance to ensure payments are processed efficiently.
 </li>
 <li>
 Maintain accurate and up-to-date financial records within KAUST&rsquo;s IP systems and database.
 </li>
 <li>
 Engage with external stakeholders, including patent co-owners and licensees, to ensure invoices received are appropriate and paid promptly.
 </li>
 </ul>
 
 
 
 
 
 Compliance
 
 
 <ul>
 <li>
 Monitor the TTIO Compliance email account and ensure timely follow-up on related matters.
 </li>
 <li>
 Work with KAUST&rsquo;s external service providers and back-office teams to ensure the IP database accurately reflects the status, obligations, and terms of IP agreements.
 </li>
 <li>
 Coordinate with NTI Finance to prepare and process invoice requests for payments due to KAUST.
 </li>
 <li>
 Support compliance with internal policies and external regulatory or contractual obligations related to IP management.
 </li>
 </ul>
 
 
 
 
 
 Analysis
 
 
 <ul>
 <li>
 Prepare and provide reports, data summaries, and analysis as requested by TTIO leadership.
 </li>
 <li>
 Support informed decision-making through accurate and timely information management.
 </li>
 </ul>
 
 
 
 
 
 Being Part of the TTIO
 
 
 <ul>
 <li>
 Demonstrate commitment to the values of TTIO and KAUST.
 </li>
 <li>
 Carry out additional duties and related tasks as directed by TTIO leadership.
 </li>
 </ul>
 
 
 
 
 
 Personal Requirements
 
 
 
 
 
 
 
 Competencies
 
 
 <ul>
 <li>
 Ability to work effectively under the guidance of senior members of the IP Strategy Team.
 </li>
 <li>
 Familiarity with handling documents, managing deadlines, and maintaining professional communications.
 </li>
 <li>
 Demonstrate an efficient, effective, and transparent approach to work.
 </li>
 <li>
 Proactive and responsive in engagement with colleagues and stakeholders.
 </li>
 <li>
 Strong team player with a collaborative and service-oriented mindset.
 </li>
 <li>
 Commitment to continual improvement and learning.
 </li>
 <li>
 Strong verbal and written communication skills, with the ability to communicate clearly, concisely, respectfully, and professionally.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business administration, Law, Legal Studies, Finance, Management, or a related field.
 </li>
 <li>
 Additional training or certification in Intellectual Property administration or legal support is desirable.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 A minimum of 4 years of relevant work experience.
 </li>
 <li>
 Understanding of intellectual property laws and practice in Saudi Arabia or other jurisdictions is desirable.
 </li>
 <li>
 Experience in administrative coordination and working with multiple internal and external stakeholders.
 </li>
 </ul>
 
 
</div>

Intellectual Property Administrator, Technology Transfer & Innovation Office

<div>
 
 
 Staff Scientist, Nanofabrication Process - Nanofabrication Core Lab
 
 
 
 
 
 
 
 Position Summary
 
 
 
 KAUST Nanofabrication Core Lab is a multidisciplinary laboratory supporting research in Micro- and Nanofabrication and Microfluidics. The individual will support research at KAUST and regionally by providing expertise and support to staff, students, researchers and external users of the cleanroom. The individual will work with a team of scientists and engineers and specialists to help ensure an uninterrupted, high standard of experimental research. In addition, the individual is expected to fulfil a multitude of laboratory and university-related tasks.
 
 
 
 
 
