Director Cpu Design Jobs in Nevada (NOW HIRING)

Job Summary:
The University of Nevada, Las Vegas (UNLV) is seeking a Research Cyberinfrastructure Architect to enhance its research computing capabilities. The role focuses on developing and maintaining high-performance computing solutions, collaborating with campus stakeholders to support research and teaching initiatives.
Responsibilities:
• Architectural Leadership: Lead the design and development of HPC solutions, ensuring alignment with the university’s strategic objectives and research needs.
• Solution Design: Develop architectural blueprints and roadmaps for HPC systems, including hardware, software, and networking components.
• Collaboration: Work closely with researchers and UNLV IT teams to understand computational requirements and translate them into scalable and efficient HPC solutions.
• Technology Assessment: Evaluate emerging technologies and trends in HPC to inform strategic planning and decision-making.
• Governance and Standards: Establish and enforce architectural standards and best practices to ensure consistency and quality across HPC solutions.
• Documentation and Communication: Create and maintain comprehensive documentation for HPC architectures and provide training and guidance to stakeholders.
Qualifications:
Required:
• Bachelor's degree from an accredited college or university as recognized by the United States Department of Education and/or the Council on Higher Education Accreditation (CHEA)
• 5+ years of experience in HPC architecture or a related field
• Experience working in a higher education or research-intensive setting
• Demonstrated success in working with a research team supported federal and/or regional research grants
• Knowledge of a variety of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers (Slurm) and scientific applications)
• Expert knowledge of database, filesystem, networking, server, operating system, and software concepts directly applicable to team science, internet-of-things, cloud architecture, cluster computing, and user management.
• Familiarity with facilitation techniques used to engage researchers from a variety of disciplines
• Experience in developing strategic plans and initiatives, gathering key performance and requirements, and achieving consensus among diverse and potentially competitive stakeholders.
• Experience leading the implementation of technically complex projects affecting many end-users across multiple disciplines and functional areas.
• Experience with Science and Research networks.
• Experience in software infrastructure design, deployment, and management.
• Subject Matter Expert (SME) level understanding of OS (especially UNIX/Linux) systems administration.
• Experience managing high performance computing information technology systems and services through their full lifecycles in an academic or research agency environment.
• Ability to work without direct supervision.
• Ability to learn, deeply understand, and communicate the salient aspects of complex and novel research data system designs and architectures to peers in the University as well as scientific and engineering personnel.
• Ability to effectively lead, supervise, manage, and/or delegate to other staff whose subject matter expertise and technical areas of focus may not closely align with the Research Architect’s own strengths and experience.
• Ability to determine and effectively communicate strategic technology platform decisions in support of key research and science-based service missions and initiatives across the University and NSHE institutions.
• Ability to manage multiple projects and meet deadlines.
• Demonstrate professionalism and collegiality.
Preferred:
• Knowledge of containerization technologies (Kubernetes, Singularity, etc.)
• Knowledge of managing GPUs, MPI, InfiniBand, XDMod
• Knowledge of AI/ML Packages
• Understanding of at least two or more additional technologies listed (data structures related to research, data management plans, data-facing scientific instruments, data workflows, data staging and transfer systems, identity and access management, software utilized in research and cloud technologies)
• Experience in design/deployment of data workflows, especially for team science across distributed computing systems and networks.
• Experience with successful technical grant writing for science or engineering research, technology R&D, and/or technology infrastructure.
• Experience in contributing to national research and data community through workgroups, best practice papers, presentations or organizing and hosting technology sessions in scientific and engineering conferences.
• Experience designing or implementing HPC workforce development programs
• Be flexible and adaptable, which includes embracing new opportunities and unforeseen challenges.
• Demonstrated success developing plans in the areas of research computing, data, and cyberinfrastructure within an academic setting
• Experience with designing and implementing HPC systems and solutions.
• Familiarity with parallel computing, distributed systems, and cloud integration.
Company:
Here at UNLV, we have come together and created one of the most affirmative and dynamic academic environments in the country. Founded in 1950, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.