High-Performance Computing DevOps Architect at Applied… · Chennai

High-Performance Computing DevOps Architect Location: Bangalore,IND Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We Offer Location: Bangalore,IND, Chennai,IND You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. Our Team Our team is developing ahigh-performance computing solution for low-latency and high throughput image processing and deep-learning workloads that will enable our Chip Manufacturing process control equipment to offer differentiated value to our customers. Your Opportunity As an HPC Architect, you will get the opportunity toarchitect high-performancecomputingsolutions from scratch and design/optimize all aspects (Compute, Memory, Networking, Storage) for better cost of Ownership. Roles and Responsibility As an architect, you will be responsible fordesigning HPC infrastructure solutions, including compute, networking, storage, and workload management components. You will work closely with cross-functional teams, including Hardware, Software, product management, and business stakeholders, to understandcomputeworkload and translate theminto Platformarchitecture and designs that meet business needs. You will create and maintain detailed system architecture diagrams and specifications. You will evaluate and select appropriate hardware and software components for HPC environments You will Install, configure, and maintain HPC systems, including hardware, software, and networking components You will develop and implement automation scripts for system management and deployment. You will be a subject Matter expert to unblock dependent teams in the HPC domain. You will be expected to develop system benchmarks, profile systems to understand bottlenecks, optimize workflows and processes to improve cost of ownership. Identify and mitigate technical risks and issues throughout the HPC development life cycle. Ensure that ComputeCluster is resilient, reliable, and maintainable. You will be expected to stay abreast of the latest HPC technologies, including Hardware, Software and Networking Solutions Your primary focus will be to understand thecomputeworkload and design HPC cluster with right combination of Nodes, CPU/GPU, Memory, Interconnects and storageto have optimum performance at minimum cost of Ownership. Our Ideal Candidate Someone who has the drive and passion to learn quickly, has the ability to multi-task and switch contexts based on business needs. Qualifications In-depth experience with Linux System administration and Hardware/Software Configuration. Strong knowledge of HPC technologies including cluster computing, high speed interconnects (InfiniBand, RoCE), parallel filesystems (Lustre, GPFS, BeeGFSetc) Experience in creating, maintaining Operating System images with different installation and boot schemes Extremely good with automation tools like Ansible, Chef, Salt-Stack and Scripting languages (Python and Bash) Experience in Creating,maintaining Storage Solutions with different RAID configuration. Ability to design storage solution for different IOPS, Access patterns (Random vs Sequential RW) and tune storage and filesystemsfor better performance. Good of knowledgeNetworking concepts including IP addressing, routing, protocols and Switch configuration for RDMA, VLAN configuration, network bonding etc. Good Knowledge Virtualization, Hardware and Software Hypervisors Good knowledge of containerization technologies like docker, singularity. Experience in Software Defined Networking and Storage. Experience in setting-up remote management protocols like IPMI, Redfish etc. Experience in setting-up and using monitoring systems like Prometheus, Grafana. Experience System profiling and custom tuningfor targetworkloadfor higher performance and low cost of ownership Very good written and verbal communication skills. Very goodinTechnical documentation meant to serve as manuals for non-experts in the field. Additional Qualifications: Experience in HPC Cluster management and Work-load orchestration software (e.g.SLURM, Torque, LSF) Experience in Setting-up Deep-learning training/inference solutions. Experience in Private cloud infrastructure like Kubernetes, OpenStack,CloudStack etc. Experience in DistributedHigh Performance Computing and Parallel programming frameworks Good knowledge of Low-latency and high-throughput data transfer technologies(RDMA on RoCE, InfiniBand) Education: Bachelor's Degreeor higher in Computer science or related Disciplines. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Relocation Eligible: No Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. Additional Locations: Chennai,IND