5 High-Performance Computing Jobs

Designing software to support large-scale geometric data analysis and high-performance computing for OPC solutions. Optimizing infrastructure for distributed computing, ensuring seamless GPU integration. Collaborating with development teams to ensure efficient data handling and computational resource allocation. Debugging and troubleshooting infrastructure issues related to production line integration. Maintaining and troubleshooting the tool to meet performance and scalability requirements. Regularly contributing to the cutting-edge of semiconductor development by enhancing software performance and scalability. The Impact You Will Have: Advancing the development of high-performance silicon chips and software content. Enabling leading IC manufacturing through efficient software solutions. Contributing to the optimization of infrastructure for distributed computing. Ensuring seamless integration and operation of infrastructure components. Improving software performance and scalability for large-scale data analysis. Enhancing the overall efficiency and effectiveness of semiconductor development processes. What You ll Need: M.S. or Ph.D. in Computer Science, Engineering, or the Physical Sciences. 6+ years of experience in software development, with a focus on computational geometry and distributed processing. Expertise in C++, Python, and distributed computing environments. Experience in debugging and troubleshooting production-related issues. Strong communication and collaboration skills to work as part of a global team. Who You Are: A proactive problem solver with a passion for innovation. Detail-oriented with a focus on optimizing performance and scalability. An effective communicator with the ability to collaborate across teams. A self-motivated individual who can work independently with limited supervision. A sophisticated professional with advanced knowledge and wide-ranging experience.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments. Our Storage Engineers are a valued member of the Managed Services Infrastructure Practice responsible for Tier 3 incident management, service request management and change management infrastructure support for all Managed Services customers. Key Responsibilities Provide enterprise-level operational support to Managed Services customers for incident, problem, and change management activities Plan and perform maintenance activities Assess customer environments for performance and design issues and propose resolutions Work across technical teams to troubleshoot complex infrastructure issues Create and maintain detailed documentation Serve as a subject matter expert and escalation point for storage technologies Work with vendors to resolve storage issues Communicate with customers and internal team with transparency Participate in on-call rotation Completion of training and certification as assigned to further skills and knowledge Skills Required Bachelors degree or equivalent Information Systems or related field. Unique education, specialized experience, skills, knowledge, training, or certification may be substituted for education 5+ years of expert level experience managing storage infrastructure in high-performance computing environments including, file systems, storage appliances, and data workflows. Experience configuring, maintaining, and tuning Ceph clusters. Experience configuring, maintaining, and tuning distributed file systems (e.g., Lustre, GPFS, NFS, GlusterFS) Experience with InfiniBand networking preferred. 1+ years working with monitoring platforms; Elastic Observability is a bonus 1+ years working with an enterprise ITSM system: Service Now is a bonus Familiarity with high-performance computing (HPC) schedulers (e.g., SLURM, PBS, Torque) and their interaction with data storage systems. Understanding of data protection mechanisms, including data replication, backup strategies, and disaster recovery in HPC environments. Experience with containerization (Docker, Singularity) in an HPC context for data processing and application deployment. Solid working knowledge or Linux and scripting a plus. Experience with machine learning or data science workflows in HPC environments a plus. Managed Services or consulting experience is required. Strong background with customer service High level problem-solving and communication skills Strong oral and written communications skills Related Storage certifications are a bonus.

Design, develop, and optimize HPC applications, cloud-based solutions, and infrastructure for compute-intensive workloads. Manage HPC clusters, AI/ML integration, and parallel computing. Ensure performance tuning, and drive cloud-HPC innovations. Required Candidate profile HPC Engineer with 5-10 years Exp in cloud and HPC solutions, expertise in AI/ML, GPU programming (CUDA, OpenMP, MPI), Azure, Linux, storage, networking, and performance tuning.

High-Performance Computing (HPC) NetApp Storage Systems Azure NetApp Files and Cloud Volumes ONTAP Linux Systems Administration Automation Performance Monitoring and Optimization.

High-Performance Computing (HPC) Parallel Filesystems Low Latency Networks Cloud Platforms Infrastructure as Code (IaC) Linux Fundamentals Networking and Virtualization Security and Compliance Programming Skills: Proficiency in programming languages such as Python, C++, or Java, which are often used in HPC applications.