 
 Major Responsibilities
 
 
 <ul>
 <li>
 Responsible for multi-tube furnace systems and processes (LPCVD polysilicon and silicon nitride, Diffusion wet/dry oxidation) and rapid thermal annealing systems and processes.
 </li>
 <li>
 Work in a team to deliver the highest level of service to maximize thermal process equipment up time, minimize maintenance costs and meet KPI targets.
 </li>
 <li>
 Respond quickly to maintenance, calibration, process and trouble-shooting requests.
 </li>
 <li>
 Develop new processes and assist with research projects
 </li>
 <li>
 Provide training to staff, researchers, students and external users.
 </li>
 <li>
 Complete assigned work at the highest possible level of quality and in a timely manner.
 </li>
 <li>
 Coordinate with other tool owners to schedule equipment maintenance and other services.
 </li>
 <li>
 Coordinate with vendors and team members to ensure proper repair and maintenance of equipment.
 </li>
 <li>
 Identify required spare parts and facilitate the ordering process.
 </li>
 <li>
 Provide sufficiently detailed, frequent and easy to understand communications to team lead
 </li>
 <li>
 Maintain service reports to record all service-related activities.
 </li>
 <li>
 Complete assigned requests for service (RFS) on time, communicating effectively with requesters and Team lead.
 </li>
 <li>
 Help document procedures for equipment operation, maintaining and reviewing regularly the standard operating procedures (SOP) and risk assessments.
 </li>
 <li>
 Optimize and maintain standard processes, monitoring them regularly and recording data.
 </li>
 <li>
 Assist team lead in writing specifications for new equipment and assist users and staff to commission new installations and develop new processes.
 </li>
 <li>
 Ensure good laboratory practice and highlight non-compliance of laboratory policy and rules.
 </li>
 <li>
 Identify areas for improvement in lab operations and suggest solutions.
 </li>
 <li>
 Perform routine laboratory duties and maintenance, including administrative, procurement, service on task forces and committees.
 </li>
 <li>
 Other duties as assigned by the team lead and lab director.
 </li>
 </ul>
 
 
 
 
 
 Personal Requirements
 
 
 
 
 
 
 
 Competencies
 
 
 <ul>
 <li>
 Strong Experience in maintaining and developing thermal processes such as LPCVD, oxidation, diffusion and annealing in silicon and compound semiconductor-based wafer processes.
 </li>
 <li>
 Knowledge of processing semiconductor materials
 </li>
 <li>
 Excellent process trouble-shooting skills and demonstrable semiconductor based thermal processing/furnace equipment knowledge
 </li>
 <li>
 Experience and knowledge of using thin films imaging and characterization tools, including techniques such as spectroscopic ellipsometry and optical or stylus surface profiling, optical microscopy, film stress measurements, atomic force microscopy, and scanning electron microscopy.
 </li>
 <li>
 Strong experience and knowledge of cleanroom environments, standards and procedures.
 </li>
 <li>
 Good knowledge of advances in the field of research and potential vendors, to be able to advise on equipment specifications, replacement and upgrades.
 </li>
 <li>
 Experience and practical knowledge of handling, installing and storing hazardous substances, risk assessing tools, processes and maintenance tasks.
 </li>
 <li>
 Experience in managing material and chemical inventories.
 </li>
 <li>
 Knowledge of safety protocols for use of gases, hazardous substances and high vacuum and high temperature equipment and processes.
 </li>
 <li>
 Efficiently manage a variety of tasks independently.
 </li>
 <li>
 Customer focused attitude.
 </li>
 <li>
 Excellent problem solving and analytical skills. The individual should be able to conduct complicated equipment trouble shooting through applying theoretical principles and is able to work collaboratively with factory service experts when needed.
 </li>
 <li>
 Ability to work effectively and efficiently in a diverse, multi-cultural environment
 </li>
 <li>
 Collaborate with team members, lab users, and external service providers.
 </li>
 <li>
 Excellent written and oral communication skills.
 </li>
 <li>
 Strong planning and organizational skills.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 A PhD degree in a relevant scientific/engineering field (minimum requirement).
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 At least 5 additional years of semiconductor or micro/nano- fabrication experience in a cleanroom environment with demonstrable experience in using and maintaining LPCVD high temperature thermal furnaces/systems and deposition systems.
 </li>
 <li>
 Knowledge and experience using statistical process control (SPC) is preferable
 </li>
 </ul>
 
 
</div>

Staff Scientist Nanofabrication

<div>
 
 
 About the Role
 
 
 
 
 
 
 The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps infrastructure, container orchestration, and workflow automation at a supercomputing scale.
 
 
 This role is responsible for developing and maintaining secure, OCI-compliant container images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 MLOps and Container Development
 
 
 <ul>
 <li>
 Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries.
 </li>
 <li>
 Maintain high customer service standards in dealing with and responding to user issues and questions.
 </li>
 <li>
 Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container images.
 </li>
 <li>
 Design and implement robust MLOps workflows and pipelines at supercomputing scale.
 </li>
 <li>
 Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment.
 </li>
 <li>
 Design and deploy APIs for AI/ML services and inference endpoints.
 </li>
 <li>
 Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh configurations and optimization.
 </li>
 <li>
 Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry).
 </li>
 </ul>
 
 
 
 
 
 Governance and Compliance Support
 
 
 <ul>
 <li>
 Assist in computational readiness reviews for AI research projects.
 </li>
 <li>
 Assist in AI model and artifact control reviews to ensure compliance with institutional standards.
 </li>
 <li>
 Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows.
 </li>
 <li>
 Ensure container images and workflows comply with security policies and best practices.
 </li>
 <li>
 Support the implementation of usage monitoring and reporting systems.
 </li>
 </ul>
 
 
 
 
 
 Performance and Benchmarking
 
 
 <ul>
 <li>
 Perform performance debugging and tuning of MLOps and cloud-native workflows.
 </li>
 <li>
 Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems.
 </li>
 <li>
 Create and maintain regression testing workloads for existing clusters.
 </li>
 <li>
 Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA DCGM, and Grafana Loki.
 </li>
 <li>
 Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.
 </li>
 </ul>
 
 
 
 
 
 Training and Documentation
 
 
 <ul>
 <li>
 Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization.
 </li>
 <li>
 Develop and maintain high-quality user documentation for automation tools and workflows.
 </li>
 <li>
 Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices.
 </li>
 <li>
 Contribute to knowledge transfer initiatives within the KAUST research community.
 </li>
 <li>
 Provide one-on-one consultation to researchers on efficient use of automation infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform Engineer) are highly valued.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Demonstrated experience developing robust and complex MLOps pipelines.
 </li>
 <li>
 Hands-on experience with API design and deployment.
 </li>
 <li>
 Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow deployment.
 </li>
 <li>
 Experience supporting researchers or working in academic/research computing settings preferred.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills - Essential
 
 
 <ul>
 <li>
 Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage Interface (CSI), and Service Mesh.
 </li>
 <li>
 MLOps: Experience developing and maintaining MLOps pipelines and workflows.
 </li>
 <li>
 CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment.
 </li>
 <li>
 Containerization: Experience building secure, OCI-compliant container images.
 </li>
 <li>
 API Development: Experience in API design, development, and deployment.
 </li>
 <li>
 Programming: Proficiency in Python; experience with Go, Bash scripting.
 </li>
 <li>
 Linux: Strong Linux/Unix systems administration skills.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills - Desired
 
 
 <ul>
 <li>
 Experience with ArgoCD, Airflow, DASK, Spark for workflow orchestration.
 </li>
 <li>
 Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines.
 </li>
 <li>
 Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana Loki).
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and agentic frameworks.
 </li>
 <li>
 Experience deploying inference services at scale.
 </li>
 <li>
 Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry, Artifact Hub).
 </li>
 <li>
 Experience with GitOps practices and Infrastructure as Code (Terraform, Ansible).
 </li>
 <li>
 Experience with HPC schedulers (SLURM) and HPC-cloud integration.
 </li>
 </ul>
 
 
</div>

AI/ML Support Automation Analyst

<div>
 
 
 The Role
 
 
 
 
 
 
 The Senior AI/ML Support Specialist will provide expert technical support and enablement services for AI research computing at KAUST's world-class supercomputing facility (KSL). Working under the AI/ML Support Team Lead, this role focuses on hands-on technical implementation, user support, and optimization of AI workflows on KSL's infrastructure. The scientist will serve as a technical expert helping researchers effectively utilize thousands of GPUs for distributed AI training, while ensuring compliance with governance and security requirements. A key aspect of this role involves the review and implementation of secure and compliant artifact creation and maintenance for AI, including models, software, datasets, and pipelines. Senior candidates should initiate and autonomously work on operational and/or scientific impact project(s) in collaboration with KAUST faculty members or with teams in the lab or other core labs, in the framework of method development projects impacting a wide range of research groups by proposing new added-value services within the lab.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 Technical Implementation and Support
 
 
 <ul>
 <li>
 Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries.
 </li>
 <li>
 Maintain high customer service standards in dealing with and responding to user issues and questions.
 </li>
 <li>
 Install, configure, and maintain AI/ML software packages on HPC systems, ensuring secure, compliant, and performant deployments.
 </li>
 <li>
 Provide expert technical support for distributed training on GPUs using frameworks like DeepSpeed, PyTorch Lightning, NVIDIA Nemo, and PyTorch FSDP.
 </li>
 <li>
 Debug and optimize performance issues in AI workloads, including communication bottlenecks and I/O optimization.
 </li>
 <li>
 Develop and maintain complex SLURM workflows for multi-node, multi-GPU training jobs.
 </li>
 <li>
 Assist researchers with hyperparameter optimization and distributed data analytics implementations.
 </li>
 <li>
 Support users in building efficient OCI-compliant and HPC-ready containers using Singularity and Podman for AI workloads.
 </li>
 <li>
 Troubleshoot issues with NCCL, MPI, and other communication libraries for GPU clusters.
 </li>
 </ul>
 
 
 
 
 
 Governance and Compliance Support
 
 
 <ul>
 <li>
 Execute AI artifact control reviews for software packages, models, and datasets.
 </li>
 <li>
 Perform computational readiness reviews for AI project proposals.
 </li>
 <li>
 Inspect security vulnerabilities in AI software, models, and datasets using tools like JFrog, Nexus, Trivy, Snyk, or similar.
 </li>
 <li>
 Support the implementation of usage monitoring and reporting systems for audit compliance.
 </li>
 <li>
 Maintain documentation of control processes and security procedures.
 </li>
 <li>
 Ensure user workflows comply with KSL security policies and best practices.
 </li>
 </ul>
 
 
 
 
 
 AI Infrastructure Development
 
 
 <ul>
 <li>
 Develop and maintain AI/ML benchmarks for system performance evaluation and regression testing.
 </li>
 <li>
 Build and maintain automated testing for continuous validation of HPC systems hosting AI workload after maintenance events (regression testing).
 </li>
 <li>
 Create tools and scripts to simplify researcher workflows and improve productivity.
 </li>
 <li>
 Contribute to the development of AI-enabled monitoring tools for anomaly detection in datasets and resource utilization.
 </li>
 <li>
 Implement solutions for efficient data movement and optimization on high performance storage (Lustre, Weka IO, Object stores).
 </li>
 <li>
 Develop CI/CD pipelines for reproducible AI workflows using GitLab, Argo, Tekton, etc.
 </li>
 <li>
 Support MLOps initiatives, including experiment tracking, model versioning, and deployment pipelines.
 </li>
 </ul>
 
 
 
 
 
 User Training and Documentation
 
 
 <ul>
 <li>
 Deliver technical training sessions on distributed AI training, containerization, and HPC best practices.
 </li>
 <li>
 Create and maintain technical documentation, tutorials, and best practice guides.
 </li>
 <li>
 Provide one-on-one consultation to researchers on efficient use of computational and storage resources.
 </li>
 <li>
 Develop training materials for new AI frameworks and tools as they are deployed.
 </li>
 <li>
 Support the Team Lead in workshop preparation and delivery.
 </li>
 <li>
 Contribute to knowledge base articles and FAQ documentation.
 </li>
 </ul>
 
 
 
 
 
 Technology Evaluation and Testing
 
 
 <ul>
 <li>
 Test and evaluate new AI frameworks, libraries, and tools for potential deployment.
 </li>
 <li>
 Conduct feasibility studies for emerging technologies relevant to AI workloads.
 </li>
 <li>
 Perform benchmarking of new hardware and software configurations.
 </li>
 <li>
 Support acceptance testing for new systems and upgrades.
 </li>
 <li>
 Provide technical input for procurement decisions based on user needs.
 </li>
 <li>
 Participate in proof-of-concept projects for innovative AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Strong academic foundation in machine learning, deep learning, and AI fundamentals.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 8 years of experience in HPC environments, AI/ML support, or related technical field.
 </li>
 <li>
 Proven experience with large-scale multi-GPU and multi-node distributed training.
 </li>
 <li>
 Hands-on experience with AI/ML frameworks in production HPC environments.
 </li>
 <li>
 Experience supporting researchers or working in academic/research computing settings.
 </li>
 <li>
 Programming: Proficiency in Python; experience with R, Julia, or C++ is a plus.
 </li>
 <li>
 AI/ML Frameworks: Strong expertise in PyTorch and/or TensorFlow, JAX.
 </li>
 <li>
 Distributed Training: Experience with DeepSpeed, Ray, PyTorch Lightning, NVIDIA Nemo, PyTorch FSDP, or similar.
 </li>
 <li>
 HPC Systems: Proficiency with SLURM workload manager and job scripting.
 </li>
 <li>
 Communication Libraries: Experience tuning NCCL, MPI for GPU clusters.
 </li>
 <li>
 Containerization: Expertise in Singularity and Podman for HPC environments.
 </li>
 <li>
 Software Management: Experience with Conda, Pip, Spack, EasyBuild, or Environment Modules.
 </li>
 <li>
 Linux: Strong Linux/Unix skills and bash scripting capabilities.
 </li>
 </ul>
 
 
</div>

Senior HPC AI/ML Support Specialist

<div>
 
 
 Job Purpose
 
 
 
 The KAUST Coral Restoration Initiative (KCRI) is a large-scale coral reef restoration program in the Red Sea in the Kingdom of Saudi Arabia (KSA). KCRI was established in 2021 and is funded by King Abdullah University of Science and Technology (KAUST),a world-class graduate research university in Thuwal, Saudi Arabia. The KCRI will take place at Shusha Island, in partnership with NEOM, a region in northwest Saudi Arabia that is being sustainably developed from the ground up with the world&rsquo;s most advanced technologies to redefine how people live, work, and play.
 
 
 
 
 
 Digital technologies play a key role in supporting this ambitious project. As part of the program, we are developing a digital twin of the coral reef system. The digital twin of the coral reef and nurseries is a virtual replica that collects, displays, analyses, and interacts with real-world data. It will serve as the centralhub of the project, aggregating data from the coral reefs to generate actionable insights for strategy and planning. The digital twin supports coral reef monitoring and protection, facilitates coral restoration management, enables research, and provides KCRI with a platform and portal to engage the public and other stakeholders.
 
 
 
 
 
 In the Monitoring Visualization and Database Management Team, the Data Scientist &amp; Data Manager leads the data science, analytics, and data management work. The role ensures data quality and governance and develops the analytics layer that makes the digital twin intelligent by integrating models and smart analytics. It acts as the main point of contact for all data science and analytics, maintaining data integrity, advancing AI/ML development, and delivering insights that help users understand reef health and support restoration operations.
 
 
 This role will be a part of KCRI&rsquo;s Monitoring, Visualization, and Database Management Team, but will work across all project teams to aid in data continuity across the project. This role is based at KAUST but may require travel to our project site in NEOM periodically to support project needs.
 
 
 
 
 
 
 Major Accountabilities
 
 
 
 The KAUST Coral Restoration Initiative&rsquo;s Data Scientist and Data Managerspecific responsibilities include:
 
 <ul>
 <li>
 Define and oversee the data strategy, architecture, and governance framework for the digital twin.
 </li>
 <li>
 Own the analytics and AI/ML layer, integrating modelsand smart analyticsto make the platform intelligent and predictive.
 </li>
 <li>
 Engage with digital twin users to identify, prioritise, and translate AI/MLuse cases into practical solutions.
 </li>
 <li>
 Develop and manage the roadmap for ML models,analytics, and data tools, ensuringalignment with project goals.
 </li>
 <li>
 Engage with domain expertsto ensure data quality, integrity, and validity
 </li>
 <li>
 Manage relationships with external modelling contractors, serving as the primary contact for data science and analytics guidance.
 </li>
 <li>
 Ensure data quality, accessibility, and interoperability through strong data management practices, cataloguing, and metadata standards.
 </li>
 <li>
 Responsible for performing statistical analysis for our program and developing data incites beyond basic dashboards.
 </li>
 </ul>
 <li>
 </li>
 
 
 Person Requirements
 
 
 
 Competencies
 
 <ul>
 <li>
 Works well in a fast-paced and diverse team environment yet can progress individually on tasks
 </li>
 <li>
 Pays close attention to detail
 </li>
 <li>
 Excellent English written and verbal communication skills
 </li>
 <li>
 Ability to be adaptable in challenging and remote environments that will be developing during the life of the project
 </li>
 <li>
 Ability to organize workload, adapt quickly to change, and deliver under the pressure of deadlines
 </li>
 <li>
 High problem-solving and time management skills
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Advanced degree in Computer Science, Data Science, Information Systems, Statistics, or Mathematics.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 8+ years in data science/management with leadership experience
 </li>
 <li>
 Strong in Python/R and ML frameworks (scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience handling large-scale datasets and analytics pipelines
 </li>
 <li>
 Experienced in ML/ LLMdevelopment and maintenance with strong data management expertise
 </li>
 <li>
 Expertise in relational and spatial databases (PostgreSQL/PostGIS).
 </li>
 <li>
 Cloud infrastructure experience (AWS, Azure,GCP, Data Bricks).
 </li>
 <li>
 Excellent communication and stakeholder engagement.
 </li>
 <li>
 Practical experience with ecological datasets preferred
 </li>
 </ul>
 
 
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Data Scientist & Data Manager

Join KAUST (King Abdullah University of Science and Technology) and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